coqui-ai/TTS
TTS
这是一个深度学习文本转语音工具包，用于训练和部署神经语音合成模型。它提供了一个完整的框架，用于将书面文本转换为口语音频，利用神经声码器将合成的频谱图转换为高保真音频波形。
该工具包包括一个语音克隆系统，通过从短音频样本中提取说话人嵌入来复制特定的人声。它还支持多说话人音频合成，允许使用专门的模型架构生成不同声线身份的语音。
该系统涵盖了完整的语音合成流水线，包括语音数据集整理工具、带有性能跟踪的模型自定义训练，以及用于音频生成的命令行界面。对于网络访问，它提供了一个自托管的 HTTP 服务器，将语音合成模型部署为 API。
Features
- Neural Text-to-Speech Engines - Offers a comprehensive deep learning toolkit for training and deploying neural text-to-speech engines.
- Text-to-Speech - Provides a comprehensive framework for synthesizing high-fidelity human speech from text input using deep learning.
- Custom Model Training - Provides a framework for developing and training custom speech synthesis models with performance tracking.
- Phonetic Text Analysis - Implements neural processing to transform written text into linguistic representations before acoustic feature generation.
- Speech Model Fine-Tuning - Includes a framework for fine-tuning and training custom speech models with integrated logging.
- Multi-Speaker Synthesis - Utilizes specialized model weights and speaker IDs to support diverse vocal identities within a single network.
- Speaker Embeddings - Extracts speaker embeddings from audio samples to condition the synthesis model on specific vocal characteristics.
- Voice Cloning - Replicates specific human voices by extracting speaker embeddings from short audio samples.
- Neural Vocoders - Includes neural vocoders that transform synthesized spectrograms into high-fidelity time-domain audio waveforms.
- Web-Based Model Deployment - Provides a self-hosted HTTP server to deploy speech synthesis models as a network-accessible API.
- Curation Utilities - Includes tools for preparing and cleaning text-to-speech datasets to ensure high quality for model training.
- Dataset Curation Tools - Provides tools to prepare and clean text-to-speech datasets to ensure high quality for model training.
- Synthesis API Endpoints - Runs pre-trained synthesis models as an HTTP server to provide audio generation over a network.
- Self-Hosted Synthesis Servers - Provides a self-hosted HTTP server to deploy speech synthesis models as an API.
- Voice Identity Conversions - Enables matching the vocal characteristics of source audio files to target speaker identities.
- CLI Speech Generators - Ships a command-line interface for generating audio files from text using pre-trained speech models.
- Acoustic Model Pipelines - Implements a two-stage pipeline that renders text into spectrograms before passing them to a vocoder.
- Generative Media Tools - Deep learning toolkit for text-to-speech.
- Acoustic User Interface - Deep learning toolkit for text-to-speech generation.
- 声学用户界面 - 用于文本转语音（TTS）生产的深度学习工具包。
- Media and Communication - Deep learning toolkit for text-to-speech.
- Text To Speech - Deep learning toolkit for research and production speech synthesis.
