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Audio Processing · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesAudio Processing

Tools for converting between spoken language and text using automated speech recognition and synthesis engines.

Explore 3 awesome GitHub repositories matching graphics & multimedia · Audio Processing. Refine with filters or upvote what's useful.

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  4. Audio Processing Systems
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Awesome Audio Processing GitHub Repositories

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  • binary-husky/gpt_academic

    binary-husky/gpt_academic

    70,112GitHubView on GitHub↗

    This project provides a self-hosted, web-based interface designed to integrate large language models into academic and research workflows. It functions as a modular platform for document analysis, literature processing, and data handling, allowing users to maintain full control over their data and model connectivity th

    Pythonacademicchatglm-6bchatgpt
  • CorentinJ/Real-Time-Voice-Cloning

    CorentinJ/Real-Time-Voice-Cloning

    59,355GitHubView on GitHub↗

    This project is a neural text-to-speech engine and voice cloning toolkit designed to generate synthetic speech that mimics the vocal characteristics of a target speaker. It functions as a real-time audio synthesizer, utilizing a deep learning pipeline to convert written text into high-fidelity speech output with minima

    Pythondeep-learningpythonpytorch
  • RVC-Boss/GPT-SoVITS

    RVC-Boss/GPT-SoVITS

    55,111GitHubView on GitHub↗

    GPT-SoVITS is a text-to-speech synthesis engine and voice cloning toolkit designed for generating natural-sounding human speech. It functions as a neural audio processing pipeline that maps input text to high-fidelity audio waveforms, utilizing conditional variational autoencoders and flow-based decoders to ensure expr

    Pythontext-to-speechttsvits

Explore sub-tags

  • Speech-to-Text PipelinesAutomated workflows that convert spoken audio input into actionable text commands.
  • Text-to-Speech EnginesSoftware systems that convert written text into natural-sounding human speech using automated processing pipelines.