David Huggins Daines
Cited by
Cited by
Pocketsphinx: A free, real-time continuous speech recognition system for hand-held devices
D Huggins-Daines, M Kumar, A Chan, AW Black, M Ravishankar, ...
2006 IEEE international conference on acoustics speech and signal processing …, 2006
Conquest—an open-source dialog system for conferences
D Bohus, SG Puerto, D Huggins-Daines, V Keri, G Krishna, R Kumar, ...
Human Language Technologies 2007: The Conference of the North American …, 2007
Improving audio captchas
J Tam, J Simsa, D Huggins-Daines, L Von Ahn, M Blum
Symposium On Usable Privacy and Security (SOUPS), 2008
Interactive asr error correction for touchscreen devices
D Huggins-Daines, A Rudnicky
Proceedings of the ACL-08: HLT Demo Session, 17-19, 2008
A Constrained Baum-Welch Algorithm for Improved Phoneme Segmentation and Efficient Training
D Huggins-Daines, A Rudnicky
Carnegie Mellon University, 2006
Investigations on ensemble based semi-supervised acoustic model training
R Zhang, ZA Bawab, A Chan, A Chotimongkol, D Huggins-Daines, ...
Carnegie Mellon University, 2005
The Hieroglyphs: building speech applications using CMU Sphinx and related resources
A Chan, E Gouva, R Singh, M Ravishankar, R Rosenfeld, Y Sun, ...
Links, 2007
An Architecture for Scalable, Universal Speech Recognition
DH Daines
Carnegie Mellon University, 2011
Implicitly supervised language model adaptation for meeting transcription
D Huggins-Daines, A Rudnicky
Human Language Technologies 2007: The Conference of the North American …, 2007
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software
R Kuhn, F Davis, A Désilets, E Joanis, A Kazantseva, R Knowles, P Littell, ...
Proceedings of the 28th international conference on computational …, 2020
Mixture pruning and roughening for scalable acoustic models
D Huggins-Daines, A Rudnicky
Proceedings of the ACL-08: HLT Workshop on Mobile Language Processing, 21-24, 2008
Pocketsphinx api documentation
D Huggins-Daines
Version 0.6, 2010
Combining mixture weight pruning and quantization for small-footprint speech recognition
D Huggins-Daines, AI Rudnicky
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
Gi22Pi Rule-based, index-preserving grapheme-to-phoneme transformations Rule-based, index-preserving grapheme-to-phoneme transformations
A Pine, PW Littell, E Joanis, D Huggins-Daines, C Cox, F Davis, ...
Proceedings of the Fifth Workshop on the Use of Computational Methods in the …, 2022
ReadAlong Studio: Practical Zero-Shot Text-Speech Alignment for Indigenous Language Audiobooks
P Littell, E Joanis, A Pine, M Tessier, D Huggins-Daines, D Torkornoo
Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest …, 2022
Recognition for Mobile and Multicore Applications
D Huggins-Daines
Mixture Pruning and Roughening for Scalable Acoustic Models
A Rudnicky, D Huggins-Daines
Carnegie Mellon University, 2008
Transformation-Based Learning for English Letter-to-Sound Conversion 11-712 Self-Paced Lab in NLP, Spring 2005
D Huggins-Daines
Transformation-based learning for grapheme-to-phoneme conversion Project Proposal for 11-712, Self-paced laboratory in NLP
D Huggins-Daines
Readalongs: Automatic alignment of speech and text for Indigenous language audiobooks
D Huggins-Daines, P Littell, A Pine, E Joanis
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