Jui-Ting Huang

发表

On Semi-Supervised Learning of Gaussian Mixture Models for Phonetic Classification

Mark Hasegawa-Johnson, Jui-Ting Huang, M. Hasegawa-Johnson, 2009, HLT-NAACL 2009.

Learning small-size DNN with output-distribution-based criteria

Yifan Gong, Jinyu Li, Rui Zhao, 2014, INTERSPEECH.

Prosodic modeling in large vocabulary Mandarin speech recognition

Lin-Shan Lee, Jui-Ting Huang, 2006, INTERSPEECH.

Optimal Models of Prosodic Prominence Using the Bayesian Information Criterion

Mark Hasegawa-Johnson, Jui-Ting Huang, Yoonsook Mo, 2011, INTERSPEECH.

Investigation of maxout networks for speech recognition

Jinyu Li, Jui-Ting Huang, Pawel Swietojanski, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Smart Green Building: An Environmental Health Control Design

Jui-Ting Huang, Shang-Yuan Chen, Shang-Yuan Chen, 2012 .

Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

Yifan Gong, Jinyu Li, Dong Yu, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Recognition of multilingual speech in mobile applications

Hui Lin, Jui-Ting Huang, Françoise Beaufays, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Pitch-gesture modeling using subband autocorrelation change detection

Elizabeth Shriberg, Malcolm Slaney, Jui-Ting Huang, 2013, INTERSPEECH.

Semi-supervised training of Gaussian mixture models by conditional entropy minimization

Mark Hasegawa-Johnson, Jui-Ting Huang, M. Hasegawa-Johnson, 2010, INTERSPEECH.

Optimized Control of Indoor Environmental Health - Example of the Fu-An Memorial Building

Jui-Ting Huang, Shang-Yuan Chen, Ming-Whei Feng, 2012 .

Unlabeled data and other marginals

Mark Hasegawa-Johnson, Xiaodan Zhuang, Jui-Ting Huang, 2011, MLSLP.

An analysis of convolutional neural networks for speech recognition

Yifan Gong, Jinyu Li, Jui-Ting Huang, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recent advances in deep learning for speech research at Microsoft

Geoffrey Zweig, Kaisheng Yao, Yifan Gong, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks pdf

Dong Yu, Jui-Ting Huang, Frank Seide, 2013, ICLR.

Factorized adaptation for deep neural network

Yifan Gong, Jinyu Li, Jui-Ting Huang, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Development of Environmental Health information Management Platform

Jui-Ting Huang, Shang-Yuan Chen, Ming-Whei Feng, 2011 .

Improved Large Vocabulary Mandarin Speech Recognition Using Prosodic Features

Lin-Shan Lee, Jui-Ting Huang, 2006 .

Speech Retrieval in Unknown Languages: a Pilot Study

Mark Hasegawa-Johnson, Xiaodan Zhuang, Jui-Ting Huang, 2009 .

Discriminative training methods for language models using conditional entropy criteria

Xiao Li, Alex Acero, Jui-Ting Huang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks.

Jinyu Li, Dong Yu, Jui-Ting Huang, 2013, ICLR 2013.

Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems Robust Measure of Image Focus in the Wavelet Domain

See-May Phoong, Jui-Ting Huang, Homer Chen, 2022 .

Maximum mutual information estimation with unlabeled data for phonetic classification

Mark Hasegawa-Johnson, Jui-Ting Huang, M. Hasegawa-Johnson, 2008, INTERSPEECH.

Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM

Yifan Gong, Jinyu Li, Dong Yu, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Embedding-based Retrieval in Facebook Search

Li Xia, Giuseppe Ottaviano, Ashish Sharma, 2020, KDD.

Prosody-dependent acoustic modeling using variable-parameter hidden markov models

Po-Sen Huang, Mark Hasegawa-Johnson, Jui-Ting Huang, 2010 .

Kernel metric learning for phonetic classification

Thomas S. Huang, Mark Hasegawa-Johnson, Jui-Ting Huang, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.