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go-audio avatar

go-audio/audioArchived

0
View on GitHub↗
238 stars·12 forks·Go·Apache-2.0·14 views

Audio

Generic Go package designed to define a common interface to analyze and/or process audio data

Features

  • Audio Processing Libraries - Defines common interfaces for processing audio data in Go.

Star history

Star history chart for go-audio/audioStar history chart for go-audio/audio

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does go-audio/audio do?

Generic Go package designed to define a common interface to analyze and/or process audio data

What are the main features of go-audio/audio?

The main features of go-audio/audio are: Audio Processing Libraries.

What are some open-source alternatives to go-audio/audio?

Open-source alternatives to go-audio/audio include: heartmula/heartlib — Heartlib is an audio processing library for large language models that provides tools for audio tokenization,… librosa/librosa — Librosa is a Python audio analysis library and digital signal processing framework. It functions as a feature… chrisguttandin/standardized-audio-context — A cross-browser wrapper for the Web Audio API which aims to closely follow the standard. go-audio/wav — Battle tested Wav decoder/encoder. chrisguttandin/web-audio-beat-detector — A beat detection utility which is using the Web Audio API. bbc/audiowaveform — C++ program to generate waveform data and render waveform images from audio files.

Open-source alternatives to Audio

Similar open-source projects, ranked by how many features they share with Audio.
  • heartmula/heartlibHeartMuLa avatar

    HeartMuLa/heartlib

    3,921View on GitHub↗

    Heartlib is an audio processing library for large language models that provides tools for audio tokenization, compression, and cross-modal alignment. It implements core models for audio-text embedding, automatic speech recognition, neural codecs, and text-driven audio synthesis. The project features a text-to-audio synthesis engine capable of generating high-fidelity music and speech from text descriptions or reference files. It also includes a neural audio codec designed for low-bitrate compression that preserves acoustic structure and sound quality. Additional capabilities cover audio-text

    Python
    View on GitHub↗3,921
  • librosa/librosalibrosa avatar

    librosa/librosa

    8,200View on GitHub↗

    Librosa is a Python audio analysis library and digital signal processing framework. It functions as a feature extraction suite and music information retrieval tool designed to analyze the structural and sonic characteristics of audio signals. The library provides specialized capabilities for music analysis, including dynamic tempo tracking to identify rhythmic pulses and spectral feature extraction to compute harmonic spectra, chroma variants, and onset points. It also serves as a time-series audio processor for synchronizing audio streams. The system covers a broad range of audio processing

    Pythonaudiodsplibrosa
    View on GitHub↗8,200
  • chrisguttandin/standardized-audio-contextchrisguttandin avatar

    chrisguttandin/standardized-audio-context

    776View on GitHub↗

    A cross-browser wrapper for the Web Audio API which aims to closely follow the standard.

    JavaScript
    View on GitHub↗776
  • chrisguttandin/web-audio-beat-detectorchrisguttandin avatar

    chrisguttandin/web-audio-beat-detector

    674View on GitHub↗

    A beat detection utility which is using the Web Audio API.

    JavaScript
    View on GitHub↗674
  • See all 16 alternatives to Audio→