Developing a Speaker Identification System for the DARPA RATS Project

O Plchot, S Matsoukas, P Matejka, N Dehak, J Ma, S. Cumani, O Glembek, H Hermansky, SH Mallidi, N Mesgarani, R Schwartz, M Soufifar, Zheng-Hua Tan, S Thomas, B Zhang, X Zhou

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

37 Citations (Scopus)

Abstract

This paper describes the speaker identification (SID) 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 results using multiple
SID systems differing mainly in the algorithm used for voice
activity detection (VAD) and feature extraction. We show that (a)
unsupervised VAD performs as well supervised methods in terms
of downstream SID performance, (b) noise-robust feature extraction
methods such as CFCCs out-perform MFCC front-ends on noisy audio,
and (c) fusion of multiple systems provides 24% relative improvement
in EER compared to the single best system when using a
novel SVM-based fusion algorithm that uses side information such
as gender, language, and channel id.
Original languageEnglish
Title of host publicationAcoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Number of pages5
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Publication date2013
Pages6768 - 6772
ISBN (Print)978-1-4799-0356-6
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Acoustics, Speech, and Signal Processing - Vancouver, Canada
Duration: 26 May 201331 May 2013
Conference number: 38

Conference

Conference2013 IEEE International Conference on Acoustics, Speech, and Signal Processing
Number38
Country/TerritoryCanada
CityVancouver
Period26/05/201331/05/2013
SeriesI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

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