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Towards User Sensitive Interfaces: Autodirective Speech Acquisition for Speaker Identification and Speech Recognition Using Phased Arrays

Author(s)

Vincent M. Stanford, Julien Aube, C Rochet, R. Xu, G. Mei, Z. Ren, C. Kwan

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.
Citation
Springer Lecture Notes in Computer Science

Keywords

User Sensitive Interface, Speaker Identification, Phased Arrays, Beamforming, Speech Processing, Speech Recognition

Citation

Stanford, V. , Aube, J. , Rochet, C. , Xu, R. , Mei, G. , Ren, Z. and Kwan, C. (1970), Towards User Sensitive Interfaces: Autodirective Speech Acquisition for Speaker Identification and Speech Recognition Using Phased Arrays, Springer Lecture Notes in Computer Science (Accessed April 19, 2024)
Created August 26, 2016, Updated January 27, 2020