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1.发明授权Computer-implemented systems and methods for scoring concatenated speech responses 有权计算机实现的系统和方法，用于评分级联的语音响应公开(公告)号：US09361908B2
公开(公告)日：2016-06-07
申请号：US13556439
申请日：2012-07-24
申请人： Klaus Zechner , Su-Youn Yoon , Lei Chen , Shasha Xie , Xiaoming Xi , Chaitanya Ramineni
发明人： Klaus Zechner , Su-Youn Yoon , Lei Chen , Shasha Xie , Xiaoming Xi , Chaitanya Ramineni
摘要： Systems and methods are provided for scoring non-native speech. Two or more speech samples are received, where each of the samples are of speech spoken by a non-native speaker, and where each of the samples are spoken in response to distinct prompts. The two or more samples are concatenated to generate a concatenated response for the non-native speaker, where the concatenated response is based on the two or more speech samples that were elicited using the distinct prompts. A concatenated speech proficiency metric is computed based on the concatenated response, and the concatenated speech proficiency metric is provided to a scoring model, where the scoring model generates a speaking score based on the concatenated speech metric.
摘要翻译： 提供系统和方法来评分非本地语音。 接收两个或更多个语音样本，其中每个样本是由非母语说话者说出的语音，并且其中每个样本响应于不同的提示而被说出。 两个或多个样本被连接以产生用于非母语者的连接响应，其中级联响应基于使用不同提示引出的两个或多个语音样本。 基于连接的响应来计算级联语音能力度量，并且将连接的语音能力度量提供给评分模型，其中评分模型基于级联的语音度量生成口语分数。
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2.发明申请Computer-Implemented Systems and Methods for Scoring Concatenated Speech Responses 有权计算机实现的系统和评估连贯语音响应的方法公开(公告)号：US20130030808A1
公开(公告)日：2013-01-31
申请号：US13556439
申请日：2012-07-24
申请人： Klaus Zechner , Su-Youn Yoon , Lei Chen , Shasha Xie , Xiaoming Xi , Chaitanya Ramineni
发明人： Klaus Zechner , Su-Youn Yoon , Lei Chen , Shasha Xie , Xiaoming Xi , Chaitanya Ramineni
IPC分类号： G10L15/00
摘要： Systems and methods are provided for scoring non-native speech. Two or more speech samples are received, where each of the samples are of speech spoken by a non-native speaker, and where each of the samples are spoken in response to distinct prompts. The two or more samples are concatenated to generate a concatenated response for the non-native speaker, where the concatenated response is based on the two or more speech samples that were elicited using the distinct prompts. A concatenated speech proficiency metric is computed based on the concatenated response, and the concatenated speech proficiency metric is provided to a scoring model, where the scoring model generates a speaking score based on the concatenated speech metric.
摘要翻译： 提供系统和方法来评分非本地语音。 接收两个或更多个语音样本，其中每个样本是由非母语说话者说出的语音，并且其中每个样本响应于不同的提示而被说出。 两个或多个样本被连接以产生用于非母语者的连接响应，其中级联响应基于使用不同提示引出的两个或多个语音样本。 基于连接的响应来计算级联语音能力度量，并且将连接的语音能力度量提供给评分模型，其中评分模型基于级联的语音度量生成口语分数。
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3.发明申请Processor Implemented Systems and Methods for Measuring Syntactic Complexity on Spontaneous Non-Native Speech Data by Using Structural Event Detection 审中-公开通过使用结构事件检测来测量自发非本地语音数据的语法复杂度的处理器实现的系统和方法公开(公告)号：US20110213610A1
公开(公告)日：2011-09-01
申请号：US13035428
申请日：2011-02-25
申请人： Lei Chen , Joel Tetreault , Xiaoming Xi , Klaus Zechner , Miao Chen , Su-Youn Yoon
发明人： Lei Chen , Joel Tetreault , Xiaoming Xi , Klaus Zechner , Miao Chen , Su-Youn Yoon
IPC分类号： G06F17/27
CPC分类号： G06F17/2775 , G06F17/2715 , G09B7/02 , G09B19/06 , G10L15/26 , G10L17/26
摘要： Systems and methods are provided for providing a score for a spontaneous non-native speech response to a prompt. A transcription of the spontaneous speech response is accessed. A plurality of clauses are identified within the spontaneous speech response, where identifying a clause includes identifying a beginning boundary and an end boundary of the clause in the spontaneous speech response. A plurality of disfluencies in the spontaneous speech response is identified. One or more proficiency metrics are calculated based on the plurality of identified clauses and the plurality of the identified disfluencies, and a score for the spontaneous speech response is generated based on the one or more proficiency metrics.
摘要翻译： 提供了系统和方法，用于为提示的自发非本地语音响应提供得分。 访问自发语音响应的转录。 在自发语音响应中识别出多个子句，其中识别子句包括在自发语音响应中识别该子句的开始边界和结束边界。 确定了自发性语音响应中的多个不利因素。 基于多个识别的条款和多个所识别的不一致性来计算一个或多个能力度量，并且基于一个或多个能力度量来生成用于自发语音响应的分数。
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公开(公告)号：US20120323573A1
公开(公告)日：2012-12-20
申请号：US13428448
申请日：2012-03-23
申请人： Su-Youn Yoon , Derrick Higgins , Klaus Zechner , Shasha Xie , Je Hun Jeon , Keelan Evanini
发明人： Su-Youn Yoon , Derrick Higgins , Klaus Zechner , Shasha Xie , Je Hun Jeon , Keelan Evanini
IPC分类号： G10L15/00
摘要： A method for scoring non-native speech includes receiving a speech sample spoken by a non-native speaker and performing automatic speech recognition and metric extraction on the speech sample to generate a transcript of the speech sample and a speech metric associated with the speech sample. The method further includes determining whether the speech sample is scorable or non-scorable based upon the transcript and speech metric, where the determination is based on an audio quality of the speech sample, an amount of speech of the speech sample, a degree to which the speech sample is off-topic, whether the speech sample includes speech from an incorrect language, or whether the speech sample includes plagiarized material. When the sample is determined to be non-scorable, an indication of non-scorability is associated with the speech sample. When the sample is determined to be scorable, the sample is provided to a scoring model for scoring.
摘要翻译： 用于对非本机语音进行评分的方法包括接收由非本地语音讲话者所说出的语音样本，并在语音样本上执行自动语音识别和度量提取，以产生语音样本的抄本和与语音样本相关联的语音度量。 该方法还包括基于抄本和语音度量确定语音样本是可划分的还是不可读的，其中确定是基于语音样本的音频质量，语音样本的语音量， 语音样本是脱离主题的，语音样本是否包含来自不正确语言的语音，或者言语样本是否包括剽窃材料。 当样本被确定为不可扫描时，不合格性的指示与语音样本相关联。 当样品被确定为可扫描时，将样品提供给评分模型进行评分。
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公开(公告)号：US08990082B2
公开(公告)日：2015-03-24
申请号：US13428448
申请日：2012-03-23
申请人： Su-Youn Yoon , Derrick Higgins , Klaus Zechner , Shasha Xie , Je Hun Jeon , Keelan Evanini
发明人： Su-Youn Yoon , Derrick Higgins , Klaus Zechner , Shasha Xie , Je Hun Jeon , Keelan Evanini
摘要： A method for scoring non-native speech includes receiving a speech sample spoken by a non-native speaker and performing automatic speech recognition and metric extraction on the speech sample to generate a transcript of the speech sample and a speech metric associated with the speech sample. The method further includes determining whether the speech sample is scorable or non-scorable based upon the transcript and speech metric, where the determination is based on an audio quality of the speech sample, an amount of speech of the speech sample, a degree to which the speech sample is off-topic, whether the speech sample includes speech from an incorrect language, or whether the speech sample includes plagiarized material. When the sample is determined to be non-scorable, an indication of non-scorability is associated with the speech sample. When the sample is determined to be scorable, the sample is provided to a scoring model for scoring.
摘要翻译： 用于对非本机语音进行评分的方法包括接收由非本地语音讲话者所说出的语音样本，并在语音样本上执行自动语音识别和度量提取，以产生语音样本的抄本和与语音样本相关联的语音度量。 该方法还包括基于抄本和语音度量确定语音样本是可划分的还是不可读的，其中确定是基于语音样本的音频质量，语音样本的语音量， 语音样本是脱离主题的，语音样本是否包含来自不正确语言的语音，或者言语样本是否包括剽窃材料。 当样本被确定为不可扫描时，不合格性的指示与语音样本相关联。 当样品被确定为可扫描时，将样品提供给评分模型进行评分。
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公开(公告)号：US09652999B2
公开(公告)日：2017-05-16
申请号：US13095980
申请日：2011-04-28
申请人： Su-Youn Yoon , Lei Chen , Klaus Zechner
发明人： Su-Youn Yoon , Lei Chen , Klaus Zechner
摘要： Systems and methods are provided for scoring non-native, spontaneous speech. A spontaneous speech sample is received, where the sample is of spontaneous speech spoken by a non-native speaker. Automatic speech recognition is performed on the sample using an automatic speech recognition system to generate a transcript of the sample, where a speech recognizer metric is determined by the automatic speech recognition system. A word accuracy rate estimate is determined for the transcript of the sample generated by the automatic speech recognition system based on the speech recognizer metric. The spontaneous speech sample is scored using a preferred scoring model when the word accuracy rate estimate satisfies a threshold, and the spontaneous speech sample is scored using an alternate scoring model when the word accuracy rate estimate fails to satisfy the threshold.
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7.发明申请Computer-Implemented Systems and Methods for Estimating Word Accuracy for Automatic Speech Recognition 有权计算机实现的系统和估计自动语音识别字准确度的方法公开(公告)号：US20110270612A1
公开(公告)日：2011-11-03
申请号：US13095980
申请日：2011-04-28
申请人： Su-Youn Yoon , Lei Chen , Klaus Zechner
发明人： Su-Youn Yoon , Lei Chen , Klaus Zechner
IPC分类号： G10L15/04
摘要： Systems and methods are provided for scoring non-native, spontaneous speech. A spontaneous speech sample is received, where the sample is of spontaneous speech spoken by a non-native speaker. Automatic speech recognition is performed on the sample using an automatic speech recognition system to generate a transcript of the sample, where a speech recognizer metric is determined by the automatic speech recognition system. A word accuracy rate estimate is determined for the transcript of the sample generated by the automatic speech recognition system based on the speech recognizer metric. The spontaneous speech sample is scored using a preferred scoring model when the word accuracy rate estimate satisfies a threshold, and the spontaneous speech sample is scored using an alternate scoring model when the word accuracy rate estimate fails to satisfy the threshold.
摘要翻译： 提供系统和方法，用于评分非本地的自发性言语。 接收到一个自发的语音样本，其中样本是由非母语者说出的自发语音。 使用自动语音识别系统对样本执行自动语音识别，以生成样本的转录，其中由自动语音识别系统确定语音识别器度量。 基于语音识别器度量，由自动语音识别系统生成的样本的抄本确定字准确率估计。 当字精度率估计满足阈值时，使用优选评分模型对自发语音样本进行评分，并且当字精度率估计不能满足阈值时，使用替代评分模型对自发语音样本进行评分。
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公开(公告)号：US08392190B2
公开(公告)日：2013-03-05
申请号：US12628611
申请日：2009-12-01
申请人： Lei Chen , Klaus Zechner , Xiaoming Xi
发明人： Lei Chen , Klaus Zechner , Xiaoming Xi
IPC分类号： G10L15/00
摘要： Computer-implemented systems and methods are provided for assessing non-native spontaneous speech pronunciation. Speech recognition on digitized speech is performed using a non-native acoustic model trained with non-native speech to generate word hypotheses for the digitized speech. Time alignment is performed between the digitized speech and the word hypotheses using a reference acoustic model trained with native-quality speech. Statistics are calculated regarding individual words and phonemes in the word hypotheses based on the alignment. A plurality of features for use in assessing pronunciation of the speech are calculated based on the statistics, an assessment score is calculated based on one or more of the calculated features, and the assessment score is stored in a computer-readable memory.
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公开(公告)号：US20100145698A1
公开(公告)日：2010-06-10
申请号：US12628611
申请日：2009-12-01
申请人： Lei Chen , Klaus Zechner , Xiaoming Xi
发明人： Lei Chen , Klaus Zechner , Xiaoming Xi
摘要： Computer-implemented systems and methods are provided for assessing non-native spontaneous speech pronunciation. Speech recognition on digitized speech is performed using a non-native acoustic model trained with non-native speech to generate word hypotheses for the digitized speech. Time alignment is performed between the digitized speech and the word hypotheses using a reference acoustic model trained with native-quality speech. Statistics are calculated regarding individual words and phonemes in the word hypotheses based on the alignment. A plurality of features for use in assessing pronunciation of the speech are calculated based on the statistics, an assessment score is calculated based on one or more of the calculated features, and the assessment score is stored in a computer-readable memory.
摘要翻译： 提供计算机实现的系统和方法来评估非本地自发语音发音。 使用非本地语音训练的非本地声学模型来执行数字化语音的语音识别，以生成用于数字化语音的词假说。 使用使用本地质量语音训练的参考声学模型，在数字化语音和单词假设之间执行时间校准。 基于对齐方式对单词假设中的单个单词和音素进行统计。 基于统计量计算用于评估语音发音的多个特征，基于所计算的特征中的一个或多个来计算评估分数，并且将评估分数存储在计算机可读存储器中。
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10.发明授权Computer-implemented systems and methods for evaluating prosodic features of speech 有权用于评估语音韵律特征的计算机实现的系统和方法公开(公告)号：US09087519B2
公开(公告)日：2015-07-21
申请号：US13424643
申请日：2012-03-20
申请人： Klaus Zechner , Xiaoming Xi
发明人： Klaus Zechner , Xiaoming Xi
摘要： Systems and methods are provided for scoring speech. A speech sample is received, where the speech sample is associated with a script. The speech sample is aligned with the script. An event recognition metric of the speech sample is extracted, and locations of prosodic events are detected in the speech sample based on the event recognition metric. The locations of the detected prosodic events are compared with locations of model prosodic events, where the locations of model prosodic events identify expected locations of prosodic events of a fluent, native speaker speaking the script. A prosodic event metric is calculated based on the comparison, and the speech sample is scored using a scoring model based upon the prosodic event metric.
摘要翻译： 系统和方法用于评分语音。 接收到语音样本，其中语音样本与脚本相关联。 语音样本与脚本对齐。 提取语音样本的事件识别度量，并且基于事件识别度量在语音样本中检测韵律事件的位置。 将检测到的韵律事件的位置与模型韵律事件的位置进行比较，其中模型韵律事件的位置识别讲话者的流利的母语的韵律事件的预期位置。 基于比较计算韵律事件度量，并且使用基于韵律事件度量的评分模型对语音样本进行评分。
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