Developing the ETSI Aurora advanced distributed speech recognition front-end & What next?

被引:0
作者
Pearce, D [1 ]
机构
[1] Motorola Labs, Basingstoke, Hants, England
来源
ASRU 2001: IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, CONFERENCE PROCEEDINGS | 2001年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The ETSI STQ-Aurora DSR working group are developing the standard for the Advanced DSR front-end. One of the main goals of the advanced front-end is improved robustness to noise compared to the existing ETSI DSR standard for the Mel-Cepstrum front-end. The purpose of the paper is firstly to inform the wider speech research community about this activity and then to promote discussion on what further needs there are for DSR front-end standards. The scope of the DSR standard is described and the set of performance requirements that Aurora has specified for the Advanced Front-end. An important part of this the evaluation and characterisation of the performance of candidate front-ends on noisy databases and an overview of these is given. As the competition to select the best proposal draws to a close (submission deadline 28(th) Nov 2001) an interesting question is "what next?".
引用
收藏
页码:131 / 134
页数:4
相关论文
共 50 条
[1]   A complexity reduction of ETSI advanced front-end for DSR [J].
Li, JY ;
Liu, B ;
Wang, RH ;
Dai, LR .
2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS: SPEECH PROCESSING, 2004, :61-64
[2]   Efficient Noise-Robust Speech Recognition Front-End Based on the ETSI Standard [J].
Neves, Claudio ;
Veiga, Arlindo ;
Sa, Luis ;
Perdigao, Fernando .
ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS, 2008, :609-612
[3]   Improved ETSI Advanced Front-End for ASR Based on Robust Complex Speech Analysis [J].
Higa, Keita ;
Funaki, Keiichi .
2016 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2016,
[4]   Robust ASR Based on ETSI Advanced Front-End Using Complex Speech Analysis [J].
Higa, Keita ;
Funaki, Keiichi .
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2015, E98A (11) :2211-2219
[5]   Thin client front-end processor for distributed speech recognition [J].
Chow, KF ;
Liew, SC ;
Lua, KT .
2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SPEECH II; INDUSTRY TECHNOLOGY TRACKS; DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS; NEURAL NETWORKS FOR SIGNAL PROCESSING, 2003, :29-32
[6]   A Reassigned Front-End for Speech Recognition [J].
Tryfou, Georgina ;
Omologo, Maurizio .
2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2017, :553-557
[7]   Advanced Front-end for Robust Speech Recognition in Extremely Adverse Environments [J].
Dimitriadis, Dimitrios ;
Segura, Jose C. ;
Garcia, Luz ;
Potamianos, Alexandros ;
Maragos, Petros ;
Pitsikalis, Vassilis .
INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4, 2007, :2221-+
[8]   A noise-robust front-end for distributed speech recognition in mobile communications [J].
Addou, Djamel ;
Selouani, Sid-Ahmed ;
Kifaya, Kaoukeb ;
Boudraa, Malika ;
Boudraa, Bachir .
INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2007, 10 (04) :167-173
[9]   A robust front-end for telephone speech recognition [J].
Cho, HY ;
Chi, SM ;
Oh, YH .
PRICAI'98: TOPICS IN ARTIFICIAL INTELLIGENCE, 1998, 1531 :636-644
[10]   An efficient front-end for automatic speech recognition [J].
Ahadi, SM ;
Sheikhzadeh, H ;
Brennan, RL ;
Freeman, GH .
ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3, 2003, :128-131