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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 tools for running TTS inference and training models for integration into TTS applications.

Key Features

  • Open-source TTS inference and training library.
  • Generates high-fidelity speech from text.
  • Supports both inference and model training workflows.
  • Designed for integration into TTS applications.

Ideal Use Cases

  • Adding natural-sounding speech to apps and services.
  • Prototyping and research in speech synthesis.
  • Generating narration for audiobooks and media.
  • Accessibility features like screen readers and voice output.
  • Building IVR or voice assistant backends.

Getting Started

  • Clone the Parler-TTS GitHub repository.
  • Install dependencies as listed in the repository README.
  • Run provided inference examples to test outputs.
  • Prepare and configure training datasets per documentation.
  • Run included training scripts or example pipelines.
  • Refer to repository documentation for advanced configuration.

Pricing

Open-source project hosted on GitHub. No vendor pricing or commercial plans disclosed in the provided context.

Key Information

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