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INCORPORATING AN EXOGENOUS LARGE-VOCABULARY MODEL INTO RULE-BASED SPEECH RECOGNITION
INCORPORATING AN EXOGENOUS LARGE-VOCABULARY MODEL INTO RULE-BASED SPEECH RECOGNITION
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机译:将外来的大词汇量模型纳入基于规则的语音识别中
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摘要
Incorporation of an exogenous large-vocabulary model into rule-based speech recognition is provided. An audio stream is received by a local small-vocabulary rule-based speech recognition system (SVSRS), and is streamed to a large-vocabulary statistically-modeled speech recognition system (LVSRS). The SVSRS and LVSRS perform recognitions of the audio. If a portion of the audio is not recognized by the SVSRS, a rule is triggered that inserts a mark-up in the recognition result. The recognition result is sent to the LVSRS. If a mark-up is detected, recognition of a specified portion of the audio is performed. The LVSRS result is unified with the SVSRS result and sent as a hybrid response back to the SVSRS. If the hybrid-recognition rule is not triggered, an arbitration algorithm is evoked to determine whether the SVSRS or the LVSRS recognition has a lesser word error rate. The determined recognition is sent as a response to the SVSRS.
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