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AI Voice Model Library

Some voice models focus on language coverage, others on emotional performance or local deployment. Explore the official research, concrete strengths, version differences, and ways to get started.

Model guideXiaomi · k2-fsa project

OmniVoice

Broad language coverage with short-reference cloning

Xiaomi's open-source TTS spans 600+ languages, clones from short recordings, and adds voice attributes, duration control, and pronunciation correction.

  • 600+ languages
  • Short-reference cloning
  • Pronunciation and duration
Read the model guide
Model guideBilibili · IndexTTS team

IndexTTS 1.5

Chinese/English cloning with targeted pronunciation correction

A stability-focused 1.x release with improved English and mixed Chinese-character/pinyin input, useful when narration needs predictable pronunciation.

  • Chinese and English
  • Pinyin correction
  • Stability improvements
Read the model guide
Model guideBilibili · IndexTTS team

IndexTTS 2

Keep the speaker; change the emotional performance

Keep a character's timbre while borrowing emotion from another clip, setting eight emotion intensities, or describing the desired feeling in text.

  • Timbre/emotion separation
  • Emotion reference audio
  • Text-based emotion
Read the model guide
Model guideModelBest · Tsinghua University THUHCSI

VoxCPM

Continuous speech, contextual delivery, and detailed audio

Generate continuous speech representations without discrete audio tokens: 1.5 offers 44.1 kHz Chinese/English cloning; version 2 adds 30 languages and 48 kHz.

  • Tokenizer-free
  • Context-aware delivery
  • Version 1.5 / 2 guide
Read the model guide

DS Speech currently provides Qwen-Audio-3.0-TTS online. Other models in this library are documented for learning and self-deployment.