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公开(公告)号：US07415414B2
公开(公告)日：2008-08-19
申请号：US10807009
申请日：2004-03-23
IPC分类号： G10L15/22
CPC分类号： G06F17/279
摘要： Techniques are provided for determining and using interaction models. Discourse functions, prosodic features and turn information are determined from the speech information in a training corpus. Statistics, decision trees, rules and/or various other methods are used to determine a predictive interaction model based on the discourse functions, the prosodic features and the turn information. Predictive interaction models are optionally determined for individual users, genres, languages and/or other characteristics of the speech information. The predictive interaction model is useable to predict turns in a dialogue based on the discourse functions and prosodic features identified in the speech information. Speech information is presented and/or received based on the predictive interaction model.
摘要翻译： 提供了确定和使用交互模型的技术。 话语功能，韵律特征和转向信息由训练语料库中的语音信息确定。 统计学，决策树，规则和/或各种其他方法被用于基于话语功能，韵律特征和转向信息来确定预测交互模型。 可选地针对个人用户，流派，语言和/或语音信息的其他特征来确定预测交互模型。 预测交互模型可用于基于语音信息中识别的话语功能和韵律特征来预测对话中的转折。 基于预测交互模型呈现和/或接收语音信息。
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2.发明授权公开(公告)号：US07542903B2
公开(公告)日：2009-06-02
申请号：US10781443
申请日：2004-02-18
CPC分类号： G06F17/279
摘要： Techniques are provided for determining predictive models of discourse functions based on prosodic features of natural language speech. Inter and intra sentential discourse functions in a training corpus of natural language speech utterances are determined. The discourse functions are clustered. The exemplary prosodic features associated with each type of discourse function are determined. Machine learning, observation and the like are used to determine a subset of prosodic features associated with each type of discourse function useful in predicting the likelihood of each type of discourse function.
摘要翻译： 提供了基于自然语言语言韵律特征来确定话语功能的预测模型的技术。 确定自然语言言语言训练语料库中的内部和内部话语功能。 话语功能是聚类的。 确定与各种话语功能相关联的示范性韵律特征。 机器学习，观察等用于确定与预测每种类型的话语功能的可能性有用的每种类型的话语功能相关联的韵律特征的子集。
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公开(公告)号：US07283958B2
公开(公告)日：2007-10-16
申请号：US10807532
申请日：2004-03-23
IPC分类号： G10L21/00
CPC分类号： G06F17/279
摘要： Techniques are provided for resolving ambiguity in natural language speech. Speech is recognized using automatic speech recognition. A theory of discourse analysis is determined and at least one set of candidate discourse functions is determined based on the theory of discourse analysis. Prosodic features in the speech and a correlation between the prosodic features and the discourse functions is determined. The sets of candidate discourse functions are ranked based on the prosodic features in the speech information and a correlation to the prosodic features expected for the determined discourse functions. Ambiguity is resolved between sets of candidate discourse functions based on the rank information.
摘要翻译： 提供了解决自然语言语言歧义的技巧。 使用自动语音识别识别语音。 确定话语分析理论，并根据话语分析理论确定至少一组候选话语功能。 言语中的韵律特征以及韵律特征与话语功能之间的相关性被确定。 基于语音信息中的韵律特征和与确定的话语功能预期的韵律特征的相关性，对候选语篇功能的集合进行排序。 基于等级信息来解决候选话语功能集之间的歧义。
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公开(公告)号：US20050182618A1
公开(公告)日：2005-08-18
申请号：US10807009
申请日：2004-03-23
CPC分类号： G06F17/279
摘要： Techniques are provided for determining and using interaction models. Discourse functions, prosodic features and turn information are determined from the speech information in a training corpus. Statistics, decision trees, rules and/or various other methods are used to determine a predictive interaction model based on the discourse functions, the prosodic features and the turn information. Predictive interaction models are optionally determined for individual users, genres, languages and/or other characteristics of the speech information. The predictive interaction model is useable to predict turns in a dialogue based on the discourse functions and prosodic features identified in the speech information. Speech information is presented and/or received based on the predictive interaction model.
摘要翻译： 提供了确定和使用交互模型的技术。 话语功能，韵律特征和转向信息由训练语料库中的语音信息确定。 统计学，决策树，规则和/或各种其他方法被用于基于话语功能，韵律特征和转向信息来确定预测交互模型。 可选地针对个人用户，流派，语言和/或语音信息的其他特征来确定预测交互模型。 预测交互模型可用于基于语音信息中识别的话语功能和韵律特征来预测对话中的转折。 基于预测交互模型呈现和/或接收语音信息。
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5.发明申请公开(公告)号：US20050182625A1
公开(公告)日：2005-08-18
申请号：US10781443
申请日：2004-02-18
CPC分类号： G06F17/279
摘要： Techniques are provided for determining predictive models of discourse functions based on prosodic features of natural language speech. Inter and intra sentential discourse functions in a training corpus of natural language speech utterances are determined. The discourse functions are clustered. The exemplary prosodic features associated with each type of discourse function are determined. Machine learning, observation and the like are used to determine a subset of prosodic features associated with each type of discourse function useful in predicting the likelihood of each type of discourse function.
摘要翻译： 提供了基于自然语言语言韵律特征来确定话语功能的预测模型的技术。 确定自然语言言语言训练语料库中的内部和内部话语功能。 话语功能是聚类的。 确定与各种话语功能相关联的示范性韵律特征。 机器学习，观察等用于确定与预测每种类型的话语功能的可能性有用的每种类型的话语功能相关联的韵律特征的子集。
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6.发明申请Systems and methods for synthesizing speech using discourse function level prosodic features 审中-公开使用话语功能级韵律特征合成语音的系统和方法公开(公告)号：US20050187772A1
公开(公告)日：2005-08-25
申请号：US10785199
申请日：2004-02-25
CPC分类号： G10L13/10
摘要： Techniques are provided for synthesizing speech using discourse function level prosodic features. An output text is determined. The discourse functions within the text are determined based on a theory of discourse analysis such as the Unified Linguistic Discourse Model. The salient prosodic features associated with the discourse functions are identified using a predictive model of discourse functions or some other model of salient prosodic features. The discourse functions are transformed into synthesized speech. Discourse function level prosodic feature adjustments are determined and applied to the synthesized speech is output.
摘要翻译： 提供了使用话语功能级韵律特征来合成语音的技术。 确定输出文本。 文本中的话语功能是基于话语分析理论（如统一语言话语模型）来确定的。 与话语功能相关的突出韵律特征使用话语功能的预测模型或其他一些显着的韵律特征模型进行识别。 话语功能被转化为合成语音。 话语功能水平韵律特征调整被确定并应用于合成语音输出。
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公开(公告)号：US20050182619A1
公开(公告)日：2005-08-18
申请号：US10807532
申请日：2004-03-23
CPC分类号： G06F17/279
摘要： Techniques are provided for resolving ambiguity in natural language speech. Speech is recognized using automatic speech recognition. A theory of discourse analysis is determined and at least one set of candidate discourse functions is determined based on the theory of discourse analysis. Prosodic features in the speech and a correlation between the prosodic features and the discourse functions is determined. The sets of candidate discourse functions are ranked based on the prosodic features in the speech information and a correlation to the prosodic features expected for the determined discourse functions. Ambiguity is resolved between sets of candidate discourse functions based on the rank information.
摘要翻译： 提供了解决自然语言语言歧义的技巧。 使用自动语音识别识别语音。 确定话语分析理论，并根据话语分析理论确定至少一组候选话语功能。 言语中的韵律特征以及韵律特征与话语功能之间的相关性被确定。 基于语音信息中的韵律特征和与确定的话语功能预期的韵律特征的相关性，对候选语篇功能的集合进行排序。 基于等级信息来解决候选话语功能集之间的歧义。
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