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snakers4/silero-models

Silero Models offers a collection of pre-trained, end-to-end text-to-speech models designed for simplicity, speed, and natural-sounding speech generation.

Core Features

Fully end-to-end text-to-speech synthesis

Extensive library of natural-sounding voices

One-line usage for easy integration and portability

High performance on both CPU and GPU

Support for SSML, automated stress, and homographs

Quick Start

pip install silero

Detailed Introduction

Silero Models is an open-source project providing a comprehensive suite of pre-trained text-to-speech (TTS) models, making speech synthesis remarkably accessible. It emphasizes ease of use with one-line integration, high performance across various hardware, and the generation of natural-sounding speech. The library supports a large variety of voices and languages, including advanced features like SSML, automated stress, and homograph handling for specific languages, positioning it as a robust solution for developers seeking efficient and high-quality TTS capabilities.