Analysis of algorithm of audio wave coding on the basis of spectrograms
Автор: Zharkikh A.A., Pavlov I.A.
Журнал: Вестник Мурманского государственного технического университета @vestnik-mstu
Статья в выпуске: 2 т.12, 2009 года.
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In this work the algorithm of audio wave coding (AAWC) and the algorithm of audio wave recovery after AAWC for storing this wave and its playback have been considered. The set of features extracted on the base of AAWC have been described. This set contains the vector of constant-sign intervals and the vector of global extremes on each of these intervals. The possibility of using this set in the audio signals recognition system has been analyzed. On the base of various factors the comparison of source audio signal and signal recovered after AAWC has been realized.
Audio signals recognition, speech recognition, isolated words recognition, informative features, algorithm of audio wave coding, discrete fourier transform, spectrogram, time-domain analysis, frequency-domain analysis
Короткий адрес: https://sciup.org/14294045
IDR: 14294045
