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1. 发明授权

US09361908B2 Computer-implemented systems and methods for scoring concatenated speech responses 有权
标题翻译：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
IPC分类号： G09B19/06 , G10L25/60 , G09B19/04 , G10L15/26
CPC分类号： G10L25/60 , G09B19/04 , G09B19/06 , G10L15/26
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。

2. 发明授权

US07778834B2 Method and system for assessing pronunciation difficulties of non-native speakers by entropy calculation 有权
标题翻译：通过熵计算评估非母语者的发音困难的方法和系统
公开(公告)号：US07778834B2
公开(公告)日：2010-08-17
申请号：US12189506
申请日：2008-08-11
申请人： Derrick Higgins , Klaus Zechner , Yoko Futagi , Rene Lawless
发明人： Derrick Higgins , Klaus Zechner , Yoko Futagi , Rene Lawless
IPC分类号： G10L11/00 , G10L17/00 , G10L15/04 , G10L15/18 , G10L13/00 , G10L13/08 , G10L21/06 , G10L21/00 , G06F17/27 , G09B19/00 , G09B19/04 , G09B7/00
CPC分类号： G09B19/06 , G10L15/19
摘要： The present disclosure presents a useful metric for assessing the relative difficulty which non-native speakers face in pronouncing a given utterance and a method and systems for using such a metric in the evaluation and assessment of the utterances of non-native speakers. In an embodiment, the metric may be based on both known sources of difficulty for language learners and a corpus-based measure of cross-language sound differences. The method may be applied to speakers who primarily speak a first language speaking utterances in any non-native second language.
摘要翻译：本公开提供了一种用于评估非母语者在发音给定语音时面临的相对困难的有用指标，以及在评估和评估非母语者话语中使用这种度量的方法和系统。在一个实施例中，度量可以基于用于语言学习者的已知的困难来源和基于语料库的跨语言音差的度量。该方法可以应用于主要以任何非本地第二语言讲第一语言说话的扬声器。

3. 发明申请

US20080249773A1 METHOD AND SYSTEM FOR THE AUTOMATIC GENERATION OF SPEECH FEATURES FOR SCORING HIGH ENTROPY SPEECH 有权
标题翻译：用于自动生成高分辨率语音的语音特征的方法和系统
公开(公告)号：US20080249773A1
公开(公告)日：2008-10-09
申请号：US12140209
申请日：2008-06-16
申请人： Isaac Bejar , Klaus Zechner
发明人： Isaac Bejar , Klaus Zechner
IPC分类号： G10L15/00
CPC分类号： G10L15/063
摘要： A method and system for automatically generating a scoring model for scoring a speech sample are disclosed. One or more training speech samples are received in response to a prompt. One or more speech features are determined for each of the training speech samples. A scoring model is then generated based on the speech features. At least one of the training speech samples may be a high entropy speech sample. An evaluation speech sample is received and a score is assigned to the evaluation speech sample using the scoring model. The evaluation speech sample may be a high entropy speech sample.
摘要翻译：公开了一种用于自动生成评分模型以评分语音样本的方法和系统。响应于提示接收一个或多个训练语音样本。为每个训练语音样本确定一个或多个语音特征。然后基于语音特征生成评分模型。训练语音样本中的至少一个可以是高熵语音样本。接收评估语音样本，并使用评分模型将得分分配给评估语音样本。评估语音样本可以是高熵语音样本。

4. 发明授权

US07392187B2 Method and system for the automatic generation of speech features for scoring high entropy speech 有权
标题翻译：用于自动生成语音特征的方法和系统，用于评分高熵语音
公开(公告)号：US07392187B2
公开(公告)日：2008-06-24
申请号：US10945150
申请日：2004-09-20
申请人： Isaac Bejar , Klaus Zechner
发明人： Isaac Bejar , Klaus Zechner
IPC分类号： G10L15/00
CPC分类号： G10L15/063
摘要： A method and system for automatically generating a scoring model for scoring a speech sample are disclosed. One or more training speech samples are received in response to a prompt. One or more speech features are determined for each of the training speech samples. A scoring model is then generated based on the speech features. At least one of the training speech samples may be a high entropy speech sample. An evaluation speech sample is received and a score is assigned to the evaluation speech sample using the scoring model. The evaluation speech sample may be a high entropy speech sample.
摘要翻译：公开了一种用于自动生成评分模型以评分语音样本的方法和系统。响应于提示接收一个或多个训练语音样本。为每个训练语音样本确定一个或多个语音特征。然后基于语音特征生成评分模型。训练语音样本中的至少一个可以是高熵语音样本。接收评估语音样本，并使用评分模型将得分分配给评估语音样本。评估语音样本可以是高熵语音样本。

5. 发明授权

US08990082B2 Non-scorable response filters for speech scoring systems 有权
标题翻译：用于语音评分系统的不可评估的响应过滤器
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
IPC分类号： G10L15/00 , G09B19/06 , G10L25/60 , G10L15/26 , G10L25/78 , G10L25/90
CPC分类号： G09B19/06 , G10L15/005 , G10L15/26 , G10L25/60 , G10L25/78 , G10L25/90
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。

6. 发明申请

US20130030808A1 Computer-Implemented Systems and Methods for Scoring Concatenated Speech Responses 有权
标题翻译：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
CPC分类号： G10L25/60 , G09B19/04 , G09B19/06 , G10L15/26
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。

7. 发明授权

US08209173B2 Method and system for the automatic generation of speech features for scoring high entropy speech 有权
标题翻译：用于自动生成语音特征的方法和系统，用于评分高熵语音
公开(公告)号：US08209173B2
公开(公告)日：2012-06-26
申请号：US12140209
申请日：2008-06-16
申请人： Isaac Bejar , Klaus Zechner
发明人： Isaac Bejar , Klaus Zechner
IPC分类号： G10L15/06
CPC分类号： G10L15/063
摘要： A method and system for automatically generating a scoring model for scoring a speech sample are disclosed. One or more training speech samples are received in response to a prompt. One or more speech features are determined for each of the training speech samples. A scoring model is then generated based on the speech features. At least one of the training speech samples may be a high entropy speech sample. An evaluation speech sample is received and a score is assigned to the evaluation speech sample using the scoring model. The evaluation speech sample may be a high entropy speech sample.
摘要翻译：公开了一种用于自动生成评分模型以评分语音样本的方法和系统。响应于提示接收一个或多个训练语音样本。为每个训练语音样本确定一个或多个语音特征。然后基于语音特征生成评分模型。训练语音样本中的至少一个可以是高熵语音样本。接收评估语音样本，并使用评分模型将得分分配给评估语音样本。评估语音样本可以是高熵语音样本。

8. 发明授权

US09652999B2 Computer-implemented systems and methods for estimating word accuracy for automatic speech recognition 有权
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
IPC分类号： G10L15/26 , G10L15/32 , G09B19/04 , G09B19/06
CPC分类号： G09B19/06 , G09B19/04 , G10L15/26 , G10L15/32
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.

9. 发明申请

US20110270612A1 Computer-Implemented Systems and Methods for Estimating Word Accuracy for Automatic Speech Recognition 有权
标题翻译：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
CPC分类号： G09B19/06 , G09B19/04 , G10L15/26 , G10L15/32
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。

10. 发明授权

US07840404B2 Method and system for using automatic generation of speech features to provide diagnostic feedback 有权
标题翻译：使用自动生成语音特征的方法和系统来提供诊断反馈
公开(公告)号：US07840404B2
公开(公告)日：2010-11-23
申请号：US11678508
申请日：2007-02-23
申请人： Xiaoming Xi , Klaus Zechner , Isaac Bejar
发明人： Xiaoming Xi , Klaus Zechner , Isaac Bejar
IPC分类号： G10L15/00
CPC分类号： G09B19/04 , G10L15/26
摘要： A method and system for providing immediate diagnostic feedback on speech samples of non-native speakers are disclosed. A scoring model is generated based on speech features extracted from one or more training speech samples. An evaluation speech sample is received and speech features of the evaluation speech sample are determined. Based on the scoring model and the speech features, diagnostic feedback is provided to the speaker. In an alternate embodiment, speech features are extracted from an evaluation speech sample. The speech features are then compared with optimal values, ranges of values, or norms for those features. Based on the result of the comparison, diagnostic feedback is provided to the speaker.
摘要翻译：公开了一种用于提供对非母语者语音样本的立即诊断反馈的方法和系统。基于从一个或多个训练语音样本提取的语音特征产生评分模型。接收评估语音样本，并确定评估语音样本的语音特征。基于评分模型和语音特征，向讲话者提供诊断反馈。在替代实施例中，从评估语音样本中提取语音特征。然后将语音特征与这些特征的最佳值，值范围或规范进行比较。基于比较的结果，向讲话者提供诊断反馈。

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