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SPEAKER ADAPTATION METHOD BASED ON JOINT BILINEAR TRANSFORMATION SPACE AND APPARATUS THEREFOR

机译:基于联合双线性变换空间的扬声器自适应方法及装置

摘要

PURPOSE: it is a kind of to be provided the uniform propulsion that same pedestal or model are shared in the heterogeneous speaker adaptation method between removing based on combination speaker adaptation bilinearity conversion space and its device, when execution speaker adaptation. ;CONSTITUTION: speaker model generates unit (110) and generates speaker SI (independence) model. Speaker model generates unit generation MLLR (transition matrix that maximum likelihood linearly returns) and passes through loudspeaker. Calculation matrix generation unit (120) generates two kinds of calculation matrix. Bilinearity converts spatial model and generates unit (132) generation bilinear transformation BITS (space) based on singular value decomposition SVD (pedestal). A kind of speaker adaptation model generation unit (140) generates speaker adaptation model according to the form of the SF of estimation. ;The 2013 of copyright KIPO submissions;[Reference numerals] (110) block 1; (111) speaker; (112) SI models; (113) modeling difference loudspeaker; (120) block 2; (130) block 3; (131) it generates bilinearity and converts space; (132) bilinearity converts spatial model; (140) block 4; (141) application combination converts space loudspeaker based on bilinearity; (142) speaker's adaptive pattern; (150) block 5; (AA) training data; (BB) 1 MLLR transition matrixes of speaker; (CC) speaker S MLLR transition matrixes; (DD) calculation matrix is generated; (EE) voice speaker adaptation; (FF) Te Site voices; (GG) speech recognition device; (HH) recognition result
机译:目的:在基于扬声器自适应双线性转换空间的去除与其设备之间的异质扬声器自适应方法中,在执行扬声器自适应时,提供相同基座或模型共享的统一推进力。 ;构成:说话者模型产生单元(110)并产生说话者SI(独立)模型。扬声器模型生成单元生成MLLR(最大似然线性返回的转换矩阵)并通过扬声器。计算矩阵生成单元(120)生成两种计算矩阵。双线性转换空间模型,并基于奇异值分解SVD(基台)生成单元(132),生成双线性变换BITS(空间)。一种说话者适应模型生成单元(140)根据估计SF的形式生成说话者适应模型。 ; 2013年版权KIPO提交文件; [参考数字](110)第1块; (111)扬声器; (112)SI模型; (113)建模差扬声器; (120)方块2; (130)方块3; (131)产生双线性并转换空间; (132)双线性转换空间模型; (140)方块4; (141)应用组合基于双线性来转换空间扬声器; (142)说话人的适应模式; (150)区块5; (AA)训练数据; (BB)1个扬声器的MLLR转换矩阵; (CC)扬声器S MLLR过渡矩阵; (DD)计算矩阵生成; (EE)语音扬声器适配; (FF)网站声音; (GG)语音识别装置; (HH)识别结果

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