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A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER)
Abstract
Describes a system developed at NIST to produce a composite automatic speech recognition (ASR) system output when the outputs of multiple ASR systems are available, and for which, in many cases, the composite ASR output has a lower error rate than any of the individual systems. The system implements a "voting" or rescoring process to reconcile differences in ASR system outputs. We refer to this system as the NIST Recognizer Output Voting Error Reduction (ROVER) system. As additional knowledge sources are added to an ASR system (e.g. acoustic and language models), error rates are typically decreased. This paper describes a post-recognition process which models the output generated by multiple ASR systems as independent knowledge sources that can be combined and used to generate an output with reduced error rate. To accomplish this, the outputs of multiple of ASR systems are combined into a single, minimal-cost word transition network (WTN) via iterative applications of dynamic programming (DP) alignments. The resulting network is searched by an automatic rescoring or "voting" process that selects the output sequence with the lowest score.
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Cited by
Automatic speech recognition and speech variability: A review
Benzeghiba, M., De Mori, R., Deroo, O., Dupont, S., Erbes, T., Jouvet, D., Fissore, L., Laface, P., Mertins, A., Ris, C., et al. (2007) · Speech Communication · doi:10.1016/j.specom.2007.02.006 · Cited by 529
The NIST speaker recognition evaluation – Overview, methodology, systems, results, perspective
Doddington, G. R., Przybocki, M. A., Martin, A. F., & Reynolds, D. A. (2000) · Speech Communication · doi:10.1016/s0167-6393(99)00080-1 · Cited by 365
Toward Human Parity in Conversational Speech Recognition
Xiong, W., Droppo, J., Huang, X., Seide, F., Seltzer, M. L., Stolcke, A., Yu, D., & Zweig, G. (2017) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2017.2756440 · Cited by 245
Combining Efforts for Improving Automatic Classification of Emotional User States
Batliner, A., Steidl, S., Schuller, B., Seppi, D., Laskowski, K., Vogt, T., Devillers, L., Vidrascu, L., Amir, N., Kessous, L., et al. (2006) · Jožef Stefan Institute, Ljubljana · doi:10.5281/zenodo.14167504 · Cited by 119
Automatic detection of articulation disorders in children with cleft lip and palate
Maier, A., Hönig, F., Bocklet, T., Nöth, E., Stelzle, F., Nkenke, E., & Schuster, M. (2009) · The Journal of the Acoustical Society of America · doi:10.1121/1.3216913 · Cited by 71
Metadata
- Authors
- Fiscus, J. G.
- Venue
- 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings
- Publisher
- IEEE
- Published
- 2002-11-23
- Pages
- 347-354
- OpenAlex
- W1904457459
- Cited by
- 1,091
- References
- 0
- FWCI
- 31.81
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Fiscus, J. G. (2002). A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER). 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings. https://doi.org/10.1109/asru.1997.659110
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