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myshell-ai/MeloTTS

0
View on GitHub↗
7,509 stars·1,049 forks·Python·MIT·15 views

MeloTTS

MeloTTS is an open-source text-to-speech library that generates natural-sounding speech across six languages, with the ability to mix two languages within a single utterance. Its architecture combines a token-based text frontend with a language-agnostic acoustic model, enabling it to handle bilingual code-switching and produce streaming audio output in real time.

The system is designed to run efficiently on standard CPU hardware without requiring a dedicated GPU, using a lightweight neural network for real-time inference. It supports English, Spanish, French, Chinese, Japanese, and Korean, and can process mixed-language input such as Chinese and English within the same sentence by switching between language-specific acoustic models.

The library provides a freely available toolkit for developers to integrate speech synthesis into applications, with phoneme mapping that preserves language identity and prosodic boundaries across all supported languages.

Features

  • TTS Engine Optimizations - A speech synthesis engine designed to run real-time inference on standard CPU hardware without requiring a dedicated GPU.
  • Bilingual Speech Synthesizers - Handles text containing both Chinese and English within a single utterance for bilingual speech generation.
  • CPU Inference Runtimes - Runs a lightweight neural network model designed for real-time speech synthesis on standard CPU hardware.
  • Speech Inference Runtimes - Runs real-time text-to-speech synthesis on standard CPU hardware without requiring a dedicated GPU.
  • Shared Acoustic Backbones - Uses a shared neural backbone trained on multilingual data to generate speech features independent of input language.
  • Prosody-Preserving Tokenizers - Converts raw text into a tokenised representation that preserves language identity and prosodic boundaries for synthesis.
  • CPU-Based Synthesizers - Runs real-time text-to-speech inference on standard CPU hardware without needing a dedicated GPU.
  • Multilingual Text-to-Speech Engines - Converts written text into natural-sounding speech across multiple languages including English, Spanish, French, Chinese, Japanese, and Korean.
  • Bilingual Code-Switching - Detects and processes mixed-language text within a single utterance by switching between language-specific acoustic models.
  • Open Source Toolkits - A freely available toolkit for developers to integrate high-quality speech synthesis into applications with multi-language support.
  • Grapheme-to-Phoneme Pipelines - Maps input text to language-specific phoneme sequences using a unified phonetic representation across six languages.
  • Streaming Audio Generators - Produces audio output in small chunks during inference to minimise latency and enable real-time playback.
  • AI & Machine Learning - Multi-lingual text-to-speech library.

Star history

Star history chart for myshell-ai/melottsStar history chart for myshell-ai/melotts

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does myshell-ai/melotts do?

MeloTTS is an open-source text-to-speech library that generates natural-sounding speech across six languages, with the ability to mix two languages within a single utterance. Its architecture combines a token-based text frontend with a language-agnostic acoustic model, enabling it to handle bilingual code-switching and produce streaming audio output in real time.

What are the main features of myshell-ai/melotts?

The main features of myshell-ai/melotts are: TTS Engine Optimizations, Bilingual Speech Synthesizers, CPU Inference Runtimes, Speech Inference Runtimes, Shared Acoustic Backbones, Prosody-Preserving Tokenizers, CPU-Based Synthesizers, Multilingual Text-to-Speech Engines.

What are some open-source alternatives to myshell-ai/melotts?

Open-source alternatives to myshell-ai/melotts include: bytedance/megatts3 — MegaTTS3 is a bilingual speech synthesis system that generates natural-sounding speech in Chinese and English,… espeak-ng/espeak-ng — espeak-ng is a multilingual text-to-speech engine and C-based library that converts written text into spoken audio… opennmt/ctranslate2 — CTranslate2 is a C++ inference engine and runtime for Transformer models, designed to execute models on both CPU and… xlite-dev/lite.ai.toolkit — lite.ai.toolkit is a C++ computer vision toolkit designed for edge AI deployment. It enables the execution of… kennethleungty/llama-2-open-source-llm-cpu-inference — This project provides a framework for executing large language models and performing document-based question answering… freemocap/freemocap — FreeMoCap is an open-source markerless motion capture system that reconstructs 3D human pose from video. It uses a…