Iterative Sinusoidal-based Partial Phase Reconstruction in Single-Channel Source Separation

TitleIterative Sinusoidal-based Partial Phase Reconstruction in Single-Channel Source Separation
Publication TypeConference Proceedings
Year of Publication2013
AuthorsMowlaee, P., & Watanabe M.
Conference Name14th Annual Conference of the International Speech Communication Association
Pages832-836
Date Published2013
Conference LocationLyon, France
KeywordsIterative signal reconstruction, partial phase estimation, single-channel source separation., sinusoidal model
Abstract

Partial phase reconstruction based on a confidence domain has recently been shown to provide improved signal reconstruction performance in a single-channel source separation scenario. In this paper, we replace the previous binarized fixed-threshold confidence domain with a new signal-dependent one estimated by employing a sinusoidal model to be applied on the estimated magnitude spectrum of the underlying sources in the mixture. We also extend the sinusoidal-based confidence domain into Multiple Input Spectrogram Inversion (MISI) framework, and we propose to re-distribute the remixing error at each iteration on the sinusoidal-signal components. Our experiments on both oracle and estimated spectra show that the proposed method achieves improved separation results at a lower number of iterations, making it as a favorable choice for faster phase estimation.

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URLhttps://www.isca-speech.org/archive/interspeech_2013/i13_0832.html
Citation Key2693
Refereed DesignationRefereed
AttachmentSize
INTERSPEECH2013_Matlab.rar28.65 KB