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A fast algorithm for speech polarity detection using long-term linear prediction

Abhiram, B and Prathosh, AP and Ramakrishnan, AG (2014) A fast algorithm for speech polarity detection using long-term linear prediction. In: International Conference on Signal Processing and Communications (SPCOM), JUL 22-25, 2014, Banaglore, INDIA.

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Speech polarity detection is a crucial first step in many speech processing techniques. In this paper, an algorithm is proposed that improvises the existing technique using the skewness of the voice source (VS) signal. Here, the integrated linear prediction residual (ILPR) is used as the VS estimate, which is obtained using linear prediction on long-term frames of the low-pass filtered speech signal. This excludes the unvoiced regions from analysis and also reduces the computation. Further, a modified skewness measure is proposed for decision, which also considers the magnitude of the skewness of the ILPR along with its sign. With the detection error rate (DER) as the performance metric, the algorithm is tested on 8 large databases and its performance (DER=0.20%) is found to be comparable to that of the best technique (DER=0.06%) on both clean and noisy speech. Further, the proposed method is found to be ten times faster than the best technique.

Item Type: Conference Proceedings
Publisher: IEEE
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: speech polarity detection; voice source; integrated linear prediction residual; long-term linear prediction; weighted skewness
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 30 Dec 2015 06:07
Last Modified: 30 Dec 2015 06:07
URI: http://eprints.iisc.ac.in/id/eprint/52970

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