CRIM is happy to announce two new patents

CRIM is happy to announce two new patents

Published December 9, 2014

We are happy to announce two new patents granted for the work of our Speech Recognition team.

First, a patent granted by the USA entitled "Content based audio copy detection", issued September 9, 2014. The inventors are Vishwa Gupta, Gilles Boulianne and Patrick Cardinal.

Abstract:
A method for performing audio copy detection, comprising, providing a query audio data, the query audio data having a succession of frames and also providing a plurality of test audio data units, each test audio data unit including a succession of frames. For each test audio data unit the method generates a test fingerprint set. The generation of the test fingerprint test including computing similarity measurements between at least one frame of the test audio data and a plurality of frames of the query audio data. A test audio data unit is then selected as a match for the query audio data at least in part on the basis of the fingerprint sets.

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And, issued more recently, a Canadian patent entitled "Identifying keyword occurrences in audio data", issued October 14, 2014. The inventors are Vishwa Gupta and Gilles Boulianne.

Abstract:
Occurrences of one or more keywords in audio data are identified using a speech recognizer employing a language model to derive a transcript of the keywords. The transcript is converted into a phoneme sequence. The phonemes of the phoneme sequence are mapped to the audio data to derive a time-aligned phoneme sequence that is searched for occurrences of keyword phoneme sequences corresponding to the phonemes of the keywords. Searching includes computing a confusion matrix. The language model used by the speech recognizer is adapted to keywords by increasing the likelihoods of the keywords in the language model. For each potential occurrences keywords detected, a corresponding subset of the audio data may be played back to an operator to confirm whether the potential occurrences correspond to actual occurrences of the keywords.

More info >

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