Byers, F.
(2020),
PSCR 2020_Speech Analytics for Public Safety, PSCR Stakeholder Meeting 2020: The Digital Experience, Boulder, CO, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=931293
(Accessed October 10, 2025)
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.
PSCR 2020_Speech Analytics for Public Safety
Published
Author(s)
Abstract
Evolving applications for public safety communications sometimes rely on speech analytic technologies. These include hands-free voice interface and situational awareness systems, for example. Underlying these types of applications are speech analytic technologies such as speech activity detection (SAD), automatic speech recognition (ASR) and keyword search (KWS). NIST has developed an evaluation infrastructure to measure the performance of these technologies in the context of public safety communications through formal evaluations using first-responder relevant data. This presentation describes the evaluation process and the metrics used in the evaluation.Conference Dates
July 28-30, 2020
Conference Location
Boulder, CO
Conference Title
PSCR Stakeholder Meeting 2020: The Digital Experience
Pub Type
Conferences
Download Paper
Keywords
speech analytics, speech activity detection, SAD, automatic speech recognition, ASR, keyword search, KWS, OpenSAT
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created October 28, 2020, Updated October 29, 2020