スペクトルのローカルピークを使った日本語単語中の破裂子音の認識

概要

論文の詳細を見る
This paper describes the experiments on recognition of stop consonants in continuous speech by use of local spectral peaks. The spectrum obtained through a band pass filter bank is sampled every 10 ms. The sampled spectrum is represented by a binary valued vector in which every element denotes the presence or absence of a local peak. The frequency distribution of local spectral peaks in 40ms from the burst frame is transformed into the feature vector . And the conditional probability of the feature vector is used for the recognition . The experiments were carried out using 212 Japanese words uttered by 10 males and 10 females. The stop consonants are discriminated at a comparatively high rate using only the local spectral peaks. To improve the recognition rate for the unvoiced stops for the 10 male and 10 female speakers are 82. 6% and 79. 1% respectively, by the leaving-one-out experiments; those for the voiced stops are 74. 5% and 66. 1%. it turns out that the local spectral peaks and the temporal changes the spectra are very significant features for discriminating stop consonants.
社団法人日本音響学会の論文