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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.
Author (s): Kupryjanow, Adam; Czyzewski, Andrzej
Affiliation:
Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland
(See document for exact affiliation information.)
Publication Date:
2013-07-06
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Kupryjanow, Adam; Czyzewski, Andrzej; 2013; Real-Time Speech Signal Segmentation Methods [PDF]; Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=16868
Kupryjanow, Adam; Czyzewski, Andrzej; Real-Time Speech Signal Segmentation Methods [PDF]; Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland; Paper ; 2013 Available: https://aes2.org/publications/elibrary-page/?id=16868