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INTERSPEECH 2010, 11th Annual Conference of the International Speech Communication Association, Makuhari, Chiba, Japan, September 26-30, 2010; 01/2010
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IEICE Transactions. 01/2009; 92-D:1596-1600.
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ABSTRACT: This paper describes a study of subjective criteria for untrained singerspsila singing voice quality evaluation, focusing on the perceptual aspects that have relatively strong acoustic implications. And the correlation among the individual perceptual criteria is also investigated. A SVM regression method is applied to find the importance of every evaluation criterion. Experiments on a 200 singing clips dataset are conducted to give promising results. And probable acoustic cues are introduced for a future prospect.
Signal Processing, 2008. ICSP 2008. 9th International Conference on; 11/2008
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INTERSPEECH 2008, 9th Annual Conference of the International Speech Communication Association, Brisbane, Australia, September 22-26, 2008; 01/2008
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INTERSPEECH 2008, 9th Annual Conference of the International Speech Communication Association, Brisbane, Australia, September 22-26, 2008; 01/2008
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Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007, Vienna, Austria, September 23-27, 2007; 01/2007
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ABSTRACT: This paper describes our method for the MIREX 2007 "Multiple Fundamental Frequency Estimation & Track-ing" task in which the goal is to identify the active F0s in each time frame and to track notes and timbres continu-ously in a complex music signal. The introduced method is based on subharmonic-summation pitch estimation met-hod and a spectrum cancelation algorithm. Our algorithm concentrates on the frame-level transcription, so the sub-mission is only for "Task 1".
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ABSTRACT: This paper proposes a novel feature set for robust speaker recognition, which is based on the harmonic structure of speech signals. Channel modulation effects are supposed to be weakened in the harmonic structure features, and furthermore the influence introduced by channel variability could be diminished to a certain degree. Though experiment results show that the raw performance of the harmonic structure features is not better than our baseline system due to some inevitable information lost, significant improvement of average 9.85% relative minCost decrease has been made by a score fusion approach with baseline features.
Information Science and Engieering, International Symposium on.