Showing 4 open source projects for "opus"

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    yt-dlp

    yt-dlp

    A youtube-dl fork with additional features and fixes

    yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project
    Downloads: 769 This Week
    Last Update:
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  • 2
    UwUConverter

    UwUConverter

    cross-platform file conversion tool with right-click file menu support

    ...Linux support is currently considered experimental while compatibility is tested across more distributions and desktop environments. UwUConverter supports a wide range of formats, including: Video: MP4, MKV, MOV, AVI, WEBM Audio: MP3, WAV, FLAC, OGG, OPUS Images: PNG, JPG, JPEG, WEBP, ICO, TIF, TIFF, RAW Documents: PDF, DOCX, ODT, TXT Spreadsheets: XLSX, XLS, XLSB, XLSM, ODS, CSV, TSV
    Downloads: 4 This Week
    Last Update:
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  • 3
    TrackIndex — Music Library Manager

    TrackIndex — Music Library Manager

    Organize and play local music. Keep your track order outside the app.

    TrackIndex is your local music library manager and player for Windows. Open a music folder or create a playlist, drag tracks into order, and listen as you organize. Want that order to appear in File Explorer too? Optional numbered filenames show your chosen sequence when sorted by Name. You can also save the order in M3U or M3U8 playlists for compatible players, without renaming your tracks. Undo and redo reordering, added or removed tracks, and playlist changes while TrackIndex is...
    Downloads: 17 This Week
    Last Update:
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  • 4
    EnCodec

    EnCodec

    State-of-the-art deep learning based audio codec

    Encodec is a neural audio codec developed by Meta for high-fidelity, low-bitrate audio compression using end-to-end deep learning. Unlike traditional codecs (like MP3 or Opus), Encodec uses a learned quantizer and decoder to reconstruct complex waveforms with remarkable accuracy at bitrates as low as 1.5 kbps. It employs a convolutional encoder–decoder architecture trained with perceptual loss functions that optimize for human auditory quality rather than raw waveform distance. The model can operate in real time and supports variable bandwidths, bitrates, and multi-band audio. ...
    Downloads: 0 This Week
    Last Update:
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