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Tortoise TTS

An open-source text-to-speech system focused on high-quality multi-voice synthesis and realistic prosody.

Introduction

Tortoise TTS is an open-source text-to-speech system that prioritizes high-fidelity multi-voice generation and natural prosody. The repo includes inference-ready code, a Hugging Face Space demo, and multiple installation paths (pip, Docker, conda), making it suitable for research and prototyping.

Key Features

  • High-quality multi-voice synthesis with emphasis on natural prosody and intonation.
  • Uses both autoregressive and diffusion decoders, with support for kv-cache and DeepSpeed for faster inference.
  • Comprehensive examples, Docker setup, and a live Hugging Face Space for quick evaluation.

Use Cases

  • Audiobook and multi-character narration that require diverse voices.
  • Research and prototyping to compare synthesis quality across models and settings.
  • Private or offline TTS deployments where control over models and data is required.

Technical Highlights

  • Hybrid autoregressive + diffusion decoding architecture for improved audio quality; supports half precision and caching for speedups.
  • Provides Python API, CLI tools, and socket streaming interfaces; includes Apple Silicon guidance and Docker examples.
  • Licensed under Apache-2.0 with active community contributions and links to Hugging Face-hosted model weights.

Comments

Tortoise TTS
Resource Info
🌱 Open Source 🗣️ Text to Speech