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Parler-TTS - AI Audio Models Tool

Overview

Parler-TTS is a text-to-speech inference and training library for generating high-fidelity speech from text. It provides an open-source codebase intended for research, prototyping, and deploying text-to-speech applications.

Key Features

  • Inference and training library for text-to-speech
  • Generates high-fidelity speech from text
  • Open-source codebase hosted on GitHub
  • Designed for TTS application development and research

Ideal Use Cases

  • Prototyping TTS features for apps and services
  • Training and fine-tuning custom voice models
  • Research in speech synthesis and model development
  • Creating accessibility audio from text content

Getting Started

  • Clone the GitHub repository to your local environment
  • Install dependencies listed in the repository
  • Run an example inference to generate speech from text
  • Prepare training data following repository guidance
  • Use provided training scripts to train or fine-tune models

Pricing

No pricing information disclosed; project is open-source and hosted in a public repository.

Key Information

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