Arnoldschwarzenegger

Kokoro is an open-source text-to-speech (TTS) model with 82 million parameters, renowned for its lightweight architecture and high audio quality, while also being fast and cost-effective.

ⓍTTS is a revolutionary voice generation model that achieves cross-lingual voice cloning with just a 6-second audio clip, supporting 17 languages.

F5-TTS is a flow matching-based voice synthesis model, focusing on fluent and faithful voice synthesis, especially suitable for scenarios like fairy tale narration.

BigVGAN is a general-purpose neural vocoder trained at scale, capable of generating high-quality audio waveforms from mel spectrograms.

A SpeechT5 speech synthesis (text-to-speech) model fine-tuned on the LibriTTS dataset, supporting high-quality text-to-speech conversion.

Dia is a 1.6 billion parameter text-to-speech model developed by Nari Labs, capable of generating highly realistic conversations directly from text, supporting emotional and tonal control, and producing non-verbal communication content.

CSM is a 1-billion-parameter voice generation model developed by Sesame, capable of generating RVQ audio encoding from text and audio inputs

Kokoro is an open-weight series of small yet powerful text-to-speech (TTS) models, now featuring data from 100 Chinese speakers sourced from professional datasets.

Indic Parler-TTS is a multilingual extension of Parler-TTS Mini, supporting 21 languages including various Indian languages and English.

Bark is a Transformer-based text-to-audio model created by Suno, capable of generating highly realistic multilingual speech, music, background noise, and simple sound effects.