Hazen et al., 2008 - Google Patents
Discriminative feature weighting using MCE training for topic identification of spoken audio recordingsHazen et al., 2008
View PDF- Document ID
- 6132610184116507901
- Author
- Hazen T
- Margolis A
- Publication year
- Publication venue
- 2008 IEEE International Conference on Acoustics, Speech and Signal Processing
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Snippet
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns feature weights by optimizing an objective loss function directly related to the classification error rate …
- 238000000034 method 0 description 8
Classifications
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- G10L15/00—Speech recognition
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- G10L15/18—Speech classification or search using natural language modelling
- G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
- G10L15/19—Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
- G10L15/197—Probabilistic grammars, e.g. word n-grams
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- G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
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