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    • 7. 发明申请
    • USER-SPECIFIC CONFIDENCE THRESHOLDS FOR SPEECH RECOGNITION
    • 用户特定的信任语音识别语音识别
    • US20120209609A1
    • 2012-08-16
    • US13026670
    • 2011-02-14
    • Xufang ZhaoGaurav Talwar
    • Xufang ZhaoGaurav Talwar
    • G10L15/00
    • G10L15/08G10L17/00
    • A method of automatic speech recognition includes receiving an utterance from a user via a microphone that converts the utterance into a speech signal, pre-processing the speech signal using a processor to extract acoustic data from the received speech signal, and identifying at least one user-specific characteristic in response to the extracted acoustic data. The method also includes determining a user-specific confidence threshold responsive to the at least one user-specific characteristic, and using the user-specific confidence threshold to recognize the utterance received from the user and/or to assess confusability of the utterance with stored vocabulary.
    • 自动语音识别的方法包括:经由麦克风接收来自用户的话语,该麦克风将话语转换成语音信号,使用处理器预处理语音信号,以从接收到的语音信号中提取声学数据,以及识别至少一个用户 响应于提取的声学数据的特定特性。 所述方法还包括响应于所述至少一个用户特定特征来确定用户特定的置信度阈值,并且使用所述用户特定置信阈值来识别从所述用户接收的话语和/或评估所述话语与所存储的词汇的混淆性 。
    • 8. 发明申请
    • USING PITCH DURING SPEECH RECOGNITION POST-PROCESSING TO IMPROVE RECOGNITION ACCURACY
    • 语音识别后处理中使用PITCH来提高识别精度
    • US20110144987A1
    • 2011-06-16
    • US12635346
    • 2009-12-10
    • Xufang ZhaoUma Arun
    • Xufang ZhaoUma Arun
    • G10L15/00G10L15/28G10L15/20G10L21/00
    • G10L15/20G10L25/15G10L25/90G10L2015/027
    • A method of automated speech recognition in a vehicle. The method includes receiving audio in the vehicle, pre-processing the received audio to generate acoustic feature vectors, decoding the generated acoustic feature vectors to produce at least one speech hypothesis, and post-processing the at least one speech hypothesis using pitch to improve speech recognition accuracy. The speech hypothesis can be accepted as recognized speech during post-processing if pitch is present in the received audio. Alternatively, a pitch count for the received audio can be determined, N-best speech hypotheses can be post-processed by comparing the pitch count to syllable counts associated with the speech hypotheses, and the speech hypothesis having a syllable count equal to the pitch count can be accepted as recognized speech.
    • 一种在车辆中自动语音识别的方法。 该方法包括在车辆中接收音频,对接收的音频进行预处理以产生声学特征向量,解码所生成的声学特征向量以产生至少一个语音假设,以及使用音高对语音假设进行后处理以改善语音 识别精度。 如果接收到的音频中存在音调,则语音假设可以在后处理中被接受为识别语音。 或者,可以确定接收到的音频的音调计数,通过将音调计数与与语音假设相关联的音节计数进行比较,可以对N个最佳语音假设进行后处理,并且具有等于音高计数的音节计数的语音假设 可以被接受为公认的演讲。
    • 10. 发明授权
    • Using pitch during speech recognition post-processing to improve recognition accuracy
    • 在语音识别后处理中使用音调来提高识别精度
    • US09484027B2
    • 2016-11-01
    • US12635346
    • 2009-12-10
    • Xufang ZhaoUma Arun
    • Xufang ZhaoUma Arun
    • G10L21/00G10L25/00G10L15/20G10L25/90G10L25/15
    • G10L15/20G10L25/15G10L25/90G10L2015/027
    • A method of automated speech recognition in a vehicle. The method includes receiving audio in the vehicle, pre-processing the received audio to generate acoustic feature vectors, decoding the generated acoustic feature vectors to produce at least one speech hypothesis, and post-processing the at least one speech hypothesis using pitch to improve speech recognition accuracy. The speech hypothesis can be accepted as recognized speech during post-processing if pitch is present in the received audio. Alternatively, a pitch count for the received audio can be determined, N-best speech hypotheses can be post-processed by comparing the pitch count to syllable counts associated with the speech hypotheses, and the speech hypothesis having a syllable count equal to the pitch count can be accepted as recognized speech.
    • 一种在车辆中自动语音识别的方法。 该方法包括在车辆中接收音频,对接收的音频进行预处理以产生声学特征向量,解码所生成的声学特征向量以产生至少一个语音假设,以及使用音高对语音假设进行后处理以改善语音 识别精度。 如果接收到的音频中存在音调,则语音假设可以在后处理中被接受为识别语音。 或者,可以确定接收到的音频的音调计数,通过将音调计数与与语音假设相关联的音节计数进行比较,可以对N个最佳语音假设进行后处理,并且具有等于音高计数的音节计数的语音假设 可以被接受为公认的演讲。