The Automatic Speech recogition in Reverberant Environments (ASpIRE) challenge

2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings

Volumn , Issue , 2016, Pages 547-554

  Harper, Mary ^a  

^a IARPA ^*  (United States)

Author keywords

mismatch; reverberation; robustness; speech recognition

Indexed keywords

REVERBERATION; ROBUSTNESS (CONTROL SYSTEMS); SPEECH;

ACOUSTIC ENVIRONMENT; AUTOMATIC SPEECH; AUTOMATIC SPEECH RECOGNITION; AUTOMATIC SPEECH RECOGNITION SYSTEM; MATCHED TRAININGS; MISMATCH; PERFORMANCE LEVEL; REVERBERANT ENVIRONMENT;

SPEECH RECOGNITION;

EID: 84964515036     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2015.7404843     Document Type: Conference Paper

References (35)

1. NIST, "Automatic Speech Recognition Evaluations at NIST," 2009. Available: http://itl.nist.gov/iad/mig/publications/ ASRhistory/index.html [Accessed: September 19, 2014]
2. T. Yoshioka, A. Sehr, M. Delcroix, K. Kinoshita, R. Maas, T. Nakatani, and W. Kellermann, "Making Machines Understand Us in Reverberant Rooms: Robustness against Reverberation for Automatic Speech Recognition," IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 114-126, 2012
3. A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters, "The ICSI Meeting Corpus," in Proceedings of ICASSP, 2003
4. S. H. K. Parthasarathi, S. Y. Chang, J. Cohen, N. Morgan, and S. Wegmann, "The Blame Game in Meeting Room ASR: An Analysis of Feature Versus Model Errors in Noisy and Mismatched Conditions," in Proceedings of ICASSP, 2013
5. B. Efron, "Bootstrap Methods: Another Look at the Jackknife," Annals of Statistics, vol. 7, no. 1, pp. 1-26, 1979
6. T. Hain, V. Wan, L. Burget, M. Karafiat, J. Dines, J. Vepa, G. Garau, and M. Lincoln, "The AMI System for the Transcription of Speech in Meetings," in Proceedings of ICASSP, 2007
7. M. Lincoln, I. McCowan, J. Vepa, and H. K. Maganti, "The Multi-Channel Wall Street Journal Audio Visual Corpus (MC-WSJ-AV): Specification and Initial Experiments," in Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, 2005
8. M. Lincoln, E. Zwyssig, and I. McCowan, "Multi-Channel WSJ Audio," LDC2014S03, Philadelphia: Linguistic Data Consortium, 2014
9. J. Barker, E. Vincent, N. Ma, H. Christensen, and P. Green, "The PASCAL CHiME Speech Separation and Recognition Challenge," Computer Speech and Language, vol. 27, no. 3, pp. 621-633, 2013
10. M. P. Cooke, J. Barker, S. P. Cunningham, and X. Shao, "An Audio-Visual Corpus for Speech Perception and Automatic Speech Recognition," Journal of the Acoustical Society of America, vol. 120, pp. 2421-2424, 2006
11. E. Vincent, J. Barker, S. Watanabe, J. Le Roux, F. Nesta, and M. Matassoni, "The Second 'CHiME' Speech Separation and Recognition Challenge: Datasets, Tasks and Baselines," in Proceedings of ICASSP , 2013
12. E. Vincent, J. Barker, S. Watanabe, J. Le Roux, F. Nesta, and M. Matassoni, "The Second 'CHiME' Speech Separation and Recognition Challenge: An Overview of Challenge Systems and Outcomes," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2013
13. Garofalo, J., Graff, D., Paul, D., and Pallett, D., "CSR-I (WSJ0) Complete," Linguistic Data Consortium, 2007
14. J. Barker, R. Marxer, E. Vincent, and S. Watanabe, "The Third 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2015
15. K. Kinoshita, M. Delcroix, T. Yoshioka, T. Nakatani, A. Sehr, W. Kellermann, and R. Maas, "The Reverb Challenge: A Common Evaluation Framework for Dereverberation and Recognition of Reverberant Speech," in Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2013
16. T. Robinson, J. Fransen, D. Pye, J. Foote, and S. Renals, "WSJCAM0: A British English Speech Corpus for Large Vocabulary Continuous Speech Recognition," in Proceedings of ICASSP, 1995
17. C. Cieri, D. Miller, and K. Walker, "The Fisher Corpus, A Resource for the Next Generations of Speech-to-Text," in Proceedings 4th International Conference on Language Resources and Evaluation, 2004
18. L. Brandschain, D. Graff, C. Cieri, K. Walker, C. Caruso, and A. Neely, "Mixer 6," in Proceedings of the Seventh International Conference on Language Resources and Evaluation, 2010
19. Linguistic Data Consortium, "Linguistic Data Consortium Transcription Guidelines (NQTR)," 2006 [online]. Available: https://catalog.ldc.upenn.edu/docs/LDC2010S01/trans-guide- nqrt-span.doc, [Accessed: September 19, 2014]
20. IARPA, "IARPA Announces Winners of its ASpIRE Challenge," 2015 [online]. Available: http://www.dni.gov /index.php/newsroom/press-releases/210-press-releases-2015/ 1252-iarpa-announces-winners-of-its-aspire-challenge [Accessed: September 10, 2015]
21. R. Hsiao, J. Ma, W. Hartmann, M. Karafiat, F. Grezl, L. Burget, I. Szoke, J. H. Cernocky, S. Watanabe, Z. Chen, S. H. Mallidi, H. Hermansky, S. Tsakalidis, and R. Schwartz, "Robust Speech Recognition in Unknown Reverberant and Noisy Conditions," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2015
22. J. G. Fiscus, "A Post-processing System to Yield Reduced Word Error Rates: Recognizer Output Voting Error Reduction (ROVER)," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 1997
23. V. Peddinti, G. Chen, V. Manohar, T. Ko, D. Povey, and S. Khudanpur, "JHU ASpIRE system: Robust LVCSR with TDNNs, i-vector Adaptation, and RNN-LMs," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2015
24. V. Peddinti, D. Povey, and S. Khudanpur, "A Time Delay Neural Network Architecture for Efficient Modeling of Long Temporal Contexts," in Proceedings of Interspeech, 2015
25. V. Gupta, P. Kenny, P. Ouellet, and T. Stafylakis, "I-vector Based Speaker Adaptation of Deep Neural Networks for French Broadcast Audio Transcription," in Proceedings of ICASSP, 2014
26. J. Dennis and H. D. Tran, "Single and Multi-channel Approaches for Distant Speech Recognition under Noisy Reverberant Conditions: I2R's System Description for the ASpIRE Challenge," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2015
27. X. Sun, "Pitch Determination and Voice Quality Analysis Using Subharmonic-to-Harmonic Ratio," in Proceedings of ICASSP, 2002
28. B. W. Gillespie, H. S. Malvar, and D. Florêncio, "Speech Dereverberation via Maximum-kurtosis Subband Adaptive Filtering," in Proceedings of ICASSP, 2001
29. H. Liao, "Speaker Adaptation of Context Dependent Deep Neural Networks," in Proceedings of ICASSP, 2013
30. V. Mitra, J. Van Hout, W. Wang, M. Graciarena, M. McLaren, H. Franco, and D. Vergyri, "Improving Robustness Against Reverberation For Automatic Speech Recognition," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2015
31. V. Mitra, W. Wang, and H Franco, "Deep Convolutional Nets and Robust Features for Reverberation-robust Speech Recognition," in Proceedings of SLT, 2014
32. V. Mitra, W. Wang, H. Franco, Y. Lei, C. Bartels, and M. Graciarena, "Evaluating Robust Features on Deep Neural Networks for Speech Recognition in Noisy and Channel Mismatched Conditions," in Proceedings of Interspeech, 2014
33. K. Kumar, R. Singh, B. Raj, and R. Stern, "Gammatone Subband Magnitude-domain Dereverberation for ASR," in Proceedings of ICASSP, 2011
34. J. Melot, N. Malyska, J. Ray, and W. Shen, "Analysis of Factors Affecting System Performance in the ASpIRE Challenge," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2015
35. X. Anguera, C. Wooters, and J. Hernando, "Acoustic Beamforming for Speaker Diarization of Meetings," IEEE Transactions on Audio, Speech and Language Processing, vol. 15, pp. 2011-2023, 2007