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21. 发明授权

US08234112B2 Apparatus and method for generating noise adaptive acoustic model for environment migration including noise adaptive discriminative adaptation method 有权
标题翻译：用于生成用于环境迁移的噪声自适应声学模型的装置和方法，包括噪声自适应识别适应方法
公开(公告)号：US08234112B2
公开(公告)日：2012-07-31
申请号：US12109932
申请日：2008-04-25
申请人： Byung Ok Kang , Ho Young Jung , Yun Keun Lee
发明人： Byung Ok Kang , Ho Young Jung , Yun Keun Lee
IPC分类号： G10L15/06
CPC分类号： G10L15/20
摘要： Provided are an apparatus and method for generating a noise adaptive acoustic model including a noise adaptive discriminative adaptation method. The method includes: generating a baseline model parameter from large-capacity speech training data including various noise environments; and receiving the generated baseline model parameter and applying a discriminative adaptation method to the generated results to generate an migrated acoustic model parameter suitable for an actually applied environment.
摘要翻译：提供了一种用于生成包括噪声自适应识别适应方法的噪声自适应声学模型的装置和方法。该方法包括：从包括各种噪声环境的大容量语音训练数据生成基线模型参数; 以及接收所生成的基线模型参数并将所述鉴别适应方法应用于所生成的结果以产生适用于实际应用环境的迁移的声学模型参数。

22. 发明申请

US20090076813A1 METHOD FOR SPEECH RECOGNITION USING UNCERTAINTY INFORMATION FOR SUB-BANDS IN NOISE ENVIRONMENT AND APPARATUS THEREOF 审中-公开
标题翻译：使用噪声环境中的子带不确定信息进行语音识别的方法及其设备
公开(公告)号：US20090076813A1
公开(公告)日：2009-03-19
申请号：US12138921
申请日：2008-06-13
申请人： Ho Young JUNG , Byung Ok Kang
发明人： Ho Young JUNG , Byung Ok Kang
IPC分类号： G10L15/20 , G10L15/00
CPC分类号： G10L15/20 , G10L25/18
摘要： According to a method and apparatus for speech recognition in noise environment of the present invention using uncertainty information for sub-band, uncertainty information of each sub-band is extracted from estimated clean speech using noise modeling, and helps to extract speech features that are robust to noise using the extracted uncertainty information as a weight with respect to each sub-band. Also, an acoustic model is converted according to each sub-band weight, and speech recognition is performed based on the converted acoustic model and the extracted speech features. As a result, while the noise modeling over time is not so accurate, noise influence resulted from sub-bands having high corruption can be reduced according to the uncertainty information of the corresponding sub-band, and speech recognition performance in complex noise environments can be improved.
摘要翻译：根据本发明的噪声环境中的用于语音识别的方法和装置，使用子带的不确定性信息，使用噪声建模从估计的清晰语音中提取每个子带的不确定性信息，并且有助于提取鲁棒的语音特征使用提取的不确定性信息作为相对于每个子带的权重的噪声。此外，根据每个子带权重转换声学模型，并且基于所转换的声学模型和所提取的语音特征来执行语音识别。结果，虽然随着时间的推移噪声建模不那么准确，但是可以根据相应子带的不确定性信息来减少具有高损坏的子带产生的噪声影响，并且复杂噪声环境中的语音识别性能可以是改进。

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