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shivammehta25/README.md

Hello I am Shivam Mehta

I am a Research Scientist at Netflix working with probablistic generative modelling.

🎯 Working at Netflix as Research Scientist.
🎯 I got my PhD @ KTH Royal Insitute of Technology, Stockholm, Sweden supervised by Gustav Eje Henter and Jonas Beskow -> My Thesis
🎯 Fall 2024, I was in Menlo Park, CA as a Research Scientist Intern at Meta.
🎯 Summer 2024 I was in Seattle, WA as a Research Intern at Microsoft Research.
🔭 I work on Speech synthesis with probabilistic generative models
💬 Ask me about: Python, Deep Learning, Machine Learning and Generative modelling
📫 Reach me or read my blog at: https://shivammehta25.github.io/
💬 Open for collaborations and interesting projects!

My recent works:
⚡ MAGI: Multimodal Audio and Gesture, Integrated: https://shivammehta25.github.io/MAGI/
⚡ 🍵 Matcha-TTS: https://shivammehta25.github.io/Matcha-TTS/
⚡ Unified speech and gesture synthesis using flow matching: https://shivammehta25.github.io/Match-TTSG/
⚡ Diff-TTSG: https://shivammehta25.github.io/Diff-TTSG/
⚡ OverFlow: https://shivammehta25.github.io/OverFlow
⚡ Neural HMM TTS: https://shivammehta25.github.io/Neural-HMM

GitHub Stats:


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  1. Matcha-TTS Matcha-TTS Public

    [ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

    Jupyter Notebook 1.3k 194

  2. Neural-HMM Neural-HMM Public

    Neural HMMs are all you need (for high-quality attention-free TTS)

    Jupyter Notebook 165 26

  3. OverFlow OverFlow Public

    Putting flows on top of neural transducers for better TTS

    Jupyter Notebook 64 12

  4. BetterFastSpeech2 BetterFastSpeech2 Public

    Just another FastSpeech 2 but cleaner code :)

    Jupyter Notebook 29 2

  5. coqui-ai/TTS coqui-ai/TTS Public

    🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

    Python 45.1k 6k

  6. Diff-TTSG Diff-TTSG Public

    Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis

    Python 40 4