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1. 发明授权

US08515753B2 Acoustic model adaptation methods based on pronunciation variability analysis for enhancing the recognition of voice of non-native speaker and apparatus thereof 有权
标题翻译：基于发音变异性分析的声学模型适应方法，用于增强非母语者的声音识别及其装置
公开(公告)号：US08515753B2
公开(公告)日：2013-08-20
申请号：US12225801
申请日：2007-03-30
申请人： Hong Kook Kim , Yoo Rhee Oh , Jae Sam Yoon
发明人： Hong Kook Kim , Yoo Rhee Oh , Jae Sam Yoon
IPC分类号： G10L15/06
CPC分类号： G10L15/07
摘要： The example embodiment of the present invention provides an acoustic model adaptation method for enhancing recognition performance for a non-native speaker's speech. In order to adapt acoustic models, first, pronunciation variations are examined by analyzing a non-native speaker's speech. Thereafter, based on variation pronunciation of a non-native speaker's speech, acoustic models are adapted in a state-tying step during a training process of acoustic models. When the present invention for adapting acoustic models and a conventional acoustic model adaptation scheme are combined, more-enhanced recognition performance can be obtained. The example embodiment of the present invention enhances recognition performance for a non-native speaker's speech while reducing the degradation of recognition performance for a native speaker's speech.
摘要翻译：本发明的示例性实施例提供了一种用于增强非母语者语音的识别性能的声学模型适应方法。为了适应声学模型，首先，通过分析非母语者的语音来检查发音变化。此后，基于非母语者语音的变化发音，声学模型在声学模型的训练过程中在状态步骤中进行调整。当适合声学模型和常规声学模型适应方案的本发明被组合时，可以获得更加增强的识别性能。本发明的示例性实施例增强了非母语者语音的识别性能，同时降低了母语者语音识别性能的下降。

2. 发明申请

US20130013297A1 MESSAGE SERVICE METHOD USING SPEECH RECOGNITION 审中-公开
标题翻译：使用语音识别的消息服务方法
公开(公告)号：US20130013297A1
公开(公告)日：2013-01-10
申请号：US13542118
申请日：2012-07-05
申请人： Hwa Jeon SONG , YunKeun Lee , Jeon Gue Park , Jong Jin Kim , Ki-Young Park , Hoon Chung , Hyung-Bae Jeon , Ho Young Jung , Euisok Chung , Jeom Ja Kang , Byung Ok Kang , Sang Kyu Park , Sung Joo Lee , Yoo Rhee Oh
发明人： Hwa Jeon SONG , YunKeun Lee , Jeon Gue Park , Jong Jin Kim , Ki-Young Park , Hoon Chung , Hyung-Bae Jeon , Ho Young Jung , Euisok Chung , Jeom Ja Kang , Byung Ok Kang , Sang Kyu Park , Sung Joo Lee , Yoo Rhee Oh
IPC分类号： G10L15/00
CPC分类号： H04M1/72552 , G10L15/083 , G10L15/30 , H04M2250/74 , H04W4/12
摘要： A message service method using speech recognition includes a message server recognizing a speech transmitted from a transmission terminal, generating and transmitting a recognition result of the speech and N-best results based on a confusion network to the transmission terminal; if a message is selected through the recognition result and the N-best results and an evaluation result according to accuracy of the message are decided, the transmission terminal transmitting the message and the evaluation result to a reception terminal; and the reception terminal displaying the message and the evaluation result.
摘要翻译：使用语音识别的消息服务方法包括识别从发送终端发送的语音的消息服务器，基于混淆网络生成并发送语音的识别结果和N个最佳结果到发送终端; 如果通过识别结果选择了消息，并且确定了根据消息精度的N最佳结果和评估结果，则发送终端将消息和评估结果发送到接收终端; 接收终端显示消息和评估结果。

3. 发明申请

US20090119105A1 Acoustic Model Adaptation Methods Based on Pronunciation Variability Analysis for Enhancing the Recognition of Voice of Non-Native Speaker and Apparatus Thereof 有权
标题翻译：基于发音变异性分析的声学模型适应方法，用于增强非本体音箱及其设备的声音识别
公开(公告)号：US20090119105A1
公开(公告)日：2009-05-07
申请号：US12225801
申请日：2007-03-30
申请人： Hong Kook Kim , Yoo Rhee Oh , Jae Sam Yoon
发明人： Hong Kook Kim , Yoo Rhee Oh , Jae Sam Yoon
IPC分类号： G10L15/06
CPC分类号： G10L15/07
摘要： The example embodiment of the present invention provides an acoustic model adaptation method for enhancing recognition performance for a non-native speaker's speech. In order to adapt acoustic models, first, pronunciation variations are examined by analyzing a non-native speaker's speech. Thereafter, based on variation pronunciation of a non-native speaker's speech, acoustic models are adapted in a state-tying step during a training process of acoustic models. When the present invention for adapting acoustic models and a conventional acoustic model adaptation scheme are combined, more-enhanced recognition performance can be obtained. The example embodiment of the present invention enhances recognition performance for a non-native speaker's speech while reducing the degradation of recognition performance for a native speaker's speech.
摘要翻译：本发明的示例性实施例提供了一种用于增强非母语者语音的识别性能的声学模型适应方法。为了适应声学模型，首先，通过分析非母语者的语音来检查发音变化。此后，基于非母语者语音的变化发音，声学模型在声学模型的训练过程中在状态步骤中进行调整。当适合声学模型和常规声学模型适应方案的本发明被组合时，可以获得更加增强的识别性能。本发明的示例性实施例增强了非母语者语音的识别性能，同时降低了母语者语音识别性能的下降。

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