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    • 2. 发明授权
    • Speech recognition for premature enunciation
    • 语音识别过早发音
    • US08762151B2
    • 2014-06-24
    • US13161872
    • 2011-06-16
    • John J. CorreiaGaurav TalwarXufang ZhaoRathinavelu Chengalvarayan
    • John J. CorreiaGaurav TalwarXufang ZhaoRathinavelu Chengalvarayan
    • G10L15/04
    • G10L15/04G10L15/22G10L25/78
    • Methods of automatic speech recognition for premature enunciation. In one method, a) a user is prompted to input speech, then b) a listening period is initiated to monitor audio via a microphone, such that there is no pause between the end of step a) and the beginning of step b), and then the begin-speaking audible indicator is communicated to the user during the listening period. In another method, a) at least one audio file is played including both a prompt for a user to input speech and a begin-speaking audible indicator to the user, b) a microphone is activated to monitor audio, after playing the prompt but before playing the begin-speaking audible indicator in step a), and c) speech is received from the user via the microphone.
    • 自动语音识别方法用于过早发音。 在一种方法中,a)提示用户输入语音,然后b)启动听觉周期以经由麦克风监视音频,使得步骤a)的结束与步骤b)的开始之间没有暂停, 然后在聆听期间将开头的声音指示符传送给用户。 在另一种方法中,a)播放至少一个音频文件,包括用户向用户输入语音的提示和开始说话的声音指示符,b)在播放提示之后但是之前激活麦克风来监视音频 在步骤a)中播放开头的声音指示符,以及c)通过麦克风从用户接收到语音。
    • 8. 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 。
    • 10. 发明授权
    • User-specific confidence thresholds for speech recognition
    • 用户特定的语音识别置信阈值
    • US08639508B2
    • 2014-01-28
    • US13026670
    • 2011-02-14
    • Xufang ZhaoGaurav Talwar
    • Xufang ZhaoGaurav Talwar
    • G10L17/00
    • 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 。