The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Hidden conditional random fields for phone classification
Abstract
In this paper, we show the novel application of hidden conditional random fields (HCRFs) – conditional random fields with hidden state sequences – for modeling speech. Hidden state sequences are critical for modeling the non-stationarity of speech signals. We show that HCRFs can easily be trained using the simple direct optimization technique of stochastic gradient descent. We present the results on the TIMIT phone classification task and show that HCRFs outperforms comparable ML and CML/MMI trained HMMs. In fact, HCRF results on this task are the best single classifier results known to us. We note that the HCRF framework is easily extensible to recognition since it is a state and label sequence modeling technique. We also note that HCRFs have the ability to handle complex features without any change in training procedure. 1.
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Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
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Maximum Entropy Markov Models for Information Extraction and Segmentation
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Shallow parsing with conditional random fields
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Generalized Iterative Scaling for Log-Linear Models
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Stochastic Approximation Algorithms and Applications
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Discriminative learning for minimum error classification (pattern recognition)
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Minimum Phone Error and I-smoothing for improved discriminative training
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An inequality for rational functions with applications to some statistical estimation problems
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Cited by
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
Dahl, G. E., Yu, D., Deng, L., & Acero, A. (2012) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2011.2134090 · Cited by 3,011
Self-citationHidden Conditional Random Fields for Gesture Recognition
Wang, S. B., Quattoni, A., Morency, L.-P., Demirdjian, D., & Darrell, T. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.132 · Cited by 451
Metadata
- Authors
- Gunawardana, A., Mahajan, M., Acero, A., & Platt, J. C.
- Venue
- Interspeech 2005
- Publisher
- ISCA
- Published
- 2005-09-04
- Pages
- 1117-1120
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W2156615793
- Cited by
- 299
- References
- 11
- FWCI
- 14.31
- Type
- conference paper
- Language
- en
- Open access
- closed
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