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# Malay-TTS-Osman |
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All notebooks and code related at https://github.com/huseinzol05/malaya-speech/tree/master/data/azure-tts |
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## Attributes |
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### Wiki and News |
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- 24000 sample rate, super clean. |
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- narrator `ms-MY-OsmanNeural`. |
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- approximate 94.5 hours |
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- Texts from Malay Wikipedia and News. |
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- Sentences between 2 words and 20 words. |
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### Parliament |
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- 24000 sample rate, super clean. |
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- narrator `ms-MY-OsmanNeural`. |
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- approximate 133.2 hours. |
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- Texts from Malaysia Malay Parliament. |
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- Sentences between 2 words and 25 words. |
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## how-to |
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### Wiki and News |
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1. Download [populated-text.json](populated-text.json) and [tts-malay-osman.tar.gz](tts-malay-osman.tar.gz). |
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2. To get wav and transcript, |
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```python |
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import json |
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import soundfile as sf |
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with open('populated-text.json') as fopen: |
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texts = json.load(fopen) |
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index = 0 |
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text = texts[index] |
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y, sr = sf.read(f'male/{index}.wav') |
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``` |
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### Parliament |
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1. Download [populated-parliament.json](populated-parliament.json) and [tts-malay-osman-parliament.tar.gz](tts-malay-osman-parliament.tar.gz). |
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2. To get wav and transcript, |
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```python |
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import json |
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import soundfile as sf |
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with open('populated-parliament.json') as fopen: |
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texts = json.load(fopen) |
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index = 0 |
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text = texts[index] |
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y, sr = sf.read(f'male-parliament/{index}.wav') |
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``` |