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11.发明申请SYSTEMS AND METHODS FOR APPLYING SPEAKER ADAPTION TECHNIQUES TO CORRELATED FEATURES 有权将扬声器自适应技术应用于相关特性的系统和方法公开(公告)号：US20150161993A1
公开(公告)日：2015-06-11
申请号：US14314554
申请日：2014-06-25
Applicant: International Business Machines Corporation
Inventor： Tara N. Sainath , George A. Saon
Abstract: Systems and methods for applying feature-space maximum likelihood linear regression (fMLLR) to correlated features are provided. A method for applying fMLLR to correlated features, comprises mapping the correlated features into an uncorrelated feature space, applying fMLLR in the uncorrelated feature space to obtain fMLLR transformed features, and mapping the fMLLR transformed features back to a correlated feature space.
Abstract translation: 提供了将特征空间最大似然线性回归（fMLLR）应用于相关特征的系统和方法。 将fMLLR应用于相关特征的方法包括将相关特征映射到不相关的特征空间中，在不相关特征空间中应用fMLLR以获得fMLLR变换特征，以及将fMLLR变换特征映射回相关特征空间。
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Patent Agency Ranking
公开(公告)号：US09858919B2
公开(公告)日：2018-01-02
申请号：US14500042
申请日：2014-09-29
Applicant: International Business Machines Corporation
Inventor： George A. Saon
CPC classification number: G10L15/063 , G10L15/16 , G10L17/18
Abstract: A method includes providing a deep neural network acoustic model, receiving audio data including one or more utterances of a speaker, extracting a plurality of speech recognition features from the one or more utterances of the speaker, creating a speaker identity vector for the speaker based on the extracted speech recognition features, and adapting the deep neural network acoustic model for automatic speech recognition using the extracted speech recognition features and the speaker identity vector.
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公开(公告)号：US09697830B2
公开(公告)日：2017-07-04
申请号：US14750604
申请日：2015-06-25
Applicant: International Business Machines Corporation
Inventor： Brian E. D. Kingsbury , Lidia Mangu , Michael A. Picheny , George A. Saon
IPC: G10L15/00 , G10L15/193 , G10L15/08
CPC classification number: G10L15/193 , G10L2015/085 , G10L2015/088
Abstract: A method for spoken term detection, comprising generating a time-marked word list, wherein the time-marked word list is an output of an automatic speech recognition system, generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, receiving a plurality of keyword queries, and searching the index for a plurality of keyword hits.
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公开(公告)号：US20160267907A1
公开(公告)日：2016-09-15
申请号：US14750604
申请日：2015-06-25
Applicant: International Business Machines Corporation
Inventor： Brian E.D. Kingsbury , Lidia Mangu , Michael A. Picheny , George A. Saon
IPC: G10L15/197 , G10L15/193 , G10L15/26
CPC classification number: G10L15/193 , G10L2015/085 , G10L2015/088
Abstract: A method for spoken term detection, comprising generating a time-marked word list, wherein the time-marked word list is an output of an automatic speech recognition system, generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, receiving a plurality of keyword queries, and searching the index for a plurality of keyword hits.
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公开(公告)号：US20160267906A1
公开(公告)日：2016-09-15
申请号：US14644817
申请日：2015-03-11
Applicant: International Business Machines Corporation
Inventor： Brian E.D. Kingsbury , Lidia Mangu , Michael A. Picheny , George A. Saon
IPC: G10L15/197 , G10L15/193
CPC classification number: G10L15/193 , G10L2015/085 , G10L2015/088
Abstract: A method for spoken term detection, comprising generating a time-marked word list, wherein the time-marked word list is an output of an automatic speech recognition system, generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, receiving a plurality of keyword queries, and searching the index for a plurality of keyword hits.
Abstract translation: 一种用于语音词语检测的方法，包括产生时间标记词列表，其中所述时间标记词列表是自动语音识别系统的输出，从所述时间标记词列表生成索引，其中生成所述索引包括创建 用于每个话语的字循环加权有限状态换能器，i，接收多个关键词查询，以及搜索索引以获得多个关键字命中。
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公开(公告)号：US09373324B2
公开(公告)日：2016-06-21
申请号：US14314554
申请日：2014-06-25
Applicant: International Business Machines Corporation
Inventor： Tara N. Sainath , George A. Saon
Abstract: Systems and methods for applying feature-space maximum likelihood linear regression (fMLLR) to correlated features are provided. A method for applying fMLLR to correlated features, comprises mapping the correlated features into an uncorrelated feature space, applying fMLLR in the uncorrelated feature space to obtain fMLLR transformed features, and mapping the fMLLR transformed features back to a correlated feature space.
Abstract translation: 提供了将特征空间最大似然线性回归（fMLLR）应用于相关特征的系统和方法。 将fMLLR应用于相关特征的方法包括将相关特征映射到不相关的特征空间中，在不相关特征空间中应用fMLLR以获得fMLLR变换特征，以及将fMLLR变换特征映射回相关特征空间。
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