首页 > AI音乐 > IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

官网

IndexTTS: The cutting-edge zero-shot text-to-speech system for improved pronunciation and sound quality.

★★★★ (0 评价)

更新时间:2025-03-02 19:01:06

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System的信息

什么是IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

IndexTTS是一种基于GPT风格的先进文本到语音(TTS)模型,结合了XTTS和Tortoise技术,主要应用于中文发音修正和语音合成。该系统支持通过拼音快速修正中文字符的发音,并能通过标点符号精确控制停顿。IndexTTS利用了混合建模方法,结合了Conformer编码器和基于BigVGAN2的语音解码器,优化了声音的音色相似性和音质。经过数万个小时的数据训练,IndexTTS在各类语音合成任务中表现出色,超越了XTTS、CosyVoice2等当前流行的TTS系统。

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System怎么用?

使用IndexTTS时,用户可以通过提供包含中文、英文等文本的输入,模型会自动进行发音修正和语音合成。对于中文语音合成,IndexTTS会根据拼音信息纠正发音并精准控制语音中的停顿。用户可以通过模型提供的API接口或Web演示来体验语音生成的效果。对于开发者来说,IndexTTS的开放源代码和测试集也可以帮助进行进一步的优化和实验。

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System核心功能

  • IndexTTS的核心功能:
  • 中文拼音混合建模,快速纠正中文字符的发音
  • 引入Conformer编码器和BigVGAN2解码器,提升语音合成的稳定性和音质
  • 支持零样本语音克隆,生成高质量的语音
  • 提供多个语音测试集,包括多音节词、主观和客观测试集

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System使用案例

  • IndexTTS的使用案例:
  • 企业级中文语音合成,提升客服和语音助手的语音质量
  • 学习工具中的中文发音修正,帮助学习者正确发音
  • 开发用于语音克隆和音频增强的应用,如个性化语音合成
  • 支持多语种的跨语言语音合成,增强多语言语音系统的能力

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System价格

IndexTTS的价格暂未公开,预计在未来几周内将发布完整的模型参数和代码供开发者使用。具体定价可能会根据功能和应用场景的不同而有所变化。

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System公司名称

IndexTTS由团队开发,核心人员包括Wei Deng、Siyi Zhou、Jingchen Shu、Jinchao Wang和Lu Wang。

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System联系方式

联系方式:[[email protected]](mailto:[email protected])

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System社交媒体

IndexTTS的社交媒体:Twitter: @index_tts,Instagram: @index_tts

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System评价

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System替代品

AI TTS Stream Companion for Twitch & YouTube

A customizable AI companion for Twitch and YouTube streams, allowing for unique personalities and text-to-speech interactions.

TikTok Voice Generator

A free online tool that generates various AI voices for TikTok, including character voices, language accents, and more.

kokoro-onnx: TTS with kokoro and onnx runtime

kokoro-onnx is a lightweight Text-to-Speech (TTS) system based on the Kokoro model and ONNX runtime, offering fast, high-quality speech synthesis with multiple voices and languages. It’s optimized for macOS M1 devices and provides easy setup.

Kokoro TTS

Kokoro TTS is a cutting-edge AI text-to-speech model with 82 million parameters, delivering high-quality, multilingual, and natural-sounding speech synthesis. Perfect for creating audiobooks, podcasts, and more.

HKUSTAudio/Llasa-1B

LLaSA是一种基于LLaMA模型的文本到语音(TTS)合成系统,结合了XCodec2语音编码器,支持从文本或语音提示生成语音,已在25万个小时的中英双语数据集上训练。

LLaSA: Scaling Train-time and Test-time Compute for LLaMA-based Speech Synthesis

LLaSA is an advanced system designed to scale both training and inference for LLaMA-based speech synthesis. It optimizes computational efficiency, leveraging large-scale datasets and cutting-edge machine learning frameworks to enhance text-to-speech performance.

Zonos-v0.1

Zonos-v0.1 is an advanced text-to-speech model with multilingual support, offering high-quality voice cloning and speech generation with detailed control over emotions, pitch, and speaking style.

Zonos TTS: Advanced Multilingual Text-to-Speech Free

Zonos TTS is a high-quality text-to-speech tool offering multilingual support, voice cloning, and emotion control for lifelike speech synthesis. Perfect for personalized voice generation and multilingual applications.

IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System对比