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MODEL ESTIMATION DEVICE, TARGET SOUND ENHANCEMENT DEVICE, MODEL ESTIMATION METHOD, AND MODEL ESTIMATION PROGRAM

机译:模型估计装置,目标声音增强装置,模型估计方法和模型估计程序

摘要

PROBLEM TO BE SOLVED: To achieve sound source separation with higher precision even when a reverberation time is long as compared with a frame length.;SOLUTION: A model estimation device 10A comprises a storage part which stores a parameter of a model for a mixture signal, including reverberation, including a regression matrix showing characteristics of reverberation due to sounds output from a plurality of sound sources. The model estimation device 10A estimates a mixture signal including no reverberation through linear prediction using an observation signal obtained by observing a sound by a plurality of microphones and a regression matrix stored in a storage part. The model estimation device 10A calculates a posterior probability corresponding to a sound source that each time frequency point belongs to from the estimated mixture signal. The model estimation device 10A estimates a parameter from the observation signal, the estimated mixture signal, posterior probability, and parameter stored in the storage part, and updates the parameter stored in the storage part with the estimated parameter. The model estimation device 10A repeats the signal estimation, clustering and parameter estimation until a predetermined condition is met.;SELECTED DRAWING: Figure 1;COPYRIGHT: (C)2016,JPO&INPIT
机译:解决的问题:即使在混响时间比帧长长的情况下,也能够以更高的精度实现声源分离。解决方案:模型估计装置10A包括存储用于混合信号的模型的参数的存储部。包括混响的“混响”包括表示由于从多个声源输出的声音而引起的混响特性的回归矩阵。模型估计装置10A使用通过多个​​麦克风观察声音而获得的观察信号和存储在存储部中的回归矩阵,通过线性预测来估计不包括混响的混合信号。模型估计装置10A从估计的混合信号计算与每个时间频率点所属的声源相对应的后验概率。模型估计装置10A根据观测信号,估计的混合信号,后验概率和存储在存储部中的参数来估计参数,并用估计的参数来更新存储在存储部中的参数。模型估计装置10A重复信号估计,聚类和参数估计,直到满足预定条件为止。;选择的图:图1;版权:(C)2016,JPO&INPIT

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