• Patent Title: SYSTEM AND METHOD FOR ADAPTIVE DETECTION OF SPOKEN LANGUAGE VIA MULTIPLE SPEECH MODELS
  • Application No.: PCT/US2019/018209
    Application Date: 2019-02-15
  • Publication No.: WO2019161193A3
    Publication Date: 2019-08-22
  • Inventor: SHUKLA, Nishant
  • Applicant: DMAI, INC.
  • Applicant Address: 10940 Wilshire Blvd, Suite 1100 Los Angeles, California 90024 US
  • Assignee: DMAI, INC.
  • Current Assignee: DMAI, INC.
  • Current Assignee Address: 10940 Wilshire Blvd, Suite 1100 Los Angeles, California 90024 US
  • Agency: GADKAR, Arush
  • Priority: US62/630,962 20180215
  • Main IPC: G06F17/30
  • IPC: G06F17/30 G10L15/26 G10L15/30 G10L15/183 G10L15/197
SYSTEM AND METHOD FOR ADAPTIVE DETECTION OF SPOKEN LANGUAGE VIA MULTIPLE SPEECH MODELS
Abstract:
The present teaching relates to method, system, medium, and implementations for speech recognition in a spoken language. Upon receiving a speech signal representing an utterance of a speaker in one of a plurality of spoken languages, speech recognition is performed based on the speech signal in accordance with a plurality of speech recognition models corresponding to the plurality of spoken languages to generate a plurality of text strings each of which represents a speech recognition result in a corresponding one of the plurality of spoken languages. With respect to each of the plurality of text strings associated with a corresponding spoken language, a likelihood that the utterance is in the corresponding spoken language is computed. A spoken language of the utterance is determined based on the likelihood with respect to each of the plurality of text strings.
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