Title :
Theoretical analysis of parametric blind spatial subtraction array and its application to speech recognition performance prediction
Author :
Miyazaki, Ryoichi ; Saruwatari, Hiroshi ; Wakisaka, Ryo ; Shikano, Kiyohiro ; Takatani, Tomoya
Author_Institution :
Nara Inst. of Sci. & Technol., Nara, Japan
fDate :
May 30 2011-June 1 2011
Abstract :
In this paper, an improved parametric postfiltering is introduced in our previously proposed blind spatial subtraction array (BSSA), and its theoretical analysis of the amounts of musical noise and noise reduction is conducted via higher-order statistics. Compared with the conventional BSSA, it is clarified that parametric BSSA can improve speech recognition performance. Next, we propose an unsupervised speech-recognition-performance prediction metric based on higher-order statistics in BSSA. We successfully reveal that the noise and speech kurtosis can be used for predicting speech recognition performance without using any reference speech signals.
Keywords :
Wiener filters; filtering theory; higher order statistics; signal denoising; speech recognition; higher-order statistics; musical noise; noise reduction; parametric blind spatial subtraction array; parametric postfiltering; quasi-parametric Wiener filter; reference speech signals; speech kurtosis; unsupervised speech-recognition-performance prediction metric; Accuracy; Gaussian noise; Noise reduction; Speech; Speech enhancement; Speech recognition; Higher-order statistics; Musical noise; Speech enhancement; Speech recognition performance prediction;
Conference_Titel :
Hands-free Speech Communication and Microphone Arrays (HSCMA), 2011 Joint Workshop on
Conference_Location :
Edinburgh
Print_ISBN :
978-1-4577-0997-5
DOI :
10.1109/HSCMA.2011.5942397
