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Jui-Ting Huang
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2020 – today
- 2020
- [c18]Jui-Ting Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, Linjun Yang:
Embedding-based Retrieval in Facebook Search. KDD 2020: 2553-2561 - [i1]Jui-Ting Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, Linjun Yang:
Embedding-based Retrieval in Facebook Search. CoRR abs/2006.11632 (2020)
2010 – 2019
- 2015
- [c17]Jui-Ting Huang, Jinyu Li, Yifan Gong:
An analysis of convolutional neural networks for speech recognition. ICASSP 2015: 4989-4993 - 2014
- [c16]Jinyu Li, Jui-Ting Huang, Yifan Gong:
Factorized adaptation for deep neural network. ICASSP 2014: 5537-5541 - [c15]Pawel Swietojanski, Jinyu Li, Jui-Ting Huang:
Investigation of maxout networks for speech recognition. ICASSP 2014: 7649-7653 - [c14]Jinyu Li, Rui Zhao, Jui-Ting Huang, Yifan Gong:
Learning small-size DNN with output-distribution-based criteria. INTERSPEECH 2014: 1910-1914 - 2013
- [c13]Jui-Ting Huang, Jinyu Li, Dong Yu, Li Deng, Yifan Gong:
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers. ICASSP 2013: 7304-7308 - [c12]Li Deng, Jinyu Li, Jui-Ting Huang, Kaisheng Yao, Dong Yu, Frank Seide, Michael L. Seltzer, Geoffrey Zweig, Xiaodong He, Jason D. Williams, Yifan Gong, Alex Acero:
Recent advances in deep learning for speech research at Microsoft. ICASSP 2013: 8604-8608 - [c11]Malcolm Slaney, Elizabeth Shriberg, Jui-Ting Huang:
Pitch-gesture modeling using subband autocorrelation change detection. INTERSPEECH 2013: 1911-1915 - [c10]Dong Yu, Michael L. Seltzer, Jinyu Li, Jui-Ting Huang, Frank Seide:
Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks. ICLR 2013 - 2012
- [c9]Hui Lin, Jui-Ting Huang, Françoise Beaufays, Brian Strope, Yun-Hsuan Sung:
Recognition of multilingual speech in mobile applications. ICASSP 2012: 4881-4884 - [c8]Jinyu Li, Dong Yu, Jui-Ting Huang, Yifan Gong:
Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM. SLT 2012: 131-136 - 2011
- [c7]Tim Mahrt, Jui-Ting Huang, Yoonsook Mo, Margaret M. Fleck, Mark Hasegawa-Johnson, Jennifer Cole:
Optimal Models of Prosodic Prominence Using the Bayesian Information Criterion. INTERSPEECH 2011: 2037-2040 - [c6]Mark Hasegawa-Johnson, Jui-Ting Huang, Xiaodan Zhuang:
Unlabeled data and other marginals. MLSLP 2011 - 2010
- [c5]Jui-Ting Huang, Xiao Li, Alex Acero:
Discriminative training methods for language models using conditional entropy criteria. ICASSP 2010: 5182-5185 - [c4]Jui-Ting Huang, Mark Hasegawa-Johnson:
Semi-supervised training of Gaussian mixture models by conditional entropy minimization. INTERSPEECH 2010: 1353-1356
2000 – 2009
- 2009
- [c3]Jui-Ting Huang, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang:
Kernel metric learning for phonetic classification. ASRU 2009: 141-145 - 2008
- [c2]Jui-Ting Huang, Mark Hasegawa-Johnson:
Maximum mutual information estimation with unlabeled data for phonetic classification. INTERSPEECH 2008: 952-955 - 2006
- [c1]Jui-Ting Huang, Lin-Shan Lee:
Prosodic modeling in large vocabulary Mandarin speech recognition. INTERSPEECH 2006
Coauthor Index
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