Target Speech Segregation Using Non-parametric Correlation Feature Extraction in CASA System

Tae-woong Choi; Soon-Hyub Kim

doi:10.7776/ASK.2013.32.1.079

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2013 Vol.32, Issue 1 Preview Page Next Page

Target Speech Segregation Using Non-parametric Correlation Feature Extraction in CASA System CASA 시스템의 비모수적 상관 특징 추출을 이용한 목적 음성 분리

31 January 2013. pp. 79-85

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Abstract

Feature extraction of CASA system uses time continuity and channel similarity and makes correlogram of auditory elements for the use. In case of using feature extraction with cross correlation coefficient for channel similarity, it has much computational complexity in order to display correlation quantitatively. Therefore, this paper suggests feature extraction method using non-parametric correlation coefficient in order to reduce computational complexity when extracting the feature and tests to segregate target speech by CASA system. As a result of measuring SNR (Signal to Noise Ratio) for the performance evaluation of target speech segregation, the proposed method shows a slight improvement of 0.14 dB on average over the conventional method.

Keywords

CASA system

Feature extraction

Spearman correlation Coefficient

Target speech segregation

Speech recognition

CASA 시스템의 특징 추출은 시간의 연속성과 채널 간 유사성을 이용하여 청각 요소의 상관지도를 구성하여 사용한다. 채널 간 유사성을 교차 상관 계수를 이용하여 특징 추출 할 경우 상관성을 정량적으로 나타내기 위해 계산 량이 많은 단점이 있다. 따라서 본 논문에서는 특징 추출 시 계산 량을 줄이기 위한 방법으로 비모수적 상관 계수를 이용한 특징 추출 방법을 제안하고 이를 CASA 시스템을 통하여 목적 음성을 분리하는 실험을 수행하였다. 목적 음성의 분리 성능을 평가하기 위하여 신호 대 잡음비를 측정한 결과, 제안 방식이 기존 방식에 비해 평균 0.14 dB의 미세한 성능 개선을 보였다.

키워드

CASA 시스템

특징 추출

스피어만 상관계수

목적 음성 분리

음성 인식

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Information

Publisher :The Acoustical Society of Korea
Publisher(Ko) :한국음향학회
Journal Title :The Journal of the Acoustical Society of Korea
Journal Title(Ko) :한국음향학회지
Volume : 32
No :1
Pages :79-85
Received Date : 2012-09-20
Revised Date : 2012-10-25
Accepted Date : 2012-11-19
DOI :https://doi.org/10.7776/ASK.2013.32.1.079

The Journal of the Acoustical Society of KoreaISSN:1225-4428(Print) 2287-3775(Online)한국음향학회

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