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SYSTEM AND METHOD FOR ADAPTIVE DETECTION OF SPOKEN LANGUAGE VIA MULTIPLE SPEECH MODELS
SYSTEM AND METHOD FOR ADAPTIVE DETECTION OF SPOKEN LANGUAGE VIA MULTIPLE SPEECH MODELS
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机译:通过多种语音模型自适应检测口语的系统和方法
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摘要
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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