Environmental sniffing: Robust digit recognition for an in-vehicle environment

EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology

Volumn , Issue , 2003, Pages 2177-2180

  Akbacak, Murat ^a   Hansen, John H L ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO ACOUSTICS; SPEECH COMMUNICATION;

ACOUSTIC ENVIRONMENT; ACOUSTIC MODEL; AUTOMATIC SPEECH RECOGNITION; CPU RESOURCES; DIGIT RECOGNITION; ENVIRONMENTAL CONDITIONS; MODEL MATCHING; WORD ERROR RATE;

SPEECH RECOGNITION;

EID: 85009228811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. M. Akbacak, J.H.L. Hansen, "Environmental Sniffing: Noise Knowledge Estimation for Robust Speech Systems," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2003.
2. Y. Gong, "Speech Recognition in Noisy Environments: A Survey," Speech Communication, v16-3, 261-91,1995.
3. J. G. Fiscus, "A Post Processing System to yield reduced error rates: Recognizer Output Voting Error Reduction (ROVER)," IEEE Workshop on Automatic Speech Recognition and Understanding, 347-54,1997.
4. J.H.L. Hansen, et al., "CU-Move: Analysis & Corpus Development for Interactive In-Vehicle Speech Systems," Eurospeech, v3, 2023-6, 2001.
5. B. Zhou, J.H.L. Hansen, "Unsupervised Audio Stream Segmentation and Clustering via the Bayesian Information Criterion," Proc. ICSLP, v3, 714-7, 2000.
6. B. L. Pellom, "Sonic: The University of Colorado Continuous Speech Recognizer," Techical Report #TR-CSLR-2001-01, 2001
7. AT&T FSM Library, http://www.research.att.com/sw/tools/fsm/description.html