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An Adaptive and Fast Speech Detection Algorithm

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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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References

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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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