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. © 2006 Springer-Verlag Berlin/Heidelberg.
CITATION STYLE
Xu, R., Mei, G., Ren, Z., Kwan, C., Aube, J., Rochet, C., & Stanford, V. (2006). Speaker identification and speech recognition using phased arrays. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3864 LNAI, pp. 227–238). https://doi.org/10.1007/11825890_11
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