The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Finding consensus among words: lattice-based word error minimization
Abstract
We describe a new algorithm for finding the hypothesis in a recognition lattice that is expected to minimize the word error rate (WER). Our approach thus overcomes the mismatch between the word-based performance metric and the standard MAP scoring paradigm that is sentence-based, and that can lead to sub-optimal recognition results. To this end we first find a complete alignment of all words in the recognition lattice, identifying mutually supporting and competing word hypotheses. Finally, a new sentence hypothesis is formed by concatenating the words with maximal posterior probabilities. Experimentally, this approach leads to a significant WER reduction in a large vocabulary recognition task. 1. INTRODUCTION Word lattices are used by most speech recognizers as a compact representation of a set of alternative hypotheses. In the standard MAP decoding approach [1] the recognizer outputs the string of words corresponding to the path with the highest posterior probability given the acous...
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SWITCHBOARD: telephone speech corpus for research and development
Godfrey, J. J., Holliman, E. C., & McDaniel, J. (1992) · [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1992.225858 · Cited by 2,134 · cited 1×
“We carried out experiments on the Switchboard conversational telephone speech corpus [ 4 ] to test the performance of latticebased word error minimization.”
Method
Cited by
Large scale discriminative training of hidden Markov models for speech recognition
Woodland, P. C., & Povey, D. (2002) · Computer Speech & Language · doi:10.1006/csla.2001.0182 · Cited by 306
Automatic Speech Assessment for People with Aphasia Using TDNN-BLSTM with Multi-Task Learning
Qin, Y., Lee, T., Feng, S., & Kong, A. P. H. (2018) · Interspeech 2018 · doi:10.21437/interspeech.2018-1630 · Cited by 30
Metadata
- Authors
- Mangu, L., Brill, E., & Stolcke, A.
- Venue
- 6th European Conference on Speech Communication and Technology
- Publisher
- ISCA
- Published
- 1999-09-05
- Pages
- 495-498
- OpenAlex
- W1571931074
- Cited by
- 214
- References
- 1
- FWCI
- 8.77
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Mangu, L., Brill, E., & Stolcke, A. (1999). Finding consensus among words: lattice-based word error minimization. 6th European Conference on Speech Communication and Technology. https://doi.org/10.21437/eurospeech.1999-127
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