Conference paper

NG Tim, ZHANG Bing, NGUYEN Long, MATSOUKAS Spyros, ZHOU Xinhui, MESGARANI Nima, VESELÝ Karel and MATĚJKA Pavel. Developing a Speech Activity Detection System for the DARPA RATS Program. In: Proceedings of Interspeech 2012. Portland, Oregon: International Speech Communication Association, 2012, pp. 1-4. ISBN 978-1-62276-759-5. ISSN 1990-9772. Available from: http://www.isca-speech.org/archive/interspeech_2012/i12_1969.html
Publication language:english
Original title:Developing a Speech Activity Detection System for the DARPA RATS Program
Title (cs):Vývoj systému pro detekci řečové aktivity pro program DARPA RATS
Pages:1-4
Proceedings:Proceedings of Interspeech 2012
Conference:Interspeech 2012
Place:Portland, Oregon, US
Year:2012
URL:http://www.isca-speech.org/archive/interspeech_2012/i12_1969.html
ISBN:978-1-62276-759-5
Journal:Proceedings of Interspeech, Vol. 2012, No. 9, FR
ISSN:1990-9772
Publisher:International Speech Communication Association
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2012/ng_interspeech2012_1052_pp_1_4.pdf [PDF]
Keywords
speech activity detection, noisy speech
Annotation
In this paper we present the SAD system developed by the Patrol team for the DARPA RATS phase 1 evaluation. The system achieves high accuracy on audio from noisy radio communication channels.
Abstract
This paper describes the speech activity detection (SAD) system developed by the Patrol team for the first phase of the DARPA RATS (Robust Automatic Transcription of Speech) program, which seeks to advance state of the art detection capabilities on audio from highly degraded communication channels. We present two approaches to SAD, one based on Gaussian mixture models, and one based on multi-layer perceptrons. We show that significant gains in SAD accuracy can be obtained by careful design of acoustic front end, feature normalization, incorporation of long span features via data-driven dimensionality reducing transforms, and channel dependent modeling. We also present a novel technique for normalizing detection scores from different systems for the purpose of system combination.
BibTeX:
@INPROCEEDINGS{
   author = {Tim Ng and Bing Zhang and Long Nguyen and Spyros Matsoukas
	and Xinhui Zhou and Nima Mesgarani and Karel Vesel{\'{y}}
	and Pavel Mat{\v{e}}jka},
   title = {Developing a Speech Activity Detection System for the DARPA
	RATS Program},
   pages = {1--4},
   booktitle = {Proceedings of Interspeech 2012},
   journal = {Proceedings of Interspeech},
   volume = {2012},
   number = {9},
   year = {2012},
   location = {Portland, Oregon, US},
   publisher = {International Speech Communication Association},
   ISBN = {978-1-62276-759-5},
   ISSN = {1990-9772},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10099}
}

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