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Accent invariant speech recognition

  • US 10,446,136 B2
  • Filed: 05/11/2017
  • Issued: 10/15/2019
  • Est. Priority Date: 05/11/2017
  • Status: Active Grant
First Claim
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1. A method for accent invariant speech recognition comprising:

  • maintaining a database for storing a set of language units in a given language, wherein for each language unit, storing audio samples of pronunciation variations of the language unit pronounced by a plurality of speakers;

    extracting and storing in the database a feature vector for locating each of the audio samples in a feature space;

    identifying two types of distances;

    (i) pronunciation variation, which are distances between locations of audio samples of the same language unit with different pronunciations, in the feature space; and

    (ii) inter-unit distances, which are distances between locations of audio samples of different language units in the feature space;

    calculating a transformation applicable on the feature space to reduce the pronunciation variation distances relative to the inter-unit distancesm, the transformation is configured to make various pronunciation variations of the same language unit indistinguishable by a classification processor;

    when receiving an input audio;

    transforming the received signal to an accent-invariant audio signal by applying the calculated transformation on the input audio signal, wherein language units included in the accent-invariant audio signal are indistinguishable by the classification processor from other pronunciation variations of the same language units; and

    recognizing a language unit in said input audio signal, by applying classification by said classification processor.

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