Topics / #vocoder

Vocoder projects on GitHub

Neural vocoders that synthesize audio waveforms from spectrograms.

As of , the most-starred Vocoder projects on GitHub are TTS (46.1K stars), PaddleSpeech (12.7K stars) and Amphion (10.3K stars). GitHub.Locker tracks 5 Vocoder repositories with 84.8K stars combined. The fastest-growing on October 18 was LuxTTS, with +13 stars in a day.

5Projects
84.8KStars in total
+23Stars in a day

Hot right now

Most stars gained in a day · Oct 18

The all-time top

5 projects · by stars

  1. #1 · coqui-ai/TTS

    TTS

    Coqui TTS is a deep learning toolkit for Text-to-Speech, shipping 1100+ pretrained models plus tools for training, fine-tuning, and curating datasets for new voices.

    46.1K
  2. #2 · PaddlePaddle/PaddleSpeech

    PaddleSpeech

    PaddleSpeech is an open-source speech and audio toolkit built on the PaddlePaddle platform, covering tasks like Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speaker Verification, Speech Translation, Keyword Spotting and Punctuation Restoration. It won the NAACL2022 Best Demo Award.

    12.7K
  3. #3 · open-mmlab/Amphion

    Amphion

    An open-source toolkit for audio, music, and speech generation. It is built to support reproducible research and help junior researchers and engineers get started in the field.

    10.3K
  1. 4

    TTS

    10.2Kmozilla/TTS · Jupyter Notebook

    An open-source deep learning library for text-to-speech: pretrained models, vocoders, a speaker encoder and dataset tools, already used in 20+ languages for products and research.

  2. 5

    LuxTTS

    5.5Kysharma3501/LuxTTS · Python

    LuxTTS is a lightweight text-to-speech model built on the ZipVoice architecture, designed for high-quality voice cloning and fast speech generation.

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