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Coqui TTS - AI Audio Models Tool

Overview

Coqui TTS is a deep-learning toolkit for advanced text-to-speech generation, offering pretrained models across 1100+ languages. It provides tools for training and fine-tuning models plus utilities for dataset analysis, and is used in both research and production environments.

Key Features

  • Deep-learning toolkit for advanced text-to-speech generation
  • Pretrained models covering 1100+ languages
  • Tools for training and fine-tuning neural TTS models
  • Utilities for dataset analysis and preparation
  • Battle-tested in research and production environments

Ideal Use Cases

  • Prototyping voice assistants and IVR systems
  • Building multilingual audiobook or narration pipelines
  • Research on speech synthesis models and architectures
  • Fine-tuning voices for branded TTS outputs
  • Integrating TTS into production audio services

Getting Started

  • Clone the GitHub repository: https://github.com/coqui-ai/TTS
  • Review the repository README and available documentation
  • Follow the repository installation and dependency instructions
  • Select a pretrained model for your target language and test inference
  • Fine-tune models using provided training tools if customization is needed
  • Run dataset analysis utilities to validate and prepare audio data

Pricing

Repository hosted on GitHub; no pricing information is provided in the supplied context.

Key Information

  • Category: Audio Models
  • Type: AI Audio Models Tool
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