Real-time speech recognition in a multi-talker reverberated acoustic scenario

Rudy Rotili; Emanuele Principi; Stefano Squartini; Björn Schuller

doi:10.1007/978-3-642-25944-9_49

Real-time speech recognition in a multi-talker reverberated acoustic scenario

Rudy Rotili, Emanuele Principi, Stefano Squartini, Björn Schuller

Chair of Health Informatics

Università di Ancona

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This paper proposes a real-time algorithmic framework for Automatic Speech Recognition (ASR) in presence of multiple sources in reverberated environment. The addressed real-life acoustic scenario definitely asks for a robust signal processing solution to reduce the impact of source mixing and reverberation on ASR performances. Here the authors show how the implemented approach allows to improve recognition accuracies under real-time processing constraints and overlapping distant-talking speakers. A suitable database has been generated on purpose, by adapting an existing large vocabulary continuous speech recognition (LVCSR) corpus to deal with the acoustic conditions under study.

Original language	English
Title of host publication	Advanced Intelligent Computing Theories and Applications
Subtitle of host publication	With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011 - Revised Selected Papers
Pages	379-386
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-25944-9_49
State	Published - 2011
Event	7th International Conference on Intelligent Computing, ICIC 2011 - Zhengzhou, China Duration: 11 Aug 2011 → 14 Aug 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6839 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Intelligent Computing, ICIC 2011
Country/Territory	China
City	Zhengzhou
Period	11/08/11 → 14/08/11

Keywords

Automatic Speech Recognition
Blind Source Separation
NU-Tech
Real-time Signal Processing
Speech Dereverberation

Access to Document

10.1007/978-3-642-25944-9_49

Cite this

Rotili, R., Principi, E., Squartini, S., & Schuller, B. (2011). Real-time speech recognition in a multi-talker reverberated acoustic scenario. In Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011 - Revised Selected Papers (pp. 379-386). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6839 LNAI). https://doi.org/10.1007/978-3-642-25944-9_49

Rotili, Rudy ; Principi, Emanuele ; Squartini, Stefano et al. / Real-time speech recognition in a multi-talker reverberated acoustic scenario. Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011 - Revised Selected Papers. 2011. pp. 379-386 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{f263c5102e05453e80ed6c403af8a669,

title = "Real-time speech recognition in a multi-talker reverberated acoustic scenario",

abstract = "This paper proposes a real-time algorithmic framework for Automatic Speech Recognition (ASR) in presence of multiple sources in reverberated environment. The addressed real-life acoustic scenario definitely asks for a robust signal processing solution to reduce the impact of source mixing and reverberation on ASR performances. Here the authors show how the implemented approach allows to improve recognition accuracies under real-time processing constraints and overlapping distant-talking speakers. A suitable database has been generated on purpose, by adapting an existing large vocabulary continuous speech recognition (LVCSR) corpus to deal with the acoustic conditions under study.",

keywords = "Automatic Speech Recognition, Blind Source Separation, NU-Tech, Real-time Signal Processing, Speech Dereverberation",

author = "Rudy Rotili and Emanuele Principi and Stefano Squartini and Bj{\"o}rn Schuller",

year = "2011",

doi = "10.1007/978-3-642-25944-9_49",

language = "English",

isbn = "9783642259432",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "379--386",

booktitle = "Advanced Intelligent Computing Theories and Applications",

note = "7th International Conference on Intelligent Computing, ICIC 2011 ; Conference date: 11-08-2011 Through 14-08-2011",

}

Rotili, R, Principi, E, Squartini, S & Schuller, B 2011, Real-time speech recognition in a multi-talker reverberated acoustic scenario. in Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011 - Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6839 LNAI, pp. 379-386, 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou, China, 11/08/11. https://doi.org/10.1007/978-3-642-25944-9_49

Real-time speech recognition in a multi-talker reverberated acoustic scenario. / Rotili, Rudy; Principi, Emanuele; Squartini, Stefano et al.
Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011 - Revised Selected Papers. 2011. p. 379-386 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6839 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-time speech recognition in a multi-talker reverberated acoustic scenario

AU - Rotili, Rudy

AU - Principi, Emanuele

AU - Squartini, Stefano

AU - Schuller, Björn

PY - 2011

Y1 - 2011

N2 - This paper proposes a real-time algorithmic framework for Automatic Speech Recognition (ASR) in presence of multiple sources in reverberated environment. The addressed real-life acoustic scenario definitely asks for a robust signal processing solution to reduce the impact of source mixing and reverberation on ASR performances. Here the authors show how the implemented approach allows to improve recognition accuracies under real-time processing constraints and overlapping distant-talking speakers. A suitable database has been generated on purpose, by adapting an existing large vocabulary continuous speech recognition (LVCSR) corpus to deal with the acoustic conditions under study.

AB - This paper proposes a real-time algorithmic framework for Automatic Speech Recognition (ASR) in presence of multiple sources in reverberated environment. The addressed real-life acoustic scenario definitely asks for a robust signal processing solution to reduce the impact of source mixing and reverberation on ASR performances. Here the authors show how the implemented approach allows to improve recognition accuracies under real-time processing constraints and overlapping distant-talking speakers. A suitable database has been generated on purpose, by adapting an existing large vocabulary continuous speech recognition (LVCSR) corpus to deal with the acoustic conditions under study.

KW - Automatic Speech Recognition

KW - Blind Source Separation

KW - NU-Tech

KW - Real-time Signal Processing

KW - Speech Dereverberation

UR - http://www.scopus.com/inward/record.url?scp=84855668163&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-25944-9_49

DO - 10.1007/978-3-642-25944-9_49

M3 - Conference contribution

AN - SCOPUS:84855668163

SN - 9783642259432

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 379

EP - 386

BT - Advanced Intelligent Computing Theories and Applications

T2 - 7th International Conference on Intelligent Computing, ICIC 2011

Y2 - 11 August 2011 through 14 August 2011

ER -

Rotili R, Principi E, Squartini S, Schuller B. Real-time speech recognition in a multi-talker reverberated acoustic scenario. In Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011 - Revised Selected Papers. 2011. p. 379-386. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-25944-9_49

Real-time speech recognition in a multi-talker reverberated acoustic scenario

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this