Detection, diarization, and transcription of far-field lecture speech

International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007

Volumn 4, Issue , 2007, Pages 2512-2515

  Huang, Jing ^a   Marcheret, Etienne ^a   Visweswariah, Karthik ^a   Libal, Vit ^a   Potamianos, Gerasimos ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Lectures; Smart rooms; Speaker diarization; Speech activity detection; Speech processing; Speech recognition

Indexed keywords

SPEECH; SPEECH PROCESSING; SPEECH RECOGNITION; TRANSCRIPTION;

EUROPEANS; EVALUATION TESTS; FIELD CONDITIONS; LECTURE DATUMS; LECTURES; MEETING RECOGNITIONS; RELATIVE REDUCTIONS; SMART ROOMS; SPEAKER DIARIZATION; SPEECH ACTIVITY DETECTION; SPEECH ACTIVITY DETECTIONS; WORD ERROR RATES;

SPEECH COMMUNICATION;

EID: 56149089096     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. "CHIL: Computers in the Human Interaction Loop" [Online]. Available: http://chil.server.de
2. "AMI: Augmented Multi-Party Interaction" [Online]. Available: http://www.arniproject.org
3. "The NIST SmartSpace Laboratory" [Online]. Available: http://www.nist.gov/smartspace
4. J.G. Fiscus, J. Ajot, M. Michel, and J.S. Garofolo, "The Rich Transcription 2006 Spring meeting recognition evaluation," in Machine Learning for Multimodal Interaction, S. Renals, S. Bengio, and J.G. Fiscus (Eds.), LNCS vol. 4299, pp. 309-322, 2006.
5. E. Marcheret, G. Potamianos, K. Visweswariah, and J. Huang, "The IBM RT06s evaluation system for speech activity detection in CHIL seminars," in Machine learning for Multimodal Interaction, S. Renals, S. Bengio, and J.G. Fiscus (Eds.), LNCS vol. 4299, pp. 323-335, 2006.
6. J. Huang, M. Westphal, S. Chen, et al., "The IBM Rich Transcription Spring 2006 speech-to-text system for lecture meetings," in Machine Learning/or Multimodal Interaction, S. Renals, S. Bengio, and J.G. Fiscus (Eds.), LNCS vol. 4299, pp. 432-443, 2006.
7. J.G. Fiscus, "A post-processing system to yield reduced word error rates: Recogniser output voting error reduction (ROVER)," in Proc. ASRU Workshop, Santa Barbara, CA, pp. 347-352, 1997.
8. O. Siohan, B. Ramabhadran, and B. Kingsbury, "Constructing ensembles of ASR systems using randomized decision trees," in Proc. Int. Conf. Acoustics Speech Signal Process., Philadelphia, PA, vol. 1, pp. 197-200, 2005.
9. "The LDC Corpus Catalog," Linguistic Data Consortium, University of Pennsylvania. Philadelphia, PA. [Online]. Available: http://www.ldc.upenn.edu
10. G. Saon, G. Zweig, and M. Padmanabhan, "Linear feature space projections for speaker adaptation," in Proc. Int. Conf. Acoustics Speech Signal Process., Salt Lake City, UT, pp. 325-328, 2001.
11. D. Povey, B. Kingsbury, L. Mangu, G. Saon, H. Soltau, and G. Zweig, "fMPE: Discriminatively trained features for speech recognition," in Proc. Int. Conf. Acoustics Speech Signal Process., Philadelphia, PA, vol. 1, pp. 961-964, 2005.
12. D. Povey and P.C. Woodland, "Minimum phone error and Ismoothing for improved discriminative training," in Proc. Int. Conf. Acoustics Speech Signal Process., Orlando, FL, pp. 105-108, 2002.
13. A. Stolcke, "Entropy-based pruning of backoff language models," in Proc. DARPA Broadcast News Transcription and Understanding Workshop, Lansdowne, VA, pp. 270-274, 1998.