Performance Comparison of Korean Connected Digit Telephone Speech Recognition According to Aurora Feature Extraction

Aurora 특징파라미터 추출기법에 따른 한국어 연속숫자음 전화음성의 인식 성능 비교

To improve the recognition performance of Korean connected digit telephone speech, in this paper, both Aurora feature extraction method that employs noise reduction 2-state Wiener filter and DWFBA method are investigated and used. CMN and MRTCN are applied to static features for channel compensation. Telephone digit speech database released by SITEC is used for recognition experiments with HTK system. Experimental results has shown that Aurora feature is slightly better than MFCC and DWFBA without channel compensation. And when channel compensation is included, Aurora feature is slightly better than DWFBA with MRTCN.