Acoustic Signal Classification from Monaural Recordings

Acoustic Signal Classification from Monaural Recordings

Автор: Rupali Shete

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 3 vol.6, 2014 года.

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Acoustic domain contains signals related to sound. Speech and music though are included in this domain, both the signals differ with various features. Features used for speech separation does not provide sufficient cue for music separation. This paper covers musical sound separation for monaural recordings. A system is proposed to classify singing voice and music from monaural recordings. For classification, time and frequency domain features along with Mel Frequency Cepstral Coefficients (MFCC) applied to input signal. Information carried by these signals permit to establish results Quantitative experimental results shows that the system performs the separation task successfully in monaural environment.

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Speech/Music Signals, Speech/Music Classification Model, Segmentation

Короткий адрес: https://sciup.org/15010538

IDR: 15010538

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