chocolate cake, which is my favorite. Did you finish this? Most of it. Well, it took about four or five days with the help of family and friends. We got it down to it. I got a friend of mine who made that cake. She surprised me when I was doing an autograph signing and Prokipsy. She goes, hey, how about this? I'm like, whoa, and she had the date right. A lot of people knew I had to go here, but they didn't know what date, and to celebrate like that is a great thing. And then the post here to share with your fans and friends and family, that's what it's all about.


So I'm going to share my topics, which is about auto-intelligence. And hi, I'm actually, my name is Naoya Takahashi from Sony Corporation, Japan. And I'm very excited to be here and share my works. And Sony has actually a software center in here, Bangalore, and I have been working with them since 2011. And every two years I come to Bangalore, and I've learned that every time the new buildings are constructed, and I feel like every time I come to a different city, but which suggests that this city attracts many industry from all over the world. So I think it's really great to have ODSC here. Yes, and I'm very happy to be invited. And after this conference, I also attended another conference which will be held in Heidelabert, and that conference is on the speech processing, and which is one of the biggest one. So it also indicates that not only industry, but academia also paying more and more attention to India. So it's really great, and I'm very happy to have a good connection with people in India. Okay, so in next 40 or 45 minutes, I'm going to share my research work, which is auditory intelligence or AI. And I know the AI usually stands for artificial intelligence, but and I think that word is something about which focused on the blame. But today I'd like to foresee that about intelligence together with sensors, especially auditory sensors. So we have five senses. Somebody have six senses maybe, but usually I have six five senses. And since almost every signal is processed in blame to extract higher level information, like what he said or what this material made of or this restaurant is good or not. And since our products and research mainly focus on the visual and audio domain, let's focus on them. And nowadays in these domains, the deep learning has made a very, very good, very huge progress. For instance, the face recognition is already surpassed the human ability so they can machine can recognize more accurately than human. And smartphone app can create the smiling face from the neutral face. So everybody in the world can be happy in appreciating the smartphone. And machine also started to draw even art. So in this example, the only photo and style image like this is provided and machine can automatically generate the art, artistic, photo-like painting. And in audio domain, the automatic speech recognition also reach to human parity and it also start to play a music like this. So to generate this sound, no music score is given. So machine simply listen many, many piano sound and learn to generate un-listened, never seen music sound. So although these results looks very amazing but there are still a lot of things that machine cannot do. For instance, what machine can understand about this image? Yeah, machine can understand there is a fat woman or there is a puppy, there is maybe text in the poster but machine do not understand the story behind this and how funny it is. Or the speech recognition works sufficiently good in major languages but not good in minor languages or dialectic sound. I heard that in India is more than 100 languages spoken, that's amazing. 2000, wow. And how many of them has automatic speech recognition? So it's also good to have any type of language for speech recognition or whatever. And it is also great if machine can even surface the human auditory like for example extracting only one instrument sound from music in noisy environment. So before addressing these problems, let's consider more about the sensors by reviewing the history of evolution of life forms. So before 540 million years ago, the life forms is considered to be a very, very simple like this, so just one in the water and the eight watt crossed by, so very rich life compared to nowadays. And but in 540 million years ago, the Cambrian explosion was happened and the number of species is exponentially increased. And the reason why this phenomenon happened is still not clear but one theory proposed by Andrew Parker says that the appearance of eyesight triggered this explosion. With eyesight, the species can actually catch a play or escape from its enemy and also adapt their habitat or active time. And some species further developed the auditory sense and together with brain and it enabled them to communicate with each other and exchange information or knowledge. So it seems that extending the sensing range and is one key strategy to evolve and prosper. Now we are developing AI and I'm thinking that AI is a kind of evolution to evolve ourself by sensing the ocean of multimedia. So it made it possible to sense beyond the physical limitation like time or length or time or location. So every day many videos are uploaded on the internet and many live cameras is also connected to the internet and we still have very limited capability to sense them and make use of them. Since the machine only understands the attached transcription or the metadata which attached to the manually and machine does not understand the content itself. The auditory intelligence address this problem. Its goal is to enable machine to understand the audio and content itself and make it possible to create a new content or extract information for you or search a video for you. So with auditory intelligence, the communication between machine can be more natural and machine can understand the world as we do. Okay, so auditory intelligence looks help our life but why sound? The computer vision is also good, so is it not enough? Well, we have sound has complementary advantages. One, the first one is the sound cover wider area. Even an object is occluded or out of camera, the sound still reach to the microphone. And second, the sound is sometimes easier or faster. So many people realize that speech command is first of an easier way to control the devices. And sometimes more informative which is it contains the information of emotion or material, look at this droid. He does have any face expression but he can express his emotion. I don't know he or she but it can explain his emotion. Very fluently like this. Or we can also have some idea by hearing the hitting sound. For example, do you hit the water mirror if you buy than to see if it's sweet or not? There's also sound contains some information, right? So there are many things still we have a lot of things that to be inspected to achieve the auditory intelligence. So today I'm going to introduce my work, four works towards auditory intelligence. First I'm going to address the speech recognition for low-resource languages which is currently ASR system still struggling. And then move on to the audio event recognition for no speech signal to understand the content itself better. And then also to address the video highlight detection which needs high level understanding, seen understanding. And finally, I also address something go beyond the human auditory capability, namely source operation. So first I'd like to address the automatic speech recognition for low-resource languages. And this work is done but when I was studying at the ETH Zurich in Switzerland in 2015. Okay, so I guess most of you are not so familiar with the speech recognition. Although the first, today's first speaker actually made a great wonderful introduction. So you might also have already have some ideas but I'd like to review a little bit. So suppose we have this at our end. Pen pineapple, a boba. Then the goal of speech recognition is to recognize the sequence of words like yeah, pen, apple, pineapple. And in order to do that, we need a model like pen recognizer or pineapple recognizer or after recognizer, recognizer. But actually the number of target words is very huge. So it's not good idea to model each word independently. So instead we usually split word into subword and prepare dictionaries which maps the each subword unit sequence of subword unit to our word. And commonly used subword unit is phoneme. Like for example, after complies with three phonemes, up, left, like that. But this phoneme is motivated by the linguistic knowledge and it might not be the best option for ASR, automatic speech recognition. And also it's very time consuming and is a lot of expertise to create such a dictionary from data. Imagine that if you, in order to prepare these labor data, you have to listen all data first and they assign the labor for them. So therefore the automatic preparation or creation to such a subword unit and the corresponding dictionary is very clearly required. So here the goal is to jointly learn the subword unit and corresponding dictionary from data without any label. And actually we can find several works that try to achieve this goal but none of them can achieve the better qualities and phoneme based model. So we propose two ideas. The first idea is semi-supervised deep neural network training. And the second idea is to estimate the reliable dictionary from multiple attalances using K-Vitavian-Vitavia algorithm. So I briefly explain how the current this proposed method works. So first we extract the features from the waveform by applying small window. And any feature can be as possible like MFTC or filter bank. And after we extract the feature from every flames, we get acoustic space, something like this. And initial subword unit is obtained by clustering them and then we model each cluster using the GMM, the single actually single component GMM Gaussian model. And that is the initial acoustic model, sorry, the subword unit. And from now on we call this subword unit as the abstract acoustic element or AAE. So now we have initial subword units and acoustic model. So the next thing is to estimate the dictionary which maps the sequence of subword unit to our world. So suppose we have a pronunciation of apple and the corresponding sequence of feature is something like this. Then the dictionary is something like this. So A1, A3, A5 like this. But if other person pronounce apple, we might get different sequence of element subword unit. So in that case, what should be the pronunciation? And we estimate the subword unit by jointly maximizing the joint likelihood of multiple attalances using the K-Vitagy algorithm. But it's too technical, so I will skip. But the important thing is that we estimate the dictionary using the multiple attalances in order to get a reliable dictionary. So now we have acoustic model and dictionary. So we can actually create a built automatic speech recognition system. But the initial model is quite noisy and not reliable since we do not use any label. So we analytically estimate the acoustic model and the corresponding dictionary analytically. So first we estimate it like this and then we fix the acoustic model and learn the dictionary and then fix the dictionary and estimate the acoustic model again and again. So by doing so, the model will be more and more reliable. But the important thing is that at each relation, we increase the number of GMM to get more expressive modeling capability. And then finally, we replace GMM to DNM to further improve the modeling capability. So which enables us to model a very complex acoustic space using this technique. So we evaluated our proposed method on the isolated world recognition. And this table shows the accuracy of, I'm sorry, the world error rate. So which means that how many times the system made an error. And the upper two system is the conventional method which is phoning based method and which requires a lot of training data expertise. And the bottom two are the proposed method which data-driven so we do not use any labor data. And as you can see, the proposed AAE actually outperforms the phoning based method. And we also investigated the number of AAEs. So how many abstract elements do we have? And interestingly, we got the best result with 384 elements, which is far more than phoning. So it indicates that the data-driven method can model the acoustic space more precisely rather than manual one. Okay, so the conclusion for the first topic is that we proposed the method to model the acoustic virtual recognition without labor and it's good suitable for low resource language which we do not have many data set. But more important thing is that if we do not have the large amount of data, we can still use the deep neural network by combining the conventional method and deep neural network. Okay, so let's move on to the next topic which is about audio event recognition to which is for understanding our theme better. And this topic is actually getting more and more attention recently. And for example, the Facebook released a large dataset for this task in this year. But when we did this task, I mean this work in 2015, there are relatively limited amount of data. So we began by creating a data by collecting the data from the internet and built this dataset, audio event dataset which complies with 5,000 grids and in total 768 minutes. And at that time, this is one of the biggest dataset. We also make this publicly available for the community. And using this dataset, we built audio event recognition system. And in order to get the good performance accuracy, we propose the three methods and three ideas, large input field, deep CNN, and data augmentation. I will briefly show you these ideas. The first idea is large input field. A conventional method for automatic event recognition you typically apply very small window and extract feature from them. And then aggregate these features by using bug of word or HMM or simply averaging them and get some large field features for this. But during this process, the temporal order of blame-based feature is lost and causing considerable information loss. So we propose to model entire acoustic event which is few seconds and input it as a single input to the neural network. And it sounds very simple, but it actually a bit difficult since the dimension of input is quite large. So it is not good idea to model it with standard fully connected neural network. So instead we use deep CNN to model them. And I'm not going into detail about the deep CNN or convolutional neural network, but it has, I just mentioned that it has a transition invariant probability which is suitable for our case because the audio event can happen at any time in the audio, so it should be invariant to the time shift. And in 2015, one specific type of convolutional network called VGG is proposed by Simonian, I think. And so, and it works very well for speech recognition and image recognition. So we adapted that architecture to our program and proposed two types of architecture, A and B, which complies with seven layers and nine layers. And it's significantly deeper than previous work. Okay, so this is about the architecture and the last idea is the data augmentation. As you know, the success of deep learning is supported by another large amount of data. So it's better to have more data even we have some amount of data. So we created a new data from currently we have by mixing two samples. So if we mix the two birds singing sound, the mixture is still birds singing sound, right? So we randomly mix the two samples by changing the timing or amplitude and create a new data for training. And it can prevent the overfitting, deep learning overfitting. Okay, so this is the evolution of our proposed method. So we compare with six baselines and first four baselines is the conventional audio feature. And these two, one is used to propose large field, large input field, but with shallow network. And the last two is the proposed method, so we choose all three ideas. And it actually validates the all of three ideas. So data augmentation helps improve the performance for every method. And a large input field is better than any other conventional aggregation methods. And deep network is better than shallow network. Okay, so now we have audio event recognition system. So what we can do with it? Of course we can search the video which contains for example birds singing sound or dog barking sound, but actually we can do more. And I'm gonna show you an example and that is video summarization. As video camera becomes omnipresent, the bus number of video is taken without considering too much. I mean, so it's very casually recorded. So touch data usually very long and shaky. So it's good to have automatic highlight detection system, right? And I think I believe that this system is good step, important step for the high level scene understanding. And conventional method for video summarization usually use only visual feature, but audio is also very informative. Imagine for example, the detecting the highlights thing of skateboarding. Yeah, the jumping scene is most probably the highlights scene, right? And you can expect the particular sound when the skaters jump. So in order to capture such a sound, it is important to design a good audio feature to which is informative enough to characterize such a moment. So we built a new audio feature using the aforementioned deep neural network, completion neural network. So we first trained audio event recognition system as I discussed, we discussed. And then we freeze the network and from the new dataset, I mean the video, we extract the audio and feed it to the trained network. Then we use the activation of hidden layer as a feature. And the feature taken as this approach is often called deep feature and it works very well for image desk and audio task as well. So we extract the deep feature from audio and video, I mean visual information and we build a small network on top of it and train it to detect the highlights for how highlight, likely how highlight the moment is. And it actually, this is the first system which fully did neural network based highlight selection system and achieve the state of the art performance. But I think it's more interesting for you to see the demo rather than figure. So I'm going to show you a demo about this video. So first I play back the original video and then at the summarized video which use video visual feature only and then finally the audio visual one.  You ready? Yeah. Yeah, go. That's nice. All of that. That's up. You already got it. You got it. It's recording. It's recording. Yeah. I think it's recording. It's like. You ready? Yeah. Yeah, go. Yeah. I think it's recording. It's like. That's nice. All of that. So let's analyze a bit about these scenes. So this is the highlight score of the first video and as you can see the green line is the visual feature only version and blue line is the audio visual feature version. And as you can see here, you can observe the foot stepping sound. So the proposed method successfully capture this sound and assign the high score on this. Without visual feature, it seems that when the man jumps, the color of background and man is quite similar and she is very far from the camera. So according visual feature only, it tends to extract the moment which the man is very clearly visible. And this is the highlight score for second video. So it successfully capture the assigned high score around the jumping moment and you can observe the jump sound around here. And it is also great that it's not simply rely on the volume. So for example, here speakers, the cameraman I think speak, but it does not go, the highlight score doesn't go up. So it selects really capture the interesting moment. Okay, so this conclusion for the second part is we proposed the convolutional neural network which can recognize the audio event and that can be useful for video analysis. And I think I believe that it's an important step toward the thing understanding, high level thing understanding. Okay, so finally let's discuss about something go beyond the human auditory and which is audio source separation. So what is audio source separation? So sound surround us is actually the mixture of many different sounds. So voice dust in music is complied with many different instruments sound. And audio source separation aim to recover the each music track or instrument track from the mixture. And it's very useful for many applications. Voice dust for video editing, in image we can extract for example this dog by using Photoshop for like this, like that. But if you want to do the same thing for video, you might also want to extract dog barking sound from the video, right? And in order to do that, we need a source separation. Or if you want to walk around the live content before you want to be in the middle of band, then it's more natural that the sound should come from the visual position. And if the market track source is not available, then we need to split from that mixture. One more easily, the karaoke or it can be used for karaoke or music education. Okay, so how can we design or build the source separation? And actually source separation is very, very difficult problem. It's like mixing the coffee and milk is very easy, but splitting it is very difficult. So we use the deep neural network to extract these two components. So first we prepare the mixture and corresponding instrument market track sources and feed the mixture to the neural network and train network so that it minimized the error between the squared error between the target source and estimate DNN output, the estimate target source. And it sounds a bit easy, but actually it's very difficult and our initial trial doesn't work very well. So we developed the special type of deep neural network for audio. And it complies with four ideas. We call this network as the MM dense net RSTM. So first idea is to use the dense net, which complies with the convolutional neural network and the skipping connection for all succeeding layers. And next one is the multiband modeling. So it's important to model the local fine structure information and global information at the same time. So we placed the multi-scale module, so one module for high resolution to model the fine structure and another model for fine, model the global structure. And we combined this information to efficiently model the entire spectrogram. And next idea is the band splitting. So different from image, the audio, this is spectrogram. And as you can see, the spectrogram is different, has different pattern in lower frequency and high frequency. In low frequency, you can observe the high energy and long tone, but in high frequency, it's more noisy and less energy. So it's not a good idea to use the same model for high frequency and low frequency. So we split the band and place the band dedicated module for them to model it, different frequency pattern. And the final idea is to combine the convolutional neural network and the recurrent neural network to have more expressive model capability. So we evaluated our proposed method theory. In order to write theory, we participate for separation contest. And the size is the one of the biggest audio source separation contest for music source separation. And the task is to separate the music to the four components like vocal, drum, space and others. And this is the result of last time competition. And the vertical axis is the signal distortion ratio, which is the metric to measure the how the separation quality is good. So higher value is good. And horizontal axis lists the number of participants like New York University or FHG or Spotify. And as you can see, Sony got the best result. And actually the left, right side is, the yellow bar is the kind of theoretical upper bound which used Oracle data, so which is not available in real case. So we got the best result. And actually we attended this competition for three times and got the best result for three times in a row. Okay, so now I'm going to show you a demo of our source separation system. So first I play back the mixture and sequentially the separate sound is played back. She's the art to come a fascination. That's what's real to me. A red hot chip pack. She's the art to come a fascination. That's what's real to me. A red hot chip pack. That's my creation. She's. How the Sony also, Sony can contribute to the world using the auditory intelligence. And if you look at our product, most of our product has audio IO. And with auditory intelligence, we can provide easier way to control our product or we can create a new content or we can engage the customer to the new content. And I believe that the most of auditory tasks will be done by machine if we have good data set. I mean, data is one of the key element. And someone says that the company who has data will win. And of course there is many data, personal data data in YouTube or any other things. But we have a professional data like music or pictures, movies or TV programs. So by collaborating with them, I think we believe that we can provide to the world in different ways to compare with other companies. And this is my final slide. So I'd like to also think about the future of auditory intelligence or AI. And many species extinct when they cannot adapt to the change of environment like appearance of superior enemy. So we need to evolve ourself to adapt the changing which is happening or may happen in the future. And we doing so by developing the technology. And currently we are developing the AI. But technology also distract the environment and it actually cause the, make our lives actually worse sometimes. And same thing has happened for AI. So sometimes AI reach the technical singularity which means that AI surpass the human intelligence. And I don't know what decision AI makes to make the sustainable world. Maybe reducing the population is the best way. They may just like that. Yeah. So I don't worry much about this scenario but I'd like to mention that all people who are working on machine learning or AI is responsible for future of AI. And I'm currently working on just a research job working auditory intelligence. But I'm always thinking to how can I contribute to the world to make it a better world or fulfill the world with fun or joy. So I'm very happy to share with my works and have a chance to discuss about future of AI in this wonderful conference. Thank you very much.


good morning this is the first morning all week I have not woken up to work out but I think I wanted a little extra time to work because I actually have a very busy Friday today but this is my first vlog while in Miami so I don't think we're gonna go out and do Miami things that's for later vlogs yeah I felt like vlogging today so let's do that it's like 8 30 I'm gonna make breakfast and quite frankly I have a couple meetings I have in my head to film three videos and then make a couple tiktoks I don't know if I'm actually gonna end up doing that because that's like a lot but I do need to film a video for today probably uploaded today we'll see and I'm vlogging and then you guys will be able to get a sneak peek of the apartment because I know a lot of you have asked for a tour I'm not ready for an official tour yet because for one it's kind of messy in here today and two we're still kind of figuring things out and have a couple pieces of furniture spilled and then but the apartment tour I will have it in a vlog probably anyways you'll definitely be able to see things in the background before we get into making breakfast I want to say a huge thank you to our sponsor for today's video so let's get into the sponsored portion for supporting my channel and making all of this possible all of my work from home people who stare at screens all day listen up this is so funny to me that I'm promoting it but I love it so I had to this is the Renfoe eye massager as you can see it comes in a really cute box so it does make a great gift for Father's Day Mother's Day anniversary again it'll be silly but then they'll actually like use it I don't know I'm addicted to this thing I've been buying everything in my apartment for Amazon and I've just been like spending hours on the website so this is actually the best selling eye massager on Amazon like I said it is great for those of us who have eye strain and stare at screens all day it looks like this I look very silly when I have it odd super easy to clean though and it has like skin friendly leather it allows you to refresh your eyes with a massage it's designed to target your acupoints with a combination of air compression bigger point comfort and it will even play music through bluetooth on your phones at least you can listen to something or a podcast I turn on my podcast when I'm using this and then the head strap is also adjustable I got a small head so I need this the heating function is my favorite and it's great for eye strain eye puffiness dry eyes and wakening and the blood circulation around the eyes which I think is really cool and I actually do feel like that it does work and help those areas especially after working long days and you know staring at a screen and number one I massage around Amazon you guys like over 600,000 annual sales which is crazy and it's also been recommended by 100 celebrities and bloggers because it's so cool and you know how Amazon will sometimes have discounts displayed this will sometimes have discount displayed for you from time to time every month so that you're able to save some money on this I don't know man this has just been a great nighttime routine for me I love to turn on the heat function turn on my podcast and just relax with my eye closed it helps get me nice and sleepy before bed super relaxing so when you put it on your eyes there's a few different modes one mode will allow you to have air pressure heat and music one is air pressure heat vibration and music one is air pressure only in music heat only vibration only music I like the heat setting I'm about to look so stupid I really need to show you this this is important you guys listen wait where's my phone it kind of massages my temples I love it okay wait wait wait any girls got to eat listeners here love that podcast oh the heat feels so good and you can change the volume of the music up and down okay you guys probably cannot take me serious doing this but I could lay down and go to sleep with this heat setting anyways once again it's a huge thank you to Renpo for sponsoring today's video I know it's so funny because I normally don't take sponsorship from tools like this but this one was special I love it okay um you're gonna see me using it in future vlogs okay it's part of my new nighttime routine nothing good in the fridge let's see what Morgan's up to what the mind your business are you in the metaverse already mm-hmm he makes fun of me now look does it feel good the heat right the heat's my favorite do you guys see Jose's abstract art so the key to our apartment for this year during our lease is functionality and might not always be the most pretty but we have a lot of balance in our apartment lots of echo so we put these up to help with the echo a little bit the echo is still here so we're figuring it out and you guys don't mind it so much in my videos but just in general I'm sure you can hear the echo right now and I mean it's just gonna take time we don't have a couch or anything in here yet it's kind of expensive we spent a lot of money moving and buying essential stuff that we needed here so we're gonna wait before we get anything like that but yeah so if you're wondering what these are it's abstract art to help the echo condos aren't ready yet so I have to eat my breakfast burrito without it I forgot about toasting my tortilla and now we toasted it for too long because I was posting something on my Instagram and I overdosed it and that was like a tortilla chance the crunch that's on crunch I haven't done my hair or makeup today yet but outfit today is this adorable set from Amazon ignore my socks but how cute is this so I'll link this the set from Amazon I'm wearing a size small and for reference I'm tiny I am only for 10 for 11 for reference but yeah it's a great length on my petite body and I love it I'm making a coffee because that eye massager I did it for like 10 minutes and now I'm like it's so relaxing don't do it in the morning do it at night and it will help you sleep I'm trying to get Jose to do that because he has problems falling asleep and I think the heat of that will help relax him to make the coffee liquid stevia for me is key to sweetening and iced coffee I'll use whatever to sweet in a hot coffee but you need a liquid sweetener in my opinion and for some reason oh my goodness is gonna keep falling all day for some reason all of the grocery stores near me and do not have cashew milk and cashew milk I've talked about this before is my milk of choice I don't like almonds milk I don't care for oat milk nobody sells cashew milk I found one at a random Publix so I made a whole Instacart order just for cashew milk I'm so happy that we have cashew milk again because I've been suffering through almonds milk before this because they and I have also been looking into coffee creamers that were a little healthier we found this nut pods French vanilla and it's disgusting it's the unsweetened kind so that's probably why but I we paid a lot of money for this so I'm taking one for the team and I've been finishing it but I mix it with my super unhealthy melted ice cream international delight we just decided you cannot substitute creamer for anything healthy you cannot you just gotta get the unhealthy one we tried but we got to stick to this and we have to have creamer you guys the coffee is not enjoyable to us without creamer I know some of you take it black you are an amazing specimen because I cannot give me a little taste of joint in the morning okay another Amazon purchase that I need to share with you I starting in all my vlogs now I am an Amazon Queen I'm gonna give you so many Amazon recommendations because that's why we are buying everything from like I said earlier these straws okay I have to drink my coffee with the straw so one thing I hate about straws is I feel like gunk always gets stuck on them and if you follow me on Instagram you've probably seen the story we found these silicone straws on Amazon they have a seam so that way you can open it up and literally clean it because a big fear of mine is getting gunk in my straw when I'm drinking and that I don't expect you don't really know what it is so this is for my peace of mind it's a little bit thicker you know so I don't like how thick it is but for my peace of mind knowing I have a clean straw I will take it I'm gonna link it it's a pretty big set for like 11 or 12 dollars but you can get the most out of it because Jose and I trim them and cut them in half and we make up two for like this smaller cups that we use and then we have a couple ones that be kept taller but yeah another Amazon work right here baby mmm let me see how does this taste yummy the liquid stevia I'm telling you okay I need to be productive now let me answer some emails I want to show you my desk setup see I'm gonna give you snippets of the apartment don't you worry so Jose and I like to have our desks together that's how we had it at my parents house so we bought two desks and pushed them together we both kind of customize them there's the same desk but like I didn't want mine with the riser that Jose's house so we didn't put that on and I wanted the drawer and then Jose did not want the drawer so our desks are the same but we customize them yeah we have a black and pink theme over on my side literally everything you see is probably from Amazon I haven't decided yet how to decorate the bottom here but I have my iPad stand we have to buy a plant for that and I don't even know if I'm keeping that but anyways how cute I love my little desk area okay let me answer some emails now we also got this see all I'm gonna talk about is house stuff we got this rug yesterday it's very black our apartment as you can see is very black and white we do plan on adding color we just we had to chill with the spending first before we buy more decor one of the videos that I'm prepping for today I'm gonna film it after my meeting is things that I wish Pat McGrath would launch and I posted on Instagram make sure you're following me if you're not to tell me what you think is missing from the line or what you would like to see I mean since this video is up you've already seen that video but I would say like 85 percent of the answers is more colors less pinks anything that's not pink nothing pink palettes with bats that aren't brown or pink no pinks or gold it just keeps going on but if you are interested and you want to know like kind of what I would come out with if I were on the creative team over there check out that video I also share your guys's inputs as well I'm not the most creative person when it comes to putting together things and like I can't make the launches for them but I did kind of give general ideas of what direction I would think would be fun for the brand to go in the video idea was inspired by Kelly Gooch because oh my gosh I love her video she's so creative when she comes up with concepts basically for brands and she predicts what brands would launch and oh she's so good anyway she totally inspired that video but it's been fun for me to think I've been pondering it the last couple of days I have a meeting in like five minutes after that I will better okay productive meeting it was fabulous hair is done this is my lazy girl hair when my hair looks like how it did this morning I tie it back and then I curl the front and it looks like I put a lot more effort in than I did I am pulling the products that I want to use for the first video I'm filming today which is my beauty buffs tutorial so if you don't know I have a monthly membership I believe it's $2.99 a month I give my beauty buff members one exclusive tutorial a month and this month Pat McGrath mother ship free subversive is what the tutorial is going to be based around since I'm filming another Pat McGrath video after so I am just pulling the products that I want to use and for my beauty buff tutorials if you're interested in joining there should be a join button down below I use Pat McGrath or Natasha Denona every month and then I also kind of shot my stash for the rest of the product so I'm just gonna pick some random products that simply I feel like using a lot of them will be discontinued and just a way to bring back some of the old so let me grab some of these first I look crazy I'm in the middle of filming a tutorial but you guys my second meeting I completely I didn't forget about it I knew I had a second meeting but I like lost track of time while filming this and I showed up to my meeting looking like this and I was like sorry anyway so I'm getting ready beauty buff to do okay you guys know what I'm doing I told you I'll meet you I just had to tell you about my flop I'm a very organized person but dang I flopped that one video down I have one more I need to film but here's how the beauty buff tutorial look turned out it's not so pretty oh my goodness it's already like 12 30 I'm gonna make myself a snack I think let me go see what Jose is doing he was busy this morning doing stuff I have convinced Jose to get poke with me and I'm gonna take this ridiculous take off me now I filmed two and a half videos today the vlog accounting as half and I'm going to take my makeup off we're gonna go to it's poke I'm gonna bring my computer and work stuff with me and Jose I think wants to sit by the pool I'm gonna sit by the pool and work I'm not gonna change into it since it though because I just want to work in read by the pool but I'll hang out with you it is an absolutely beautiful day out in Miami today oh I don't want yummy it's all juggled I couldn't see it today oh Nagyrian telling you I mean I've only lived here for three weeks but they have my favorite poke here's Jose's we basically get the same thing but the struggle is mixing it though without making a mess you got to eat some of the rice at the bottom first and then you'll have a little room look at oh Jose had to help me I couldn't do it definitely did not end up going to the pool because okay bowl had me so full I needed to lay it down we're gonna pick up some packages so we have one from Amazon one from us ps I made sure to grab catch that oh you said record let's unbox the first one is from beauty I do have a discount code now I will put it well I've had it I just forgot I had it but I just remembered I have it because they email me and they were like you have a discount code and I was like oh straight I think it's more you turner but it will be on the screen they have some of the best color story oh it's so cute okay let me show you Jose's snacking right now how cute okay so we have some eyelash where they look quite dramatic this one looks a little bit more wearable we have a brush cleaning pad love these and they are great a cute little tumbler that says v-tay for all these are great these hair clips so that they don't leave any creases or anything I have a headband it's kind of small and then the most exciting part of them all we have a palette the quintessential eyeshadow palette big packaging I think Jose's least favorite part of me doing what I do for a job is having to do without the recycling is the packaging you just giggle cuz he knows it's true oh how pretty look at that I'm excited to play with this I love the way that ace beauty puts together a palette thank you so much ace can't not wait to play I definitely am gonna be using a lot of this stuff so this one is an older package because it was sent to my old address and then got forwarded I think I lost and this is not that big of a deal but I think I lost a lot of PR packages just because of my address change my mom is still getting a bunch and there's between the time that we moved in the address change it's taken weeks for me to get certain packages from the forwarded address I don't know how do people move and change their address it's not even like you know PR is great and their gifts I don't care that I'm not getting them but if I move again you know I don't want strangers to get my packages they're annoyed by it because it can get annoying my mom likes it though she's not but next time I move it's not gonna be my mom getting it so that's why I need to figure out how to deal with this so this looks like it is from essence what on earth I'm kind of scared why is there white gloves and a disco ball interesting how does one open it oh is there anything else I don't think I think that should be it yeah okay so essence sent over their extreme shine lip glosses I'm gonna have to email them and change my address but some of these look very very pretty so thank you so much essence today's the first day that Hosea and I haven't gotten anything for our house and mail we've been ordering stuff every single day from like you test the little things like utensils to our Google home just like things that we think of that we need very cool thank you essence and the last package I don't think I can show you guys I think it's a collab palette that has not been revealed yet I can't tell you anything about it but let me just double check oh I'm so excited I've always wanted to try a palette from this brand and I'm so excited that this gets to be the palette I get to try and it hasn't been revealed yet so I don't even know what it looks like I'm gonna message them a picture of it so that they know that I have it oh oh you think you think it's pretty Hosea I'm excited for this to be revealed to you guys I know a lot of you are going to like this one but that's all I can say at that I'm gonna clean up all the boxes now but thanks for joining me for this unboxing hey Hosea is building our console table why does that look like a shoe rack it looks like a shoe rack but anyways let me show you where the console table is going if you're watching this you're special because I was not gonna show you our apartment until it was like clean and more put together but I mean I'm figuring that that's gonna be a ways away but here's like the front where you enter we're gonna put the black console table here this is where I have to keep my eyeshadow palettes and I have a new bed cover that we're gonna put on our bed this weekend it's a little messy we're gonna clean this weekend there's a box we still have an unpacked kitchen which you guys have seen in the background this is my office my fake office but see I film like right here you see and this is where I film but in all reality the kitchen is right behind me this is a Milani PR box that I actually should show you guys it has a lot of good stuff in here that I need to empty out I love Milanese PR packages but a new team do need to unbox that maybe love a coffee station that's me you've seen our desks we're gonna put a chair right here like a seat a comfortable tiny couch we're like a one-seater we just are holding off to the right one shows up and then I've shown you guys this on Instagram but our balcony is extra long for like no reason we weren't gonna have these chairs with us these were supposed to be our beach chairs but they're super comfortable so we just left them there anyways but this is like the aesthetic cute side and then this is the practical side for comfort I chill here all evening I'm loving the Florida weather right now I will be complaining later oh it looks better now with the top piece we're gonna get some cute decorations eventually and then if you walk over bathroom our bathroom is like nothing special good turn closet and then here's our bedroom yeah as you can see we have a lot of work and decorations and whatnot to add but we have the main furniture that we need I mean we were living here for like the first week without anything except a blow-up mattress and it was really really sad so we're happy to have somewhere to sit and a real bed now but we spent so much money that we're like all right we gotta chill a little bit like a month or two before we start buying all the decorations and stuff because buying it all at once is painful so there will be like an official apartment tour it's just gonna be a few weeks so I just showed you guys that so you kind of saw what we were working with like I said in the beginning of the vlog our apartment this year is about just being functional the rental market in South Florida right now is crazy absolutely crazy we originally were going to get a two-bedroom because look at all my stuff it's for my home office and whatnot but with how crazy it was we just settled for one bedroom we figured we would make it work and honestly it's working out really great for us I was worried that our space would feel too small but I mean it feels so much bigger than I thought it was going to so I'm actually very very happy it's totally functional for us this year but eventually I I want to have a normal living room we aren't sit down on the couch and watch TV kind of people so I don't feel like I'm missing out too much yet just you know I would like a space that is not dedicated to my work eventually I can just chill at that's why I'm on our balcony all the time I mean I think the space has worked out really great for us so far I love it it's an amazing first apartment I feel so lucky so blessed to have this apartment love the building love the area how are you liking living in Miami he loves being able to walk the weather I mean this Miami was made for him so it's perfect so I can't wait to upgrade our apartment but for this year I'm really really happy with what we ended up with I was so worried you guys because of how fast the apartments and condos were like going out we didn't even get to really see this apartment this unit before we signed the lease I know they say that's a big no-no but literally you guys when we were searching we would set up an appointment to go view an apartment and before we could even like physically get there they would be like oh somebody already rented it so we had to look at a unit in a building that wasn't the exact unit just to be able to sign a lease on it like it ended up good I don't recommend it for everybody if you have the ability to see the unit definitely see the unit because I had no idea what type of space we were working with if it would be enough space for us we got lucky but anyways if you're trying to move to South Florida it's a mess and it's very expensive and it was a very very stressful process we're just happy to be here loving it so far I am also loving walking places I hate driving hate it we paid extra for a central location and I couldn't be more happy about it I don't want to drive I don't care to drive and the Miami driving the worst drivers I have ever come across I am terrified to be on the road like I told Jose I have officially retired from driving as long as we are living here I will not hop in a car and drive somewhere because the drivers here are manic even Jose who has driven in the city he's from Madrid and he thought he could handle it they're way worse here it's like people don't know the rules and they're so aggressive which ends up backing up everybody anyways I could go on I will go on later but I'm gonna stop now did you put the constable up yeah it's bland we don't have any decorations on it but let's see we'll have to go to IKEA next week finally get some decoration what why'd you ruin that you ruined the aesthetic and it needs to be pushed in a little bit more probably have a problem yeah I might need to put it somewhere else well put it in the it looks good though yeah thank you thank you thank you you have to move it like a long portion look I'll update you when we figure that situation out so no this is the face of Jose is dragging me to the gym so I actually do need to go though but when I get back I need to finish editing a video because I have to submit it to my manager and then I also want to edit the video I want to post tomorrow and I need to edit a TikTok I do this to myself I decided to get poke instead of edit videos and here we are anyways see y'all at the gym I buy from the gym took a shower had a snack my gel polish fellas finger in the shower but I think I'm gonna call this vlog a night I saw it was like over 30 minute long so you know I worry about blogs and that I don't have enough content for one day and then I talk the entire time and the blogs are always long so anyways thank you guys for hanging out with me anyways a huge thank you to Renfoe for sponsoring today's video make sure you guys check out their I'm sorry I will have a link down below and until next time I will see you guys in the next one


Very good morning to you. Welcome back. Welcome back to entrepreneurship Tuesday It's all about good music and getting informed while at it So head on to our Facebook Facebook page at Y2-5-4 channel and we are asking which business Do you think is just a waste of time and will make losses or zero profits anyway? So I need to hear what you have to say. I just need to hear your experiences I just need to hear your thoughts. At Michela Shirai's where you can find me across all my social media platform at Y2-5-4 channel Is where you can find us. So this time this particular conversation I'm going to have with a very young beautiful, gorgeous, younger lady And she's already a chef at a very young age. I'm not sure if she's allowing She will allow me to mention her age, but it's okay. So she goes by the name Naima Ashley and she's a chef. Hi Naima. Hi Michelle. How you doing? I'm well. Introduce yourself. Hi people. My name is Ashley Naima. I'm a chef. I'm a student chef at Amoselli Institute in Thika. Yeah, so basically I'm a chef. All right. So all gorgeousness, all beauty and she is a business owner. Tell us about where did the love of, first, are you in a culinary school? Let's start there. Yes. Okay. Which year? I'm in my second quarter. Okay. Yeah. I'm at Amoselli School in Thika. Yeah. All right. So at what point did you decide like now I'm just going to go out there and start my own business? I can tell it's been a passion of hard for a long time. There's a point in life when I had to go back to my village. Like I went to stay with my grandma and this is where things got really interesting because she'd wake me up like wake up, young girls are waking up, you wake up, you clean the house, make breakfast. As a woman you need to cook, you need to be good in the kitchen.  It's on my way to, then she sits me there, she's like watch how I'm going to cook. And then from there I grew interest a lot, but the time I was in class six I could make you like really good pilau. And then for a while I got, I got focused on school. Then when I finished my high school back in 2019, I was just bored in the house, nothing to do. I decided to cook like, I decided to be serious about it. So I took a book, crotch down a few things I needed to start with. Yeah that's just how it began. I had passion, I really wanted to do fashion, but when I told my dad I want to go to a fashion school he said no, you have to go cook first. Yeah. So you've been to school for two years and now you've started your own business, right? I'm still in school. Still in school, okay. See you corrected. So people can find you online, where can people find you online? Let's start there. On Instagram and when do I know, when you're on Instagram, yes. Alright so for being in school and I'm so sure it's not the mandatory for you to just put yourself out there. I've seen I've also worked for other numerous companies, restaurants that is and I've seen also like in a situation whereby you had to reinvent a whole menu that is. I saw that on your buy. So how's that experience for you? It was, it is not, it's not a light thing. To meet a client's perspective of food that they really want and want to enjoy really have to be creative. That's why I say to be a chef is just the same thing as being an artist because as a chef you create a masterpiece and this masterpiece is not something done in a day. It's done after years and years of experimentation through different dynamics of interactions. So when it comes to creating a menu first have to decide where your heart lies. I love Mexican cuisines so much. So when I went to school. What's your one of your favorite Mexican cuisine? I love taco rinds. So when I went to school my teacher told us practical Wednesday we're having a meal. You're preparing a menu for yourself. So when you're given a question you're told prepare a four packs meal for people. In this meal you have to have a starter, a main meal, a dessert and a tea item. And when choosing each has to be of its own flavor but they all have to come together.  If you're having a hot starter then your dessert should be cold. I'm so sure guys back at home you'll get to see this because we'll get visuals, pictures and samples of what she's talking about and I like to find out right. So during this time of COVID-19 the restaurants are not open and so how do you get to offer your services to people that actually love your food? Basically I'm a call away. Freelancing? Yes I'm freelancing. You can or you just place a call and your order depends. I can cook it from my house or I can cook it at your house depending. I charge 450 a plate and if it's more than 10 people I charge a thousand a plate since it's going to be what do we call it? The price is for every kind of meal of just the price. Is it for any kind of meal like I am going to ask for as a client? Okay I've never got clients who want let's say a Mexican meal. All clients I get basically want lunch or party you know. Go to Americanian food. Yeah alright. So maybe we could go through some of your cousins made by Ashley. So what's the name of your I'm so sure that there's a name for the company or something. Abangome. Repeat that again. Abangome. Okay that's the name you go by by social media? Yeah. Okay so maybe you could tell us. This is just at home. I was making breakfast on a Sunday. These are rice balls. These are meat pies. These are omelette bread and these are cheesy, cheesy, cheesy bakes. So how long does it take to make rice balls? How long does it take to make that? 8 minutes. Okay okay. You just make rice and then you make them into balls, beat eggs, put them in eggs, make some crumbs, dip in the crumbs, the pie and that's it. Girl you know your work. Okay so let's look at this. This is batonette squash with bread. This is batonette. Malengue. Yes you just boil it, blend it, add an onion, salt that's it. I would love to try that. I would really love to try that. The fact that you have a show like a live show of just me cooking. Next round we'll definitely do that. So then we have this chicken in batonette. I love nuts. I love the cayenne nuts. Okay it looks really nice. Still when I like to have this for a plate, it still goes for 450. Very affordable, very affordable. Okay so look at the other pictures. Okay then what do we call this looking yummy meal? These are meatballs and spaghetti. Oh why? So simple. This is a kids menu.  You can make some nice spaghetti for them and meatballs. Meatballs are like 10 minutes. So especially during this time where people are just relaxing back at home and you can just venture into different exploring different kind of meals. So maybe you can give us your social media handles and oh I love pie. No this is cinnamon pancakes. Oh sorry. They are very nice. This is cinnamon pancakes with vanilla. I'm already feeling hungry. I'm already feeling hungry I should. Alright so where can you guys spend your social media again? At Muendo and Nehima. My account was hacked. I should have talked to that guy.  So probably you could give your current social account so that people can reach out to you. Sure my account and Instagram is at Muendo and Nehima. Yeah I only have Instagram and WhatsApp. It's understandable. We're all going online. It's all about online right now. Businesses are just going online. So guys back at home make sure you reach out to Nehima Ashley and get all this cuisine at a very much affordable prices considering how yummy they are and I'm already hungry already. So we'll be ending this right now with Aisha. I'm feeling so short right? I don't know what happened there. Sorry Nehima. Anyway it was a very short interview. Next time we'll have a longer conversation pertaining your cuisines and people can reach out to you. Make sure you do so. So right now we'll be heading to the social media conversation where we ask your question and we'll have to find out more about your feedback and what you have to say. So be right back with that.


I'm going to show you how to find and use the snipping tool in your Windows 10 computer. First thing you need to do is bring up what it is you want to take a screenshot of and then go down to the search button, the magnifying glass, and your Windows computer. Type in snipping. You'll see this icon come up. Open that up. This will pop up. Just click the new button. Your crosshairs will show up. You can now drag over what it is you want to make your image of. Let go. Verify that's exactly what you want to see. Go up to the save icon. Rename it. Save it where you want to put it. I always put it to my desktop for easy finding. Click save and you are done. You will find your saved image right there wherever you wanted it saved.  There you go.