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Content Provider | IEEE Xplore Digital Library |
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Author | Shamlou, S.I. Geravanchizadeh, M. |
Copyright Year | 2012 |
Description | Author affiliation: Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz 5166615813, Iran (Shamlou, S.I.; Geravanchizadeh, M.) |
Abstract | Segregation of speech in presence of noise and other interferences is a challenging problem, especially in monaural case. Since accurate labeling of time-frequency (T-F) units has great impact on segregation results, in this paper we propose a new method for labeling T-F units in monaural voiced speech segregation which marks these units using envelope cross-channel correlation in the segmentation stage and label them with different features in low and high frequencies in the grouping stage. We use enhanced envelope autocorrelation function (EEACF) for labeling T-F units in the high frequency range. The evaluation of the system including subjective and objective criteria is done for different types of noise mixed with speech signals which shows better segregation results than conventional methods. |
Starting Page | 902 |
Ending Page | 906 |
File Size | 278502 |
Page Count | 5 |
File Format | |
ISBN | 9781467320726 |
e-ISBN | 9781467320733 |
DOI | 10.1109/ISTEL.2012.6483114 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-11-06 |
Publisher Place | Iran |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Time-frequency analysis Envelope Cross-Channel Correlation Enhanced Envelope Autocorrelation Function (EEACF) Correlation Voiced Speech Segregation Speech Feature extraction Labeling Computational Auditory Scene Analysis (CASA) Signal to noise ratio |
Content Type | Text |
Resource Type | Article |
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