Aaquila Mariajohn
Audio AI DSP Intern at Samsung Electronics
Audio AI DSP Intern at Samsung Research America's Audio Lab
I'm a graduate in MS (thesis) in Electrical Engineering (Signal Processing) from Arizona State University, fascinated about speech and audio algorithms with a background in Signal Processing, Speech & Audio Signal Processing, Adaptive Signal Processing, Machine Learning, Natural Language Processing, Deep Learning, Speech recognition, DSP. 

Programming: Python, C/C++, MATLAB, assembly coding, SQL, Agave clusters, GCP
Libraries: Keras, Tensorflow, Pytorch, Scikit-learn, NLTK, Pandas, Numpy
Skills: Few shot learning, Adaptive filters, algorithms, Speech processing, Audio processing, Machine Learning, Deep Learning, NLP, Digital Signal Processing, Time-frequency representations, Adaptive Noise Cancellation, Acoustic modeling for speech recognition, Adaptive beamforming spectral estimators like MuSiC, MVDR, beamscan, ESPRIT, Data structures and algorithms
Samsung Electronics
https://www.linkedin.com/company/samsung-electronics
Samsung Research America's DMS - Audio lab, LA
- Working on algorithm implementation, research, and evaluation for Direction of Arrival estimation(using spectral analysis methods and others), adaptive equalization using FIR NLMS, Block NLMS, FDAF algorithms.
Los Angeles, California, United States
https://media-exp1.licdn.com/dms/image/C560BAQEiexDt2WV9qg/company-logo_100_100/0/1603708147443?e=1655942400&v=beta&t=GejAY-mTslTM9-P3ts0r1SEIJ7HsFDfQ4llc3XZAsRs
Audio AI DSP Intern
Stealth Mode
https://www.linkedin.com/company/stealthmode14
- Working on research & implementation for bird vocalization problem with speech & audio processing with deep learning
- Involved previously with the feature extraction, model research and Voice Activity Detector for a large audio data set
- Designed & implemented Vocal Activity Detector for bird voice that increased accuracy level of the baseline model by 30%
- Deployed model inference pipeline with flask API for a PANN based model pre-trained with audioset for audio event detection
Remote
https://media-exp1.licdn.com/dms/image/C4D0BAQE0rsd2g6jl7A/company-logo_100_100/0/1519910334733?e=1655942400&v=beta&t=SQqrhiVIbK422t6v4W-9I0LKm_JTPWL1nmpaE3ukdiE
Audio signal processing Intern
Ira A. Fulton Schools of Engineering at Arizona State University
https://www.linkedin.com/company/ira-a.-fulton-schools-of-engineering-at-arizona-state-university
-	Tutored students in Electrical Engineering coursework including lab assignments, projects, and MATLAB
-	Collaborated with other tutors to plan possible student concerns, actions, and resources
-	Assisted in maintenance of the center premises, resource inventory and providing customer service to students
Tempe, Arizona
https://media-exp1.licdn.com/dms/image/C4E0BAQHGiYb0DHKo8g/company-logo_100_100/0/1519866662070?e=1655942400&v=beta&t=VtXB8rTNeye0k8avsIJsgOtA5IS18knhvEAGlpNVPsc
Student Tutor
Ira A. Fulton Schools of Engineering at Arizona State University
https://www.linkedin.com/company/ira-a.-fulton-schools-of-engineering-at-arizona-state-university
-Graded the weekly lab evaluations for the course: Communication Systems and helped with score updates
Tempe, AZ, US
https://media-exp1.licdn.com/dms/image/C4E0BAQHGiYb0DHKo8g/company-logo_100_100/0/1519866662070?e=1655942400&v=beta&t=VtXB8rTNeye0k8avsIJsgOtA5IS18knhvEAGlpNVPsc
Lab grader for communications systems course
Ira A. Fulton Schools of Engineering at Arizona State University
https://www.linkedin.com/company/ira-a.-fulton-schools-of-engineering-at-arizona-state-university
- Grader for the course Digital Design Fundamentals
- Included weekly handling of assignments, corrections, scores, etc
Tempe, AZ
https://media-exp1.licdn.com/dms/image/C4E0BAQHGiYb0DHKo8g/company-logo_100_100/0/1519866662070?e=1655942400&v=beta&t=VtXB8rTNeye0k8avsIJsgOtA5IS18knhvEAGlpNVPsc
Student Grader
Real Time Signals Technologies
https://www.linkedin.com/company/real-time-signals
-	Worked with team on signal processing algorithms like adaptive noise cancellation, sampling, upsampling, transforms, etc
-	Developed tumor detection algorithm on the MRI images of the liver using image processing techniques
-	Implemented  OCR of handwritten digits on the MNIST dataset
Bengaluru, Karnataka
https://media-exp1.licdn.com/dms/image/C4D0BAQH9z0pfXYmzCA/company-logo_100_100/0/1519922042686?e=1655942400&v=beta&t=m2PwCpJ23tzJPyeRY3-i9gTcGO7yiuzRV3-fTf4IUSc
Signal Processing Trainee
KIOCL
Familiarization of the working of iron ore plant and instrumentation involved
Mangalore Area, India
Trainee
Master's degree
- Specialized in Signal Processing with a focus on Speech/audio algorithms, machine learning
- Thesis project: Robust experimental design for speech analysis applications for unbalanced data
Electrical Engineering
https://media-exp1.licdn.com/dms/image/C4E0BAQHGiYb0DHKo8g/company-logo_100_100/0/1519866662070?e=1655942400&v=beta&t=VtXB8rTNeye0k8avsIJsgOtA5IS18knhvEAGlpNVPsc
Ira A. Fulton Schools of Engineering at Arizona State University
https://www.linkedin.com/school/ira-a.-fulton-schools-of-engineering-at-arizona-state-university/
Bachelor of Technology (B.Tech.)
Electronics Engineering - Design and Manufacture
Indian Institute of Information Technology,Kancheepuram
High school level
Science
Sarvodaya Central Vidyalaya, Trivandrum
Adaptive Signal Processing
EEE 606
Communication Systems (Fall '17)
EEE 455/591
Computational Imaging and pattern recognition
EEE 598
Computer architecture
CSE 520
Digital Signal Processing (Fall '17)
EEE 407/591
Digital Spectral Analysis (Spring '18)
EEE 506
Real Time Digital Signal Processors (Spring '18)
EEE 404/591
Speech & Audio Signal Processing
EEE 598
Statistical Machine Learning
EEE 598
Time Frequency Signal Processing (Fall '17)
EEE 505
VLSI architecture (spring '18)
EEE 526
C programming
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Control Systems
-
PCB Design & Prototype
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VLSI Design
-
Deep Learning
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Machine Learning
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Natural Language Processing
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o	Used MFCC vs Spectrogram as the acoustic features for the phoneme recognition stage on the LibriSpeech dataset
o	Designed the models with Connectionist Temporal Classification (CTC) layer to avoid sequencing issues
End-to-end Automatic Speech Recognition using Deep Neural Networks
o	Modelled by  sequence-to-sequence based encoder-decoder RNN architecture with word embeddings
o	Achieved an accuracy of 73 % on the dataset(subset) of WMT
Machine translation of English sentences to French
o      With universal tag set on the Brown corpus(from NLTK library)                                                                                      
o	Most Frequent Class Tagger (MFCT) – achieved an accuracy of 93.01 %
o	Hidden Markov Model (HMM) tagger - used bigram counters to form the emission and transition probabilities – achieved an accuracy of 95.95%
Part of speech tagging
o      Dataset used: GTZAN Genre Collection
o	Implemented the classification using DNN, CNN, LSTM & Resnet -18 for improvement in accuracy level to 90%
o	Features used: MFCC, delta and double delta coefficients of the music signals
Music Genre Classification using deep learning techniques
o	Used Bag of words approach to process the data, scikit-learn to implement the Naïve Bayes classifier
o	Dataset used: UCI’s SMS spam collection, Achieved:  accuracy – 98.85%, precision – 97.2%, recall – 94.05%, F1 score – 95.6%
Spam classification on text messages
-	Designed process to estimate sample size when the training data is scarce and imbalanced, using non-parametric divergence measure
-	Showed improvement on speech-based age classification problem with imbalanced data using SVM
-	Analyzed the design process for two sampling methods (Multistage & Stratified), different features (mfcc & filter-bank coefficients), different levels of strata & different sentence composition in samples on the TIMIT dataset
Robust experimental design for speech analysis applications (Master's Thesis)
1.	Linear regression (using gradient descent algorithm) with single input feature to predict the profit possible based on data of population vs. profit
2.	Linear regression with multiple variables to predict the price of houses using gradient descent and normal equation
3.	Prediction of admission results to university based on 2 test scores using logistic regression
4.	Prediction of quality of microchips from a fabrication plant for quality assurance using regularized logistic regression based on two different test results 
5.	Recognition of handwritten digits (0-9) using one vs all logistic regression and neural networks using the backpropagation algorithm to learn the parameters
Machine learning projects
o	Features detected – Note Onset, Duo/mono pitch, tempo, rhythm, similarity score
o	Used semitone band spectrum, note spectrum to pre-process the signal for onset & pitch detection
o	Implemented onset detection using time-frequency based spectrogram to form the novelty curve
Violin Music Feature detection for learning purposes
1.	Least Mean Square (LMS) algorithm for system identification (SID) of an unknown system and evaluated its performance (convergence, error) for various filter order, step size, iterations and type of excitation (white or colored noise)
2.	Linear prediction as an inverse filter and evaluated its performance for various filter order and sample number
3.	Levinson Durbin algorithm for speech signal
4.	IIR equation error model for LMS sequential adaptive SID
5.	Block LMS (BLMS) algorithm for SID & evaluated its performance (convergence speed & Normalized error energy(NEE)) for various step sizes, filter order L, block size N, overlapping samples S and white and colored noise as input
6.	Frequency Domain Adaptive Filter (FDAF) algorithm for SID & evaluated its performance (convergence speed & NEE) for various step sizes, L, N, S and white and colored noise as input
7.	Adaptive noise cancellation for a noisy speech signal using NLMS FIR and IIR models and evaluated its performance for various step sizes, iterations, and filter order
8.	Adaptive echo cancellation for hearing aids using NLMS
Adaptive Signal Processing (implemented in MATLAB)
1.	Camera calibration algorithm to find intrinsic and extrinsic matrices
2.	Implemented an algorithm to find the Harris corners
3.	Built an algorithm to extract the sift features
4.	Image stitching algorithm of 3 different images taken by a panning camera into a mosaic using SIFT features and RANSAC
Computer vision projects	(implemented with python)
1.	Algorithm to differentiate between speech & music signals through a similarity score based on various features
2.	Diadochokinetic (DDK) rate testing algorithm for alternating phonetic sounds, using autocorrelation of the speech signals
3.	Mel-Frequency Cepstral Coefficients (MFCC) feature extraction algorithm from scratch 
        - Designed the filter bank using 40 different uniform (frequency) triangular filters across the bark frequency scale
        - Implemented a keyword speech recognizer using 39 features consisting of MFCC, delta, and double delta coefficients
4.	Audio compression & reconstruction algorithm
       - Used MPEG - 1 psychoacoustic model -1 implemented on the Power Spectral Density of the audio signal in Sound Pressure Level, with global as well as individual thresholds on the tonal and noise markers, reducing the frequency components thereby
Speech & Audio signal processing projects	(implemented in MATLAB)
- Parallelized the algorithm using Hogwilds parallel algorithm for latency improvement for the architecture implementation
- The error rate of the parallelized algorithm was improved by asynchronous communication between different cores 
- Developed and implemented the algorithm in MATLAB
Algorithm and architecture design for Wavelet based Compressive Sensing using Gibbs Sampling
-Evaluated spectral estimators like beamscan, MVDR, MuSiC, ESPRIT for an 8 antenna array setup and for multiple tones
-Simulated in MATLAB
-For both time and space signal for antenna arrays
Evaluation of adaptive beam forming spectral estimators
1.	Real-time Implementation of simple loopback, echo and low pass FIR digital filters	  
o	Using DSP56858EVM CODEC, external and internal interrupts
o	Used a combination of C, hybrid, and assembly to code the different parts
o	Implemented both floating-point and fixed-point implementation for echo and fixed point for low pass filter
2.	Real-time implementation of Image processing algorithms on live video stream captured from webcam                               
o	Used both C and assembly programming to implement algorithms for histogram equalization, segmentation (global, band and semi thresholding), gray-level quantization and different transformation methods
o	Live video was displayed on the PC and interfacing to kit was done through the Serial Communication Interface using MATLAB and Processor Expert to enable AsynchroSerial bean 
o	Implemented on Freescale’s DSP56858EVM kit with CodeWarrior
3.	Real-time implementation of musical note synthesis using Lookup table method			             
o	Implemented on TI TMS320C55x using C, assembly coding with code composer studio
o	Used both round down and linear interpolation methods
o	In linear interpolation: Each tone was modeled exponentially in separate stages of Attack, Decay, Sustain and Release (ADSR) envelopes, each of these stages were implemented using an IIR filter
o	Generated a small portion of one of Beethoven’s Symphonies
4.	Real-time implementation of FFT and its applications using both DFT and DIT algorithms		             
o	Implemented using both floating-point and fixed-point representations in TI TMS320C55x
o	Implemented a real-time spectrum analyzer with the help of function generator and Scope
o	Implemented a pitch estimation algorithm for voiced speech segment from its autocorrelation
Real Time DSP projects
-	Designed and implemented transmitter and receiver blocks in MATLAB and GNU radio
-	Utilized Hanning code to compare performance with uncoded systems
-	Accomplished for various modulation schemes like BPSK, QPSK, 16QAM, and OFDM
Implementation of communication system in MATLAB
-	Researched on various Time-Frequency methods available
-	Applied spectrogram based method and compared with energy based method                           
-	Implemented the algorithm in MATLAB using Time-Frequency toolbox
-	Detected onset time for violin(string) and drums(percussion) music signal
-	Analyzed the variations due to different parameters like compression factor, threshold, window length
Onset time detection in music signals using Time-Frequency Representations
-	Studied basic speech signal properties, including formants, and clustering 
-	Implemented in MATLAB
-	Employed Linear Predictive Coding for estimating Weiner filter coefficients and k-means clustering technique
Speech signal formant estimation and clustering                                                                                                                         November 2017
-	Used binary hypothesis test to model the detection problem
-	Analyzed the performance of 3 different algorithms based on the parameters - probability of detection and probability of false alarm
-	Simulated the AWGN channel and compared the different algorithms in MATLAB
-	Parameterized performance and concluded the results using threshold levels
Sequential spectrum sensing algorithms for cognitive radio
-	Designed and implemented using Tiva launch pad kit (tm4c123gh6pm)
-	Printed the product on circuit board and soldered all the units
-	Implemented a basic oscilloscope using Processing IDE
-	Integrated various function generator circuits like the sine, square
-	Integrated various sensors like IR, thermistor, temperature sensor
Beginners Electronics Kit – a cost effective alternative to NI Elvis
-	Utilized Arm 7 based microcontroller (LPC 2148) 
-	Part of the main board team assigned PIN functionalities and designed the printed circuit board layout 
-	As a team collaborated and integrated various team’s circuit boards like DAC, ADC, Power, LCD interfacing
-	PCB designed with Design Spark
Design of general purpose development board(Group project)
Education
Arizona State University Graduate and Professional Student Association (ASU GPSA)
https://www.linkedin.com/company/asu-gpsa
-Assisted GPSA review and score travel grant applicants, analyzed each applicants purpose, service, and budget requirements
-Reviewed around 13 applications for university funding
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Travel Grant reviewer
Education
Arizona State University Graduate and Professional Student Association (ASU GPSA)
https://www.linkedin.com/company/asu-gpsa
- Reviewed research grants applicants, analyzed the research or project objective, methodology, requirements, benefits
- Evaluated four applications per semester, aided in the allocation of around $2982
https://media-exp1.licdn.com/dms/image/C4D0BAQFbU0CrWSZ9ZA/company-logo_100_100/0/1519889058078?e=1655942400&v=beta&t=vR7Na1KFXI98owN5-2gj5DGqEuOcCJmjqlJMYWoK6CM
GPSA Research grant reviewer
Arts and Culture
ASU ISA
Assisted Indian Students Association (ISA) in organizing and conducting various cultural and community involvement activities and events
Volunteer
Social Services
Social Service Group
-Involved in weekly teaching activities for the economically backward neighboring middle school children
-Part of beach cleaning team
-Also helped the local community organize polio drop vaccination event in the locality
Volunteer
LinkedIn
www.linkedin.com
Building and Deploying Deep Learning Applications with TensorFlow
http://www.linkedin.com/learning/building-and-deploying-deep-learning-applications-with-tensorflow
Coursera
Neural Networks and Deep Learning
LinkedIn
www.linkedin.com
The Six Morning Habits of High Performers
http://www.linkedin.com/learning/the-six-morning-habits-of-high-performers
Udacity
Natural Language Processing
Coursera
Machine Learning
https://www.linkedin.com/in/yuan-li-b40525112
Stanford, CA
Yuan Li
DSP engineer at Samsung Research America’s Audio Lab; Majored in Music Science Technology at CCRMA, Stanford
https://www.linkedin.com/in/hemanth-gangaraju-b53b88118
Tempe, AZ
Hemanth Gangaraju
VLSI - Physical Design Engineer | Physical Verification
https://www.linkedin.com/in/kanishktanotra
Tempe, AZ
Kanishk Tanotra
MS CS at Arizona State University • Actively Seeking Internship Opportunities for Summer 22'
https://www.linkedin.com/in/adityaudayagiri
Tempe, AZ
Aditya Chakravarthy Udayagiri
Graduate Student at Arizona State University
https://www.linkedin.com/in/danmohd
Mountain View, CA
Mohammed Danish
Acoustics Machine Learning Engineer @ Apple
https://www.linkedin.com/in/mohitsai
Tempe, AZ
Mohit sai Gundapaneni
Graduate Student in Computer Engineering(Electrical Engineering) and Graduate Teaching Assistant at ASU Actively Seeking Internship oppurtunities from spring 2022 in Digital Design | Design Verification | Physical Design
https://www.linkedin.com/in/adarshakkshai
Tempe, AZ
Adarsh Venkataramani
PhD student at Arizona State University
https://www.linkedin.com/in/advaithalenkrith
Arizona, United States
Advaith Alenkrith Pagidipally
Student at ASU | Data Science & AI | Web Developer | Article Writer | Tutor | IIT GOA | Ex Software Developer at Frugal Testing | Ex Tutor at Chegg
https://www.linkedin.com/in/vsttalluri
Tempe, AZ
Talluri Venkata sai teja
Masters in Electrical Engineering at ASU
https://www.linkedin.com/in/nihanth-balumuri-59493a1b2
Tempe, AZ
NIHANTH BALUMURI
Master's student at ASU in electrical engineering
https://www.linkedin.com/in/naga-samhitha-devarakonda-27aa61209
Tempe, AZ
Naga Samhitha Devarakonda
Graduate Teaching Assistant at Arizona State University| Actively seeking Co-ops for Fall 2022
https://www.linkedin.com/in/dhrumil-modi-6a8658154
Tempe, AZ
Dhrumil Modi
Electrical and Electronics Physics Lab Teaching Assistant
https://www.linkedin.com/in/khushbuvadodariya
Tempe, AZ
Khushbu Vadodariya
Graduate Circuit Design Intern at Intel
https://www.linkedin.com/in/smitpatel55
Tempe, AZ
Smit Patel
Masters in Electrical Engineering(Electric Power and Energy Systems) at Arizona State University
https://www.linkedin.com/in/gowthamarumulla
Tempe, AZ
Gowtham Reddy Arumulla
CPU Core Design Intern at Intel Corporation | Graduate Student at ASU | MSE Electrical Engineering | Electronic & Mixed Signal Circuit Design
https://www.linkedin.com/in/anuj-gundani-271b1b186
Tempe, AZ
Anuj Gundani
Masters in Electrical Engineering (VLSI) - Arizona State University| Physical Design | Static Timing Analysis | Verification | Looking for Summer'22 Internships.
https://www.linkedin.com/in/lijunlin
San Francisco Bay Area
Junlin Li
ByteDance - We are hiring (full-time and intern)!
https://www.linkedin.com/in/balajicl
Tempe, AZ
Balaji Chikkanayakanahalli Lavakumar
Graduate Student in Electrical Engineering | Actively looking for Summer 2022 Internship | Teaching Assistant at ASU | Ex- NTT Data Employee
https://www.linkedin.com/in/manasa-manda
Tempe, AZ
Manasa Manda
Graduate Teaching Assistant at Arizona State University|Actively seeking internships for summer'22
https://www.linkedin.com/in/sai-sankar-vadde-064b5810b
Tempe, AZ
Sai Sankar Vadde
Incoming SDE at Amazon in the Summer’22 | GSA at Arizona State University | MCS at ASU | Ex- Wipro | NIT Calicut
MPAI Group (Moving Picture, Audio and Data Coding by Artificial Intelligence)
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https://www.linkedin.com/groups/13949076
IEEE Signal Processing Society
https://media-exp1.licdn.com/dms/image/C4E07AQFz3QeNIB611g/group-logo_image-shrink_200x200/0/1631381478296?e=1647694800&v=beta&t=yrAVO2NIB5NkOjMthNi1SHahVtUiFqRDUsUC5z2hX6c
https://www.linkedin.com/groups/121154
Microsoft University Recruiting Team
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https://www.linkedin.com/groups/12125564
Audio Engineering Society
https://media-exp1.licdn.com/dms/image/C4D07AQH3il5QiJDr4w/group-logo_image-shrink_200x200/0/1631371674417?e=1647694800&v=beta&t=doq70rLbYP_R9Hb9DLzVspUBjnzMw41Z8pMSeHfq234
https://www.linkedin.com/groups/71239
MATLAB Users and Integrators
https://media-exp1.licdn.com/dms/image/C4D07AQFYKGjxVX3ZuA/group-logo_image-shrink_92x92/0/1634633513887?e=1647694800&v=beta&t=l2BviLEh7y67Yja6EaKzBPqFU10g7bPLLYHgnUhFfJ8
https://www.linkedin.com/groups/134533
Signal Processing
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https://www.linkedin.com/groups/1908436
Deep Learning
https://static-exp1.licdn.com/sc/h/4h1ldzvvebtszyx75ve7dst1v
https://www.linkedin.com/groups/5177668
Natural Language Processing
https://static-exp1.licdn.com/sc/h/4h1ldzvvebtszyx75ve7dst1v
https://www.linkedin.com/groups/125258
ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing
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https://www.linkedin.com/groups/4132080
Algorithms (O)
https://static-exp1.licdn.com/sc/h/4h1ldzvvebtszyx75ve7dst1v
https://www.linkedin.com/groups/1920463
Deep Learning, AI, Machine Learning & Machine Intelligence #reworkDL
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https://www.linkedin.com/groups/8288685
Natural Language Processing People
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https://www.linkedin.com/groups/131222
Arizona State University .
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https://www.linkedin.com/groups/70231
Speech Enhancement
https://media-exp1.licdn.com/dms/image/C5607AQGuNDXnBmtSRw/group-logo_image-shrink_200x200/0/1631401935220?e=1647694800&v=beta&t=IXpT5_-I4b_whtrZitMKih8-Y1yQk2P4yJqsD-RCt7s
https://www.linkedin.com/groups/1915211