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US 2018/0322863 A1Published application
Cepstral variance normalization for audio feature extraction
AssigneeIntel Corporation
InventorsTOBIAS BOCKLET, ADAM MAREK
Life of this patent
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AssigneeIntel Corporation
InventorsTOBIAS BOCKLET, ADAM MAREK
Estimating the term…
Cepstral variance normalization is described for audio feature extraction. In some embodiments a method includes receiving a sequence of frames of digitized audio from a microphone, determining a feature vector for a first frame of the sequence of frames, the feature vector being determined using an initial mean and an initial variance, updating the initial mean to a current mean using the determined feature vector for the first frame, updating the variance to a current variance using the current mean and the determined feature vector for the first frame, determining a next feature vector for each of subsequent frames of the sequence of frames, after determining a next feature vector for each subsequent frame, updating the current mean to a next current mean and updating the current variance to a next current variance and wherein determining a feature vector for a subsequent frame comprises using the next current mean and the next current variance, and sending the determined feature vectors to a recognition stage of an audio processing pipeline.
A method comprising:
The method of any one or more of the above claims, wherein determining a feature vector comprises determining a mel-frequency cepstral coefficient.
The method of any one or more of the above claims, wherein the digitized audio is speech.
The method of any one or more of the above claims, wherein the recognition stage comprises a decoder, the method further comprising receiving the determined feature vectors at the decoder and determining at the decoder whether the digitized speech matches an authenticated user.
The method of any one or more of the above claims, wherein the next current mean is determined after each next feature vector using only the corresponding next feature vector and feature vectors of earlier frames of the sequence of frames.
A machine-readable medium having instructions thereon that, when executed by the machine, cause the machine to perform operations comprising:
An apparatus comprising:
An apparatus comprising:
Dependencies are inferred from the claim text.