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Speech and Crosstalk Detection for Robust Speech Recognition Using a Dual Microphone System

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Speech and Computer (SPECOM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8113))

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Abstract

This paper proposes a practical speech detection technique for robust automatic speech recognition, suitable for use under various interference conditions. This technique consists of a dual microphone system and an algorithm for processing their signals. The microphone module is placed in the workplace of the target speaker. The module consists of two symmetrical supercardioid microphones directed in opposite directions. The algorithm of target speaker detection is proposed for this scheme. This algorithm makes it possible to implement spatial filtering of speakers. Experiments with real recordings demonstrate a significant reduction of speech recognition errors for the target speaker due to suppression of acoustic crosstalk. The main advantage of the proposed technique is simplicity of its use in a wide range of practical situations.

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© 2013 Springer International Publishing Switzerland

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Stolbov, M., Tatarnikova, M. (2013). Speech and Crosstalk Detection for Robust Speech Recognition Using a Dual Microphone System. In: Železný, M., Habernal, I., Ronzhin, A. (eds) Speech and Computer. SPECOM 2013. Lecture Notes in Computer Science(), vol 8113. Springer, Cham. https://doi.org/10.1007/978-3-319-01931-4_41

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  • DOI: https://doi.org/10.1007/978-3-319-01931-4_41

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01930-7

  • Online ISBN: 978-3-319-01931-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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