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shivammehta25/README.md

Hello I am Shivam Mehta

I am a Researcher in Department of Speech Music and Hearing at KTH Royal Institute of Technology!

🎯 Currently, I am 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 796 100

  2. Neural-HMM Neural-HMM Public

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

    Jupyter Notebook 157 24

  3. OverFlow OverFlow Public

    Putting flows on top of neural transducers for better TTS

    Jupyter Notebook 63 10

  4. BetterFastSpeech2 BetterFastSpeech2 Public

    Just another FastSpeech 2 but cleaner code :)

    Jupyter Notebook 25 2

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

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

    Python 36.4k 4.5k

  6. Diff-TTSG Diff-TTSG Public

    Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis

    Python 39 2