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International Journal of Speech Technology
Erschienen in: International Journal of Speech Technology 4/2017

23.10.2017

Single-channel speech separation using combined EMD and speech-specific information

verfasst von: M. K. Prasanna Kumar, R. Kumaraswamy

Erschienen in: International Journal of Speech Technology | Ausgabe 4/2017

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Abstract

Multi-channel blind source separation (BSS) methods use more than one microphone. There is a need to develop speech separation algorithms under single microphone scenario. In this paper we propose a method for single channel speech separation (SCSS) by combining empirical mode decomposition (EMD) and speech specific information. Speech specific information is derived in the form of source-filter features. Source features are obtained using multi pitch information. Filter information is estimated using formant analysis. To track multi pitch information in the mixed signal we apply simple-inverse filtering tracking (SIFT) and histogram based pitch estimation to excitation source information. Formant estimation is done using linear predictive (LP) analysis. Pitch and formant estimation are done with and without EMD decomposition for better extraction of the individual speakers in the mixture. Combining EMD with speech specific information provides encouraging results for single-channel speech separation.
Vorheriger Artikel Clean speech/speech with background music classification using HNGD spectrum
Nächster Artikel A voice command detection system for aerospace applications

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Metadaten
Titel
Single-channel speech separation using combined EMD and speech-specific information
verfasst von
M. K. Prasanna Kumar
R. Kumaraswamy
Publikationsdatum
23.10.2017
Verlag
Springer US
Erschienen in
International Journal of Speech Technology / Ausgabe 4/2017
Print ISSN: 1381-2416
Elektronische ISSN: 1572-8110
DOI
https://doi.org/10.1007/s10772-017-9468-3

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