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  2. List of audio conversion software - Wikipedia

    en.wikipedia.org/wiki/List_of_audio_conversion...

    An audio conversion app (also known as an audio converter) transcodes one audio file format into another; for example, from FLAC into MP3. It may allow selection of encoding parameters for each of the output file to optimize its quality and size.

  3. List of open-source codecs - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_codecs

    FAAD2 – open-source decoder for Advanced Audio Coding. There is also FAAC, the same project's encoder, but it is proprietary (but still free of charge). libgsm – Lossy compression ; opencore-amr – Lossy compression (AMR and AMR-WB) liba52 – a free ATSC A/52 stream decoder (AC-3) libdca – a free DTS Coherent Acoustics decoder

  4. Comparison of audio coding formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_audio_coding...

    Free libopus, FFmpeg Speech, VoIP, Low latency, Studio/transmitter link, wireless audio, voice recording, WebRTC Yes Yes No Yes [29] No OSQ: Steinberg: 2002 ? Free WaveLab: FFmpeg (decoding only) Music archival Yes No Yes No No QOA: Dominic Szablewski 2023-02-02 1.0 (2023-04-24) Free qoa, FFmpeg (decoding only) - Yes Yes No No No Sac: Sebastian ...

  5. libavcodec - Wikipedia

    en.wikipedia.org/wiki/Libavcodec

    Free and open-source software portal; libavcodec is a free and open-source [4] library of codecs for encoding and decoding video and audio data. [5]libavcodec is an integral part of many open-source multimedia applications and frameworks.

  6. Speex - Wikipedia

    en.wikipedia.org/wiki/Speex

    Speex is a lossy format, i.e. quality is permanently degraded to reduce file size. The Speex project was created on February 13, 2002. [ 9 ] The first development versions of Speex were released under LGPL license, but as of version 1.0 beta 1, Speex is released under Xiph's version of the (revised) BSD license. [ 10 ]

  7. Lyra (codec) - Wikipedia

    en.wikipedia.org/wiki/Lyra_(codec)

    In December 2017, Google researchers published a preprint paper on replacing the Codec 2 decoder with a WaveNet neural network. They found that a neural network is able to extrapolate features of the voice not described in the Codec 2 bitstream and give better audio quality, and that the use of conventional features makes the neural network calculation simpler compared to a purely waveform ...