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Parler-TTS - AI Audio Models Tool

Overview

Parler-TTS is an open-source text-to-speech (TTS) inference and training library developed to produce high-fidelity speech from text. The project focuses on providing a full TTS pipeline—covering preprocessing, model training, and inference—so researchers and engineers can build, fine-tune, or deploy neural TTS systems without starting from scratch. As an open-source Hugging Face repository, Parler-TTS aims to be usable for both research experiments and production-oriented workflows. According to the GitHub repository, the project has attracted significant community interest (5,505 stars) and is maintained under the Apache-2.0 license. The codebase is actively developed (last recorded commit: 2024-12-10) and includes utilities for training and running inference, making it suitable for teams that need a customizable, end-to-end TTS solution that integrates with common machine-learning toolchains.

GitHub Statistics

  • Stars: 5,505
  • Forks: 583
  • Contributors: 10
  • License: Apache-2.0
  • Primary Language: Python
  • Last Updated: 2024-12-10T08:28:12Z

Repository metrics: 5,505 stars, 583 forks, 10 contributors, Apache-2.0 license, last commit on 2024-12-10 (according to the GitHub repository). The star and fork counts indicate strong interest and a sizable user base for an open-source TTS project. Ten contributors suggest a small core team with external contributions; active commits through late 2024 show ongoing maintenance. The Apache-2.0 license makes the code permissive for commercial and research use. For up-to-date issue and PR activity, consult the repository's Issues and Pull Requests tabs on GitHub.

Installation

Install via pip:

git clone https://github.com/huggingface/parler-tts.git
cd parler-tts
pip install -r requirements.txt
pip install -e .

Key Features

  • Open-source inference and training library for neural text-to-speech pipelines
  • End-to-end text-to-waveform workflow including preprocessing and audio generation
  • Training utilities for building and fine-tuning custom TTS models
  • Inference routines suitable for batch generation and integration into services
  • Designed to work with common ML environments and GPU-accelerated workflows

Community

Parler-TTS has a strong open-source presence (5,505 stars, 583 forks) and is licensed under Apache-2.0. Ten contributors maintain the codebase with recent commits as of 2024-12-10. Community engagement appears healthy—use GitHub Issues and Discussions for bug reports, feature requests, and help. For examples, model checkpoints, and integration patterns, consult the repository README and example folders on GitHub.

Last Refreshed: 2026-01-09

Key Information

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