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Beyond Close Talk - Issues in Distant Speech Acquisition, Conditioning Classification, and Recognition

Published

Author(s)

Vincent M. Stanford, C. Rochet, Martial Michel, John S. Garofolo

Abstract

Properly designed reference data and performance metrics can offer crucial aid to developers of advanced statistical recognition technologies. We focus here on audio data acquisition from close-talk, near field, and far field sensors, and upon its processing, and its metrology. Our intention is to support the research community as it develops state of the art data acquisition and multimodal processing algorithms by supplying standard reference data, metrics, and sharable infrastructure.
Citation
Special Publication (NIST SP) - 500-257
Report Number
500-257

Citation

Stanford, V. , Rochet, C. , Michel, M. and Garofolo, J. (2006), Beyond Close Talk - Issues in Distant Speech Acquisition, Conditioning Classification, and Recognition, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.500-257, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=50274 (Accessed May 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created March 16, 2006, Updated October 12, 2021