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1. 发明授权

US09230541B2 Keyword detection for speech recognition 有权
标题翻译：语音识别的关键字检测
公开(公告)号：US09230541B2
公开(公告)日：2016-01-05
申请号：US14567969
申请日：2014-12-11
申请人： Tencent Technology (Shenzhen) Company Limited
发明人： Lu Ll , Li Lu , Jianxiong Ma , Linghui Kong , Feng Rao , Shuai Yue , Xiang Zhang , Haibo Liu , Eryu Wang , Bo Chen
IPC分类号： G10L15/08
CPC分类号： G10L15/08 , G10L15/083 , G10L2015/088
摘要： This application discloses a method implemented of recognizing a keyword in a speech that includes a sequence of audio frames further including a current frame and a subsequent frame. A candidate keyword is determined for the current frame using a decoding network that includes keywords and filler words of multiple languages, and used to determine a confidence score for the audio frame sequence. A word option is also determined for the subsequent frame based on the decoding network, and when the candidate keyword and the word option are associated with two distinct types of languages, the confidence score of the audio frame sequence is updated at least based on a penalty factor associated with the two distinct types of languages. The audio frame sequence is then determined to include both the candidate keyword and the word option by evaluating the updated confidence score according to a keyword determination criterion.
摘要翻译：本申请公开了一种实现的方法，其中识别语音中的关键字，其中包括进一步包括当前帧和后续帧的音频帧序列。使用包括多种语言的关键词和填充词的解码网络为当前帧确定候选关键字，并且用于确定音频帧序列的置信度分数。还基于解码网络为后续帧确定字选项，并且当候选关键词和词选项与两种不同类型的语言相关联时，至少基于惩罚来更新音频帧序列的置信度得分与两种不同类型语言相关联的因素。然后通过根据关键字确定标准评估更新的可信度得分，确定音频帧序列以包括候选关键词和词选项。

2. 发明申请

US20150095032A1 Keyword Detection For Speech Recognition 有权
标题翻译：语音识别的关键字检测
公开(公告)号：US20150095032A1
公开(公告)日：2015-04-02
申请号：US14567969
申请日：2014-12-11
申请人： Tencent Technology (Shenzhen) Company Limited
发明人： Lu LI , Li Lu , Jianxiong Ma , Linghui Kong , Feng Rao , Shuai Yue , Xiang Zhang , Haibo Liu , Eryu Wang , Bo Chen
IPC分类号： G10L15/08
CPC分类号： G10L15/08 , G10L15/083 , G10L2015/088
摘要： This application discloses a method implemented of recognizing a keyword in a speech that includes a sequence of audio frames further including a current frame and a subsequent frame. A candidate keyword is determined for the current frame using a decoding network that includes keywords and filler words of multiple languages, and used to determine a confidence score for the audio frame sequence. A word option is also determined for the subsequent frame based on the decoding network, and when the candidate keyword and the word option are associated with two distinct types of languages, the confidence score of the audio frame sequence is updated at least based on a penalty factor associated with the two distinct types of languages. The audio frame sequence is then determined to include both the candidate keyword and the word option by evaluating the updated confidence score according to a keyword determination criterion.
摘要翻译：本申请公开了一种实现的方法，其中识别语音中的关键字，其中包括进一步包括当前帧和后续帧的音频帧序列。使用包括多种语言的关键词和填充词的解码网络为当前帧确定候选关键字，并且用于确定音频帧序列的置信度分数。还基于解码网络为后续帧确定字选项，并且当候选关键词和词选项与两种不同类型的语言相关联时，至少基于惩罚来更新音频帧序列的置信度得分与两种不同类型语言相关联的因素。然后通过根据关键字确定标准评估更新的可信度得分，确定音频帧序列以包括候选关键词和词选项。

3. 发明授权

US09355637B2 Method and apparatus for performing speech keyword retrieval 有权
标题翻译：执行语音关键词检索的方法和装置
公开(公告)号：US09355637B2
公开(公告)日：2016-05-31
申请号：US14620000
申请日：2015-02-11
申请人： Tencent Technology (Shenzhen) Company Limited
发明人： Jianxiong Ma , Lu Li , Li Lu , Xiang Zhang , Shuai Yue , Feng Rao , Eryu Wang , Linghui Kong
IPC分类号： G10L15/18 , G10L15/28 , G10L15/08 , G10L15/32
CPC分类号： G10L15/18 , G10L15/08 , G10L15/28 , G10L15/32 , G10L2015/088
摘要： A method and an apparatus are provided for retrieving keyword. The apparatus configures at least two types of language models in a model file, where each type of language model includes a recognition model and a corresponding decoding model; the apparatus extracts a speech feature from the to-be-processed speech data; performs language matching on the extracted speech feature by using recognition models in the model file one by one, and determines a recognition model based on a language matching rate; and determines a decoding model corresponding to the recognition model; decoding the extracted speech feature by using the determined decoding model, and obtains a word recognition result after the decoding; and matches a keyword in a keyword dictionary and the word recognition result, and outputs a matched keyword.
摘要翻译：提供了一种用于检索关键字的方法和装置。该装置在模型文件中配置至少两种类型的语言模型，其中每种类型的语言模型包括识别模型和相应的解码模型; 该设备从待处理语音数据中提取语音特征; 通过在模型文件中逐一使用识别模型对提取出的语音特征进行语言匹配，并根据语言匹配率确定识别模型; 并确定与识别模型相对应的解码模型; 通过使用所确定的解码模型来解码所提取的语音特征，并且在解码之后获得字识别结果; 并且将关键词字典中的关键字与单词识别结果进行匹配，并输出匹配的关键字。

4. 发明授权

US09257118B2 Method and apparatus for performing speech keyword retrieval 有权
公开(公告)号：US09257118B2
公开(公告)日：2016-02-09
申请号：US14620000
申请日：2015-02-11
申请人： Tencent Technology (Shenzhen) Company Limited
发明人： Jianxiong Ma , Lu Li , Li Lu , Xiang Zhang , Shuai Yue , Feng Rao , Eryu Wang , Linghui Kong
IPC分类号： G10L15/18 , G10L15/28 , G10L15/08 , G10L15/32
摘要： A method and an apparatus are provided for retrieving keyword. The apparatus configures at least two types of language models in a model file, where each type of language model includes a recognition model and a corresponding decoding model; the apparatus extracts a speech feature from the to-be-processed speech data; performs language matching on the extracted speech feature by using recognition models in the model file one by one, and determines a recognition model based on a language matching rate; and determines a decoding model corresponding to the recognition model; decoding the extracted speech feature by using the determined decoding model, and obtains a word recognition result after the decoding; and matches a keyword in a keyword dictionary and the word recognition result, and outputs a matched keyword.

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