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변곡점 및 단구간 에너지평가에 의한 음성의 천이구간 특징분석
최일홍,장승관,차태호,최웅세,김창석 한국음성과학회 1998 음성과학 Vol.3 No.-
In this paper, I would like to propose a dividing method by estimating the inflection points and the average magnitude energy in speech signals. The method proposed in this paper gave not only a satisfactory solution for the problems on dividing method by zero-crossing rate, but could estimate the feature of the transient period after dividing the starting point and transient period in speech signals before steady state. In the results of the experiment carried out with monosyllable speech, it ws found that even through speech samples indicated in D.C. level, the staring and ending point of the speech signals were exactly divided by the method. In addition to the results, I could compare with the features, such as the length of transient period, the short term energy, the frequency characteristics, in each speech signal. Keywords: inflection points, speech signal, transient period, short-term energy
음성인식을 위한 복합형잡음제거필터와 최적특징추출에 관한 연구
차태호,장승관,최웅세,최일홍,김창석 한국음성과학회 1998 음성과학 Vol.4 No.2
In this paper, a novel method of noise reduction of speech based on a complex adaptive noise canceler and method of optimal feature extraction are proposed. this complex adaptive noise canceler needs simply the noise detection, and LMS algorithm used to calculate the adaptive filter coefficient. The method of optimal feature extraction requires the variance of noise. The experimental results have shown that the proposed method effectively reduced noise in noisy speech. Optimal feature extraction has shown similar characteristics in noise-free speech. Keywords : adaptive noise canceler, feature extraction, LMS algorithm