Abstract
We summarize our research results on an innovative approach to making smart meeting rooms accessible to hands-free users. Specifically, we developed an autodirective system to acquire speech in a noisy room using a microphone array, and to identify the speech from a privileged speaker among others in real time. We successfully established that a commercial speaker-dependent speech recognition product could recognize beamformed speech acquired using our autodirective algorithm. We used the NIST Smart Flow System and the Mk-III microphone array developed by the National Institute of Standards and Technology to conduct our experiments.
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Xu, R. et al. (2006). Speaker Identification and Speech Recognition Using Phased Arrays. In: Cai, Y., Abascal, J. (eds) Ambient Intelligence in Everyday Life. Lecture Notes in Computer Science(), vol 3864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11825890_11
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DOI: https://doi.org/10.1007/11825890_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37785-6
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