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公开(公告)号:US20120109650A1
公开(公告)日:2012-05-03
申请号:US13284095
申请日:2011-10-28
申请人: Hoon-Young CHO , Young-Ik Kim , Il-Bin Lee , Seung-Hi Kim , Jun Park , Dong-Hyun Kim , Sang-Hun Kim
发明人: Hoon-Young CHO , Young-Ik Kim , Il-Bin Lee , Seung-Hi Kim , Jun Park , Dong-Hyun Kim , Sang-Hun Kim
IPC分类号: G10L15/14
CPC分类号: G10L15/144 , G10L15/285
摘要: Disclosed herein is an apparatus and method for creating an acoustic model. The apparatus includes a binary tree creation unit, an information creation unit, and a binary tree reduction unit. The binary tree creation unit creates a binary tree by repeatedly merging a plurality of Gaussian components for each Hidden Markov Model (HMM) state of an acoustic model based on a distance measure reflecting a variation in likelihood score. The information creation unit creates information about information about the largest size of the acoustic model in accordance with a platform including a speech recognizer. The binary tree reduction unit reduces the binary tree in accordance with the information about the largest size of the acoustic model.
摘要翻译: 本文公开了一种用于创建声学模型的装置和方法。 该装置包括二叉树创建单元,信息创建单元和二进制树缩小单元。 二叉树创建单元通过基于反映可能性得分的变化的距离度量反复地合并声学模型的每个隐马尔可夫模型(HMM)状态的多个高斯分量来创建二叉树。 信息创建单元根据包括语音识别器的平台创建关于声学模型的最大尺寸的信息。 二叉树缩小单元根据关于声学模型的最大尺寸的信息减少二叉树。
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公开(公告)号:US20100145680A1
公开(公告)日:2010-06-10
申请号:US12551812
申请日:2009-09-01
申请人: Seung YUN , Soo Jong Lee , Jeong Se Kim , Il Bin Lee , Jun Park , Sang Kyu Park
发明人: Seung YUN , Soo Jong Lee , Jeong Se Kim , Il Bin Lee , Jun Park , Sang Kyu Park
CPC分类号: G10L15/1815 , G10L15/183
摘要: A speech recognition method using a domain ontology includes: constructing domain ontology DB; forming a speech recognition grammar using the formed domain ontology DB; extracting a feature vector from a speech signal; modeling the speech signal using an acoustic model. The method performs speech recognition by using the acoustic model, the speech recognition dictionary and the speech recognition grammar on the basis of the feature vector.
摘要翻译: 使用域本体的语音识别方法包括:构建域本体DB; 使用形成的域本体DB形成语音识别语法; 从语音信号中提取特征向量; 使用声学模型对语音信号进行建模。 该方法基于特征向量,通过使用声学模型,语音识别字典和语音识别语法进行语音识别。
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公开(公告)号:US08504359B2
公开(公告)日:2013-08-06
申请号:US12551812
申请日:2009-09-01
申请人: Seung Yun , Soo Jong Lee , Jeong Se Kim , Il Bin Lee , Jun Park , Sang Kyu Park
发明人: Seung Yun , Soo Jong Lee , Jeong Se Kim , Il Bin Lee , Jun Park , Sang Kyu Park
IPC分类号: G10L15/00
CPC分类号: G10L15/1815 , G10L15/183
摘要: A speech recognition method using a domain ontology includes: constructing domain ontology DB; forming a speech recognition grammar using the formed domain ontology DB; extracting a feature vector from a speech signal; modeling the speech signal using an acoustic model. The method performs speech recognition by using the acoustic model, the speech recognition dictionary and the speech recognition grammar on the basis of the feature vector.
摘要翻译: 使用域本体的语音识别方法包括:构建域本体DB; 使用形成的域本体DB形成语音识别语法; 从语音信号中提取特征向量; 使用声学模型对语音信号进行建模。 该方法基于特征向量,通过使用声学模型,语音识别字典和语音识别语法进行语音识别。
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