Very Low Resource Radio Browsing for Agile Developmental and Humanitarian Monitoring release_ltdu2c2w2ja3vgsj5hsms5rfgi

by Armin Saeb, Raghav Menon, Hugh Cameron, William Kibira, John Quinn, Thomas Niesler


NOTE: currently batch computed and may include additional references sources, or be missing recent changes, compared to entity reference list.
Fuzzy reference matching is a work in progress!
Read more about quality, completeness, and caveats in the fatcat guide.
Showing 1 - 22 of 22 references (in 107ms)

via fuzzy
Radio-browsing for developmental monitoring in Uganda
Raghav Menon, Armin Saeb, Hugh Cameron, William Kibira, John Quinn, Thomas Niesler
2017   IEEE International Conference on Acoustics, Speech, and Signal Processing
doi:10.1109/icassp.2017.7953267  dblp:conf/icassp/MenonSCKQN17 

via grobid
G. E. Dahl, D. Yu, L. Deng, , and A. Acero, "Context-dependent pre-trained deep neural networks for large vocabulary speech recognition," IEEE Trans. Audio, Speech, and Language Process., vol. 20, no. 1, pp. 30-42, 2012.

via grobid
F. Seide, G. Li, and D. Yu, "Conversational speech transcription using context-dependent deep neural networks," in Proc. INTER- SPEECH, 2011, pp. 437-440.

via fuzzy
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke (+ more)
2012   IEEE Signal Processing Magazine
doi:10.1109/msp.2012.2205597 [PDF]

via grobid
D. Yu and L. Deng, Automatic Speech Recognition: A Deep Learning Approach. Springer, 2015.

via grobid
J. Huang, J. Li, D. Yu, L. Deng, and Y. Gong, "Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers," in Proc. ICASSP, 2013, pp. 7304-7308.

via fuzzy
Bootstrapping Text-to-Speech for speech processing in languages without an orthography
Sunayana Sitaram, Sukhada Palkar, Yun-Nung Chen, Alok Parlikar, Alan W Black
2013   IEEE International Conference on Acoustics, Speech, and Signal Processing
doi:10.1109/icassp.2013.6639221  dblp:conf/icassp/SitaramPCPB13 [PDF]

via grobid
F. Grezl, M. Karafiat, and K. Vesel, "Adaptation of multilingual stacked bottle-neck neural network structure for new language," in Proc. ICASSP, 2014, pp. 7654-7658.

via fuzzy
Multi-lingual speech recognition with low-rank multi-task deep neural networks
Aanchan Mohan, Richard Rose
2015   IEEE International Conference on Acoustics, Speech, and Signal Processing
doi:10.1109/icassp.2015.7178921  dblp:conf/icassp/MohanR15 

via fuzzy
Multilingual representations for low resource speech recognition and keyword search
Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, Abhinav Sethy, Kartik Audhkhasi, Xiaodong Cui, Ellen Kislal, Lidia Mangu (+ more)
2015   Automatic Speech Recognition & Understanding
doi:10.1109/asru.2015.7404803  dblp:conf/asru/CuiKRSACKMNPTGS15 [PDF]

via fuzzy
A study of rank-constrained multilingual DNNS for low-resource ASR
Reza Sahraeian, Dirk Van Compernolle
2016   IEEE International Conference on Acoustics, Speech, and Signal Processing
doi:10.1109/icassp.2016.7472713  dblp:conf/icassp/SahraeianC16 [PDF]

via grobid
K. M. Knill, M. J. Gales, A. Ragni, and S. Rath, "Language inde- pendent and unsupervised acoustic models for speech recognition and keyword spotting," in Proc. INTERSPEECH, 2014.

via fuzzy
Semi-supervised maximum mutual information training of deep neural network acoustic models
Vimal Manohar, Daniel Povey, Sanjeev Khudanpur
2015   Interspeech 2015  unpublished
doi:10.21437/interspeech.2015-561 [PDF]

via fuzzy
Fully unsupervised small-vocabulary speech recognition using a segmental Bayesian model
Herman Kamper, Aren Jansen, Sharon Goldwater
2015   Conference of the International Speech Communication Association

via fuzzy
Semi-supervised training in low-resource ASR and KWS
Florian Metze, Ankur Gandhe, Yajie Miao, Zaid Sheikh, Yun Wang, Di Xu, Hao Zhang, Jungsuk Kim (+ more)
2015   IEEE International Conference on Acoustics, Speech, and Signal Processing
doi:10.1109/icassp.2015.7178862  dblp:conf/icassp/MetzeGMSWXZKLLS15 [PDF]

via grobid
J. T. Springenberg, "Unsupervised and semi-supervised learning with categorical generative adversarial networks," in Proc. Inter- national Conference on Learning Representations(ICLR), 2016.

via grobid
X. Zhu, "Semi-supervised learning literature survey," Computer Sciences, University of Wisconsin-Madison, Tech. Rep. 1530, 2005.

via fuzzy
ASR for Under-Resourced Languages From Probabilistic Transcription
Mark A. Hasegawa-Johnson, Preethi Jyothi, Daniel McCloy, Majid Mirbagheri, Giovanni M. di Liberto, Amit Das, Bradley Ekin, Chunxi Liu (+ more)
2017   IEEE/ACM Transactions on Audio Speech and Language Processing
doi:10.1109/taslp.2016.2621659 [PDF]

via grobid
I. Triguero, S. Garcia, and F. Herrera, "Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study," Knowledge and Information Systems, vol. 42, no. 2, pp. 245-284, 2015.

via fuzzy
Capitalising on North American speech resources for the development of a South African English large vocabulary speech recognition system
Herman Kamper, Febe de Wet, Thomas Hain, Thomas Niesler
2014   Computer Speech and Language
doi:10.1016/j.csl.2014.04.005 [PDF]

via fuzzy
SRILM - an extensible language modeling toolkit
Andreas Stolcke
2002   Conference of the International Speech Communication Association

via grobid
D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz, J. Silovsky, G. Stemmer, and K. Vesely, "The Kaldi Speech Recognition Toolkit," in Proc. ASRU, 2011.