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An Adaptive and Fast Speech Detection Algorithm

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  • First Online:
Text, Speech and Dialogue (TSD 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1902))

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Abstract

The detection of speech from silence (actually background noise) is essential in many speech-processing systems. In real-field applications, the correct determination of voice segments highly improves the overall system accuracy and minimises the total computation time. This paper1 presents a novel robust and reliable speech detection algorithm to be used in a speaker recognition system. The paper first introduces some basic concepts on speech activity detection and reviews the techniques currently used in speech detection tasks. Then, the proposed speech/non-speech detection algorithm is described and experimental results are discussed. Conclusions about the algorithm performances are finally presented.

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Authors and Affiliations

  1. Faculty of Electronics and Telecommunications, “Politehnica” University of Bucharest, Blvd. Iuliu Maniu 1-3, Sect. 6, Bucharest, 77202, Romania

    Dragos Burileanu, Lucian Pascalin & Corneliu Burileanu

  2. Graphco Technologies Inc. Romanian Office, CaleaFloreasca 91-111, Sect. 1, Bucharest, 714011, Romania

    Mihai Puchiu

Authors
  1. Dragos Burileanu
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  2. Lucian Pascalin
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  3. Corneliu Burileanu
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  4. Mihai Puchiu
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Editor information

Editors and Affiliations

  1. Faculty of Informatics Department of Programming Systems and Communication, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Petr Sojka

  2. Faculty of Informatics, Department of Information Technologies, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Ivan Kopeček  & Karel Pala  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Burileanu, D., Pascalin, L., Burileanu, C., Puchiu, M. (2000). An Adaptive and Fast Speech Detection Algorithm. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_30

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  • DOI: https://doi.org/10.1007/3-540-45323-7_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41042-3

  • Online ISBN: 978-3-540-45323-9

  • eBook Packages: Springer Book Archive

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