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Parler-TTS - AI Audio Models Tool

Overview

Parler-TTS is an open-source text-to-speech inference and training library for generating high-fidelity speech from text. It provides tooling for running TTS models and for training or fine-tuning models, suitable for building custom TTS applications and research.

Key Features

  • Inference and training capabilities for TTS models
  • Generates high-fidelity, natural-sounding speech
  • Open-source codebase enabling customization
  • Library form factor for integration into applications

Ideal Use Cases

  • Deploying text-to-speech in applications and services
  • Training or fine-tuning custom voices
  • Research and experimentation with speech models
  • Adding accessibility features like narration or screen reader audio

Getting Started

  • Visit the project's GitHub repository
  • Clone the repository to your development environment
  • Install required dependencies as documented
  • Run an included inference example to generate speech
  • Follow the repository's training examples to fine-tune models

Pricing

Open-source project; no pricing information provided.

Key Information

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