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Real-Time Speech Signal Segmentation Methods

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Many researchers have developed algorithms for speech-signal segmentation in such applications as automatic speech recognition, speech coding, echo cancellation, automatic noise reduction, signal-to-noise ratio estimation, nonuniform time-scale modification, estimating the speech rate, automatic language identification, and speaker emotion recognition. Unlike algorithms that work offline, the authors developed two algorithms for real-time speech analysis as applied to detection of vowel-regions and estimation of speech rate. The accuracy, reliability, and real-time performance of these algorithms were evaluated in samples of Polish speech; experimental results showed that they performed equal to or better than existing offline approaches.

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JAES Volume 61 Issue 7/8 pp. 521-534; July 2013
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Permalink: http://www.aes.org/e-lib/browse.cfm?elib=16868

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AES - Audio Engineering Society