The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Scalable minimum Bayes risk training of deep neural network acoustic models using distributed hessian-free optimization
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Citations
Cites
Maximum mutual information estimation of hidden Markov model parameters for speech recognition
Bahl, L., Brown, P., de Souza, P., & Mercer, R. (2005) · ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1986.1169179 · Cited by 817
Cited by
Deep Learning: Methods and Applications
Deng, L. (2014) · now publishers, Inc. eBooks · doi:10.1561/9781601988157 · Cited by 1,759
Improving deep neural networks for LVCSR using rectified linear units and dropout
Dahl, G. E., Sainath, T. N., & Hinton, G. E. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6639346 · Cited by 1,310
Self-citationRecent advances in deep learning for speech research at Microsoft
Deng, L., Li, J., Huang, J.-T., Yao, K., Yu, D., Seide, F., Seltzer, M., Zweig, G., He, X., Williams, J., et al. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6639345 · Cited by 801
Sequence-discriminative training of deep neural networks
Veselý, K., Ghoshal, A., Burget, L., & Povey, D. (2013) · Interspeech 2013 · doi:10.21437/interspeech.2013-548 · Cited by 657
An investigation of deep neural networks for noise robust speech recognition
Seltzer, M. L., Yu, D., & Wang, Y. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6639100 · Cited by 640
Metadata
- Authors
- Kingsbury, B., Sainath, T. N., & Soltau, H.
- Venue
- Interspeech 2012
- Publisher
- ISCA
- Published
- 2012-09-09
- Pages
- 10-13
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W2403195671
- Cited by
- 220
- References
- 1
- FWCI
- 33.24
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Scalable minimum Bayes risk training of deep neural network acoustic models using distributed hessian-free optimization. https://app.cochat.ai/papers/10.21437/interspeech.2012-3
- The paper
- Kingsbury, B., Sainath, T. N., & Soltau, H. (2012). Scalable minimum Bayes risk training of deep neural network acoustic models using distributed hessian-free optimization. Interspeech 2012. https://doi.org/10.21437/interspeech.2012-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
