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  2. Google Meet - Wikipedia

    en.wikipedia.org/wiki/Google_Meet

    Google Meet uses proprietary protocols for audio and video stream control. Interoperability between Google Meet and SIP/H.323-based conferencing equipment and software is available for Google Workspace customers through third-party services. [59] Google Meet is optimized for low-bandwidth mobile networks through WebRTC and uses QUIC over UDP.

  3. 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 ...

  4. Comparison of audio coding formats - Wikipedia

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

    Bluetooth audio Yes No No Yes No LHDC: Savitech 2017 5.0.6 (2022-08-03) Non-free Mobile phones, Bluetooth headphones, Home receivers Android 10: Bluetooth audio Yes No Yes Yes No L2HC Huawei: 2020 3.0 (2023-09-19) Non-free Huawei products, EMUI, HarmonyOS: Android 10, OpenHarmony, Oniro OS Bluetooth audio NearLink audio Yes Yes Yes Yes Yes Lyra ...

  5. Codec listening test - Wikipedia

    en.wikipedia.org/wiki/Codec_listening_test

    A codec listening test is a scientific study designed to compare two or more lossy audio codecs, usually with respect to perceived fidelity or compression efficiency. Most tests take the form of a double-blind comparison. Commonly used methods are known as "ABX" or "ABC/HR" or "MUSHRA". There are various software packages available for ...

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  7. MUSHRA - Wikipedia

    en.wikipedia.org/wiki/MUSHRA

    MUSHRA stands for Multiple Stimuli with Hidden Reference and Anchor and is a methodology for conducting a codec listening test to evaluate the perceived quality of the output from lossy audio compression algorithms. It is defined by ITU-R recommendation BS.1534-3. [1] The MUSHRA methodology is recommended for assessing "intermediate audio quality".

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