한국어 숫자음 전화음성의 채널왜곡에 따른 특징파라미터의 변이 분석

Variation Analysis of Feature Parameters According to the Channel Distortion of Korean Telephone Digit Speech

The final purpose of this paper is the enhancement of speech recognition rate under the matched telephone environment between training data and test data. To analyze the effect by the distortion of the changing telephone channel on every call, MFCC is used as the feature parameter and CMN, RTCN, and RASTA are used as channel compensation techniques. For each case, the variation of feature parameters of all phones is analyzed. And, we find recognition rates according to each compensation method using the continuous HMM recognizer, and examine the relationship between variation and recognition rate.