Using artificially reverberated training data in distant-talking ASR

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

Volumn 3658 LNAI, Issue , 2005, Pages 226-233

  Haderlein, Tino ^a   Nöth, Elmar ^a   Herbordt, Wolfgang ^a,b   Kellermann, Walter ^a   Niemann, Heinrich ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA REDUCTION; MICROPHONES; PROBLEM SOLVING; REAL TIME SYSTEMS; SPEECH ANALYSIS;

ACOUSTICAL ENVIRONMENT; AUTOMATIC SPEECH RECOGNITION (ASR); DATA SETS; ROOM IMPULSE RESPONSES;

SPEECH RECOGNITION;

EID: 33646055191     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11551874_29     Document Type: Conference Paper

References (7)

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2. Stahl, V., Fischer, A., Bippus, R.: Acoustic Synthesis of Training Data for Speech Recognition in Living Room Environments. In Proc. Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), volume 1, pages 21-24, Salt Lake City, Utah, 2001.
3. Junqua, J.-C.: Robust Speech Recognition in Embedded Systems and PC Applications. Kluwer Academic Publishers, Boston, 2001.
4. Kingsbury, B.E.D., Morgan, N.: Recognizing Reverberant Speech with RASTA-PLP. In Proc. Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), volume 2, pages 1259-1262, Munich, Germany, 1997.
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6. Haderlein, T., Stemmer, G., Nöth, E.: Speech Recognition with μ-Law Companded Features on Reverberated Signals. In V. Matoušek and P. Mautner, editors, Proc. 6th Int. Conf. on Text, Speech and Dialogue - TSD 2003, volume 2807 of Lecture Notes in Artificial Intelligence, pages 173-180, Berlin, 2003, Springer-Verlag.
7. Stemmer, G.: Modeling Variability in Speech Recognition. PhD thesis. Chair for Pattern Recognition, University of Erlangen-Nuremberg, Germany, 2005.