BACKGROUND NOISE ESTIMATION USING GAP CONFIDENCE

    公开(公告)号:US20210249029A1

    公开(公告)日:2021-08-12

    申请号:US17049029

    申请日:2019-04-24

    Abstract: A noise estimation method including steps of generating gap confidence values in response to microphone output and playback signals, and using the gap confidence values to generate an estimate of background noise in a playback environment. Each gap confidence value is indicative of confidence of presence of a gap at a corresponding time in the playback signal, and may be a combination of candidate noise estimates weighted by the gap confidence values. Generation of the candidate noise estimates may but need not include performance of echo cancellation. Optionally, noise compensation is performed on an audio input signal using the generated background noise estimate. Other aspects are systems configured to perform any embodiment of the noise estimation method.

    PER-EPOCH DATA AUGMENTATION FOR TRAINING ACOUSTIC MODELS

    公开(公告)号:US20210035563A1

    公开(公告)日:2021-02-04

    申请号:US16936673

    申请日:2020-07-23

    Abstract: In some embodiments, methods and systems for training an acoustic model, where the training includes a training loop (including at least one epoch) following a data preparation phase. During the training loop, training data are augmented to generate augmented training data. During each epoch of the training loop, at least some of the augmented training data is used to train the model. The augmented training data used during each epoch may be generated by differently augmenting (e.g., augmenting using a different set of augmentation parameters) at least some of the training data. In some embodiments, the augmentation is performed in the frequency domain, with the training data organized into frequency bands. The acoustic model may be of a type employed (when trained) to perform speech analytics (e.g., wakeword detection, voice activity detection, speech recognition, or speaker recognition) and/or noise suppression.

    SUBBAND DOMAIN ACOUSTIC ECHO CANCELLER BASED ACOUSTIC STATE ESTIMATOR

    公开(公告)号:US20230421952A1

    公开(公告)日:2023-12-28

    申请号:US18255573

    申请日:2021-12-02

    CPC classification number: H04R3/02

    Abstract: Some implementations involve receiving, from a first subband domain acoustic echo canceller (AEC) of a first audio device in an audio environment, first adaptive filter management data from each of a plurality of first adaptive filter management modules, each first adaptive filter management module corresponding to a subband of the first subband domain AEC, each first adaptive filter management module being configured to control a first plurality of adaptive filters. The first plurality of adaptive filters may include at least a first adaptive filter type and a second adaptive filter type. Some implementations involve extracting, from the first adaptive filter management data, a first plurality of extracted features corresponding to a plurality of subbands of the first subband domain AEC and estimating a current local acoustic state based, at least in part, on the first plurality of extracted features.

    Background noise estimation using gap confidence

    公开(公告)号:US11232807B2

    公开(公告)日:2022-01-25

    申请号:US17049029

    申请日:2019-04-24

    Abstract: A noise estimation method including steps of generating gap confidence values in response to microphone output and playback signals, and using the gap confidence values to generate an estimate of background noise in a playback environment. Each gap confidence value is indicative of confidence of presence of a gap at a corresponding time in the playback signal, and may be a combination of candidate noise estimates weighted by the gap confidence values. Generation of the candidate noise estimates may but need not include performance of echo cancellation. Optionally, noise compensation is performed on an audio input signal using the generated background noise estimate. Other aspects are systems configured to perform any embodiment of the noise estimation method.

    FORCED GAP INSERTION FOR PERVASIVE LISTENING

    公开(公告)号:US20210304782A1

    公开(公告)日:2021-09-30

    申请号:US17261884

    申请日:2019-07-26

    Abstract: A pervasive listening method including steps of inserting at least one forced gap in a playback signal (thus generating a modified playback signal), and during playback of the modified playback signal, monitoring non-playback content (e.g., including by generating an estimate of background noise) in a playback environment using output of a microphone in the playback environment. Optionally, the method includes generation of the playback signal, including by processing of (e.g., performing noise compensation on) an input signal using a result (e.g., a background noise estimate) of the monitoring of non-playback content. Other aspects are systems configured to perform any embodiment of the pervasive listening method.

    Background noise estimation using gap confidence

    公开(公告)号:US11587576B2

    公开(公告)日:2023-02-21

    申请号:US17449918

    申请日:2021-10-04

    Abstract: A noise estimation method including steps of generating gap confidence values in response to microphone output and playback signals, and using the gap confidence values to generate an estimate of background noise in a playback environment. Each gap confidence value is indicative of confidence of presence of a gap at a corresponding time in the playback signal, and may be a combination of candidate noise estimates weighted by the gap confidence values. Generation of the candidate noise estimates may but need not include performance of echo cancellation. Optionally, noise compensation is performed on an audio input signal using the generated background noise estimate. Other aspects are systems configured to perform any embodiment of the noise estimation method.

    BACKGROUND NOISE ESTIMATION USING GAP CONFIDENCE

    公开(公告)号:US20220028405A1

    公开(公告)日:2022-01-27

    申请号:US17449918

    申请日:2021-10-04

    Abstract: A noise estimation method including steps of generating gap confidence values in response to microphone output and playback signals, and using the gap confidence values to generate an estimate of background noise in a playback environment. Each gap confidence value is indicative of confidence of presence of a gap at a corresponding time in the playback signal, and may be a combination of candidate noise estimates weighted by the gap confidence values. Generation of the candidate noise estimates may but need not include performance of echo cancellation. Optionally, noise compensation is performed on an audio input signal using the generated background noise estimate. Other aspects are systems configured to perform any embodiment of the noise estimation method.

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