REDUCED MULTIDIMENSIONAL INDICES COMPRESSION FOR AUDIO CODEC SYSTEM

    公开(公告)号:US20250131930A1

    公开(公告)日:2025-04-24

    申请号:US18540084

    申请日:2023-12-14

    Abstract: A method comprises: storing n dimension (nD) dictionaries (nD dictionaries) where n decreases from a highest dimension to a lowest dimension, each nD dictionary including codewords for sequences of n symbols that are of a limited number that is less than all possible sequences of n symbols; storing key blocks for corresponding ones of the nD dictionaries, each key block configured with keys that map sequences of n−1 symbols to dictionaries of a corresponding one of the nD dictionaries that includes the codewords; receiving a sequence of symbols that represent indices of codevectors of a vector quantizer codebook that are representative of audio; determining a codeword using the key blocks and the nD dictionaries; and encoding a current symbol of the sequence of symbols using the codeword.

    DATA DRIVEN AUDIO ENHANCEMENT
    6.
    发明申请

    公开(公告)号:US20240371392A1

    公开(公告)日:2024-11-07

    申请号:US18773339

    申请日:2024-07-15

    Abstract: Systems and methods are disclosed for audio enhancement. For example, methods may include accessing audio data; determining a window of audio samples based on the audio data; inputting the window of audio samples to a classifier to obtain a classification, in which the classifier includes a neural network and the classification takes a value from a set of multiple classes of audio; selecting, based on the classification, an audio enhancement network from a set of multiple audio enhancement networks; applying the selected audio enhancement network to the window of audio samples to obtain an enhanced audio segment, in which the selected audio enhancement network includes a neural network that has been trained using audio signals of a type associated with the classification; and storing, playing, or transmitting an enhanced audio signal based on the enhanced audio segment.

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