NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
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.
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 October 16, 2025)