Project Title

TTS — Deep Learning for Advanced Text-to-Speech Generation

Overview

TTS is an open-source library designed for state-of-the-art Text-to-Speech (TTS) generation, leveraging the latest research to achieve a balance between ease-of-training, speed, and quality. It offers pretrained models and tools for dataset quality measurement, supporting over 20 languages in various products and research projects.

Key Features

High-performance Deep Learning models for Text2Speech tasks, including Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech) and Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN).
Speaker Encoder for efficient computation of speaker embeddings.
Pretrained models and tools for measuring dataset quality.

Use Cases

Researchers and developers using TTS for creating applications in over 20 languages, enhancing accessibility and user experience.
Utilized in products and research projects to generate natural-sounding speech from text inputs.
Educational tools for language learning, where accurate pronunciation is crucial.

Advantages

Supports a wide range of languages, making it versatile for global applications.
Built on the latest research, ensuring cutting-edge performance in TTS generation.
Open-source community support and active development, leading to continuous improvements and updates.

Limitations / Considerations

The project's complexity might require a steep learning curve for new users.
Performance may vary depending on the specific model and dataset used, requiring fine-tuning for optimal results.

WaveNet: A deep neural network for generating raw audio waveforms, known for high-quality audio but with higher computational requirements.
LibriTTS: A dataset for Text-to-Speech, focused on English language and providing a large corpus for training TTS models.
ESPnet: An end-to-end speech processing toolkit, which includes capabilities for TTS and other speech-related tasks, offering a more comprehensive toolkit at the cost of complexity.

Basic Information

GitHub: https://github.com/mozilla/TTS
Stars: 10,009
License: Unknown
Last Commit: 2025-09-23

📊 Project Information

Project Name: TTS
GitHub URL: https://github.com/mozilla/TTS
Programming Language: Jupyter Notebook
⭐ Stars: 10,009
🍴 Forks: 1,313
📅 Created: 2018-01-23
🔄 Last Updated: 2025-09-23

🏷️ Project Topics

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📚 Documentation

[TTS banner](https://user-images.githubusercontent.com/1402048/104139991-3fd15e00-53af-11eb-8640-3a78a64641dd.png =250x250)
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English Voice Samples

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TTS

Project Description