Title:
SYSTEM AND METHOD FOR ADAPTIVE DETECTION OF SPOKEN LANGUAGE VIA MULTIPLE SPEECH MODELS
Document Type and Number:
WIPO Patent Application WO/2019/161193
Kind Code:
A3
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.
Inventors:
SHUKLA NISHANT (US)
Application Number:
PCT/US2019/018209
Publication Date:
April 23, 2020
Filing Date:
February 15, 2019
Export Citation:
Assignee:
DMAI INC (US)
International Classes:
G10L15/183; G10L15/197; G10L15/26; G10L15/30
Foreign References:
US20110161080A1 | 2011-06-30 | |||
US20110246172A1 | 2011-10-06 | |||
US20120191449A1 | 2012-07-26 | |||
US20130090928A1 | 2013-04-11 |
Attorney, Agent or Firm:
GADKAR, Arush (US)
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