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    • 1. 发明授权
    • Method and system for using input signal quality in speech recognition
    • 在语音识别中使用输入信号质量的方法和系统
    • US08190430B2
    • 2012-05-29
    • US13205775
    • 2011-08-09
    • John DoyleJohn Brian Pickering
    • John DoyleJohn Brian Pickering
    • G10L15/00
    • G10L15/08G10L15/20
    • A method and system for using input signal quality in an automatic speech recognition system. The method includes measuring the quality of an input signal into a speech recognition system and varying a rejection threshold of the speech recognition system at runtime in dependence on the measurement of the input signal quality. If the measurement of the input signal quality is low, the rejection threshold is reduced and, if the measurement of the input signal quality is high, the rejection threshold is increased. The measurement of the input signal quality may be based on one or more of the measurements of signal-to-noise ratio, loudness, including clipping, and speech signal duration.
    • 一种在自动语音识别系统中使用输入信号质量的方法和系统。 该方法包括测量输入信号到语音识别系统的质量,并根据输入信号质量的测量在运行时改变语音识别系统的拒绝阈值。 如果输入信号质量的测量值低,则拒绝阈值降低,如果输入信号质量的测量值高,则抑制阈值增加。 输入信号质量的测量可以基于信噪比,响度,包括限幅和语音信号持续时间的一个或多个测量。
    • 2. 发明授权
    • Computer generated prompting
    • 计算机生成提示
    • US08064573B2
    • 2011-11-22
    • US12173260
    • 2008-07-15
    • George Murdoch ClellandJohn Brian Pickering
    • George Murdoch ClellandJohn Brian Pickering
    • H04M1/64G10L15/22
    • G10L15/22G10L15/222
    • A method and apparatus for generating appropriate confirmatory prompts in a speech-enabled, interactive computer system. The method can be incorporated in an interactive voice response system that includes receiving an input audio stream over a voice channel from a users, performing keyword recognition on received input audio as subsequent input audio is being received, and prompting the user with an acknowledgement of the keyword or keywords as subsequent input audio is being received. In another aspect of the method, the volume of the speech input can be continuously monitored. In a further aspect of the method, recognition results and associated confidence values can be combined to select different confirmatory prompts, and the volume is tailored to be the same as, louder than or quieter than the volume of the speech input, so that different types of confirmation can be automatically generated to produce a natural speech-enabled interface.
    • 一种用于在具有语音功能的交互式计算机系统中产生适当的确认提示的方法和装置。 该方法可以并入交互式语音响应系统中,该系统包括通过来自用户的语音信道接收输入音频流,对接收到的输入音频执行关键字识别,随后接收输入音频,并提示用户确认 正在接收随后的输入音频的关键字或关键字。 在该方法的另一方面,可以连续地监视语音输入的音量。 在该方法的另一方面,可以组合识别结果和相关联的置信度值以选择不同的确认提示,并且将体积定制为与语音输入的音量相比或更安静,使得不同的类型 可以自动生成确认,以产生自然语音使能的界面。
    • 3. 发明授权
    • Method and system for using input signal quality in speech recognition
    • 在语音识别中使用输入信号质量的方法和系统
    • US08000962B2
    • 2011-08-16
    • US11419330
    • 2006-05-19
    • John DoyleJohn Brian Pickering
    • John DoyleJohn Brian Pickering
    • G10L15/00
    • G10L15/08G10L15/20
    • A method and system for using input signal quality in an automatic speech recognition system. The method includes measuring the quality of an input signal into a speech recognition system and varying a rejection threshold of the speech recognition system at runtime in dependence on the measurement of the input signal quality. If the measurement of the input signal quality is low, the rejection threshold is reduced and, if the measurement of the input signal quality is high, the rejection threshold is increased. The measurement of the input signal quality may be based on one or more of the measurements of signal-to-noise ratio, loudness, including clipping, and speech signal duration.
    • 一种在自动语音识别系统中使用输入信号质量的方法和系统。 该方法包括测量输入信号到语音识别系统的质量,并根据输入信号质量的测量在运行时改变语音识别系统的拒绝阈值。 如果输入信号质量的测量值低,则拒绝阈值降低,如果输入信号质量的测量值高,则抑制阈值增加。 输入信号质量的测量可以基于信噪比,响度,包括限幅和语音信号持续时间的一个或多个测量。
    • 5. 发明授权
    • Speech recognition system with barge-in capability
    • 具有插入能力的语音识别系统
    • US06882973B1
    • 2005-04-19
    • US09696485
    • 2000-10-25
    • John Brian Pickering
    • John Brian Pickering
    • G10L15/22G10L21/06
    • G10L15/22G10L15/222
    • A voice processing system includes a speech recognition facility with barge-in. The system plays out a prompt to a caller, who starts to provide their spoken response while the prompt is still being played out. The system performs speech recognition on this response to determine a corresponding text, which is then subjected to lexical analysis. This tests whether the text satisfies one or more conditions, for example, including one or more words from a predefined set of task words. If this is found to be the case, the playing out of the prompt is terminated (i.e. barge-in is effected); otherwise, the playing out of the prompt is continued, essentially as if the caller bad not interrupted.
    • 语音处理系统包括具有插入的语音识别设备。 系统向呼叫者发出提示,当呼叫仍在播放时,他们开始提供口语响应。 系统对该响应执行语音识别以确定对应的文本,然后对其进行词法分析。 这将测试文本是否满足一个或多个条件,例如,包括来自预定义任务字集合的一个或多个单词。 如果发现是这种情况,则终止提示的播放(即进行加载); 否则,播放提示是继续的,本质上就好像呼叫者不好中断。
    • 7. 发明授权
    • Speech recognition system and method using a hidden markov model adapted
to recognize a number of words and trained to recognize a greater
number of phonetically dissimilar words.
    • 语音识别系统和使用隐马尔可夫模型的方法,其适于识别多个单词并训练得以识别更多数量的语音不相似的单词。
    • US5799278A
    • 1998-08-25
    • US673862
    • 1996-07-02
    • Michael CobbettJohn Brian Pickering
    • Michael CobbettJohn Brian Pickering
    • G10L15/06G10L15/14G10L5/00
    • G10L15/142G10L2015/0631
    • A speech recognition system for discrete words uses a single Hidden Markov Model (HMM), which is nominally adapted to recognise N different isolated words, but which is trained to recognise M different words, where M>N. This is achieved by providing M sets of audio recordings, each set comprising multiple recordings of a respective one of said M words being spoken. Only N different labels are assigned to the M sets of audio recordings, so that at least one of the N labels has two or more sets of audio recordings assigned thereto. These two or more sets of audio recordings correspond to phonetically dissimilar words. The HMM is then trained by inputting each set of audio recordings and its assigned label. The HMM can effectively compensate for the phonetic variations between the different words assigned the same label, thereby avoiding the need to utilise a larger model (i.e., to use M labels).
    • 用于离散词的语音识别系统使用单个隐马尔可夫模型(HMM),其名义上适用于识别N个不同的孤立词,但是被训练以识别M个不同词,其中M> N。 这通过提供M组音频记录来实现,每组音频记录包括被说出的所述M个字中的相应一个的多个记录。 只有N个不同的标签被分配给M组音频记录,使得N个标签中的至少一个具有分配给其的两组或更多组音频记录。 这两组或更多组的音频记录对应于语音不相似的单词。 然后通过输入每组音频记录及其分配的标签来训练HMM。 HMM可以有效地补偿分配相同标签的不同字之间的语音变化,从而避免使用更大的模型(即使用M个标签)的需要。
    • 9. 发明申请
    • ALERTS BASED ON SIGNIFICANCE OF FIXED FORMAT SMS TEXT MESSAGES
    • 基于固定格式SMS TEXT MESSAGES意义的警报
    • US20090111490A1
    • 2009-04-30
    • US11930266
    • 2007-10-31
    • David Rowland BellJohn Brian Pickering
    • David Rowland BellJohn Brian Pickering
    • H04Q7/20
    • H04M1/72552G06Q10/107
    • A method and system for processing a fixed format short message service (SMS) text message for alerting a user of a mobile phone to significant information in the message received by the mobile phone. Program code stored in memory on the mobile phone executes the method on a processor. A value of each preset variable of at least two preset variables is retrieved from the memory on the mobile phone. The mobile phone receives the message from a sender. The message is ascertained to be significant by ascertaining that the received message passes at least one test. Each test utilizes at least one aspect of the received message and the retrieved value of at least one preset variable. Responsive to the ascertaining, default handset settings of the mobile phone are overridden and the user is alerted by an audio tone or vibration that the received message is significant.
    • 一种用于处理固定格式短消息服务(SMS)文本消息的方法和系统,用于向移动电话的用户通知移动电话接收的消息中的重要信息。 存储在移动电话的存储器中的程序代码在处理器上执行该方法。 从移动电话上的存储器检索至少两个预设变量的每个预设变量的值。 移动电话从发送者接收消息。 通过确定所接收的消息通过至少一个测试来确定该消息是重要的。 每个测试利用接收到的消息的至少一个方面和至少一个预设变量的检索值。 响应于确定,手机的默认手机设置被覆盖,并且用户被收到的消息有重要的音频音或振动警报。
    • 10. 发明申请
    • COMPUTER GENERATED PROMPTING
    • 计算机生成
    • US20080273674A1
    • 2008-11-06
    • US12173260
    • 2008-07-15
    • George Murdoch ClellandJohn Brian Pickering
    • George Murdoch ClellandJohn Brian Pickering
    • H04M1/64
    • G10L15/22G10L15/222
    • A method and apparatus for generating appropriate confirmatory prompts in a speech-enabled, interactive computer system. The method can be incorporated in an interactive voice response system that includes receiving an input audio stream over a voice channel from a users, performing keyword recognition on received input audio as subsequent input audio is being received, and prompting the user with an acknowledgement of the keyword or keywords as subsequent input audio is being received. In another aspect of the method, the volume of the speech input can be continuously monitored. In a further aspect of the method, recognition results and associated confidence values can be combined to select different confirmatory prompts, and the volume is tailored to be the same as, louder than or quieter than the volume of the speech input, so that different types of confirmation can be automatically generated to produce a natural speech-enabled interface.
    • 一种用于在具有语音功能的交互式计算机系统中产生适当的确认提示的方法和装置。 该方法可以并入交互式语音响应系统中,该系统包括通过来自用户的语音信道接收输入音频流,对接收到的输入音频执行关键字识别,随后接收输入音频,并且提示用户确认 正在接收随后的输入音频的关键字或关键字。 在该方法的另一方面,可以连续地监视语音输入的音量。 在该方法的另一方面,可以组合识别结果和相关联的置信度值以选择不同的确认提示,并且将体积定制为与语音输入的音量相比或更安静,使得不同的类型 可以自动生成确认,以产生自然语音使能的界面。