Topics / #tts-model

TTS model projects on GitHub

Neural text-to-speech models synthesizing natural speech from text.

As of , the most-starred TTS model projects on GitHub are TTS (46.1K stars), VoxCPM (39.6K stars) and chatterbox (27.1K stars). GitHub.Locker tracks 5 TTS model repositories with 153.1K stars combined. The fastest-growing on October 19 was VoxCPM, with +46 stars in a day.

5Projects
153.1KStars in total
+136Stars in a day

Hot right now

Most stars gained in a day · Oct 19

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 · OpenBMB/VoxCPM

    VoxCPM

    VoxCPM is a tokenizer-free Text-to-Speech system that directly generates continuous speech representations through an end-to-end diffusion autoregressive architecture, skipping discrete tokenization for more natural, expressive speech. VoxCPM2 is the latest 2B-parameter release trained on 2M+ hours of multilingual audio.

    39.6K
  3. #3 · resemble-ai/chatterbox

    chatterbox

    Chatterbox is a family of state-of-the-art, open-source text-to-speech (TTS) models from Resemble AI, including multilingual and low-latency voice-agent variants.

    27.1K
  1. 4

    CosyVoice

    24.1KQwenAudio/CosyVoice · Python

    CosyVoice is Alibaba's open-source, LLM-based text-to-speech system. It generates natural speech in 9 languages plus 18+ Chinese dialects, supports zero-shot voice cloning, and ships inference, training and deployment code.

  2. 5

    KittenTTS

    16.2KKittenML/KittenTTS · Python

    Kitten TTS is an open-source, lightweight text-to-speech library built on ONNX that converts text into natural-sounding speech using tiny 15M-80M parameter models, running entirely on CPU.

Often tagged together