Che-Wei Huang
Che-Wei Huang
Verified email at amazon.com
Title
Cited by
Cited by
Year
Deep convolutional recurrent neural network with attention mechanism for robust speech emotion recognition
CW Huang, SS Narayanan
2017 IEEE international conference on multimedia and expo (ICME), 583-588, 2017
842017
Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition.
CW Huang, SS Narayanan
Interspeech, 1387-1391, 2016
832016
A technology prototype system for rating therapist empathy from audio recordings in addiction counseling
B Xiao, C Huang, ZE Imel, DC Atkins, P Georgiou, SS Narayanan
PeerJ Computer Science 2, e59, 2016
372016
Gender representation in cinematic content: A multimodal approach
T Guha, CW Huang, N Kumar, Y Zhu, SS Narayanan
Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015
222015
Characterizing types of convolution in deep convolutional recurrent neural networks for robust speech emotion recognition
CW Huang, S Narayanan
arXiv preprint arXiv:1706.02901, 2017
202017
Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition
J Guo, G Tiwari, J Droppo, M Van Segbroeck, CW Huang, A Stolcke, ...
arXiv preprint arXiv:2007.13802, 2020
182020
A Study for Improving Device-Directed Speech Detection toward Frictionless Human-Machine Interaction
CW Haung, R Maas, SH Mallidi, B Hoffmeister
Proceedings of Interspeech, 2019
92019
Shaking acoustic spectral sub-bands can Letxer regularize learning in affective computing
CW Huang, S Narayanan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
92018
Flow of Renyi information in deep neural networks
CW Huang, SSS Narayanan
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
92016
Unsupervised speaker diarization using riemannian manifold clustering
CW Huang, B Xiao, PG Georgiou, SS Narayanan
Fifteenth Annual Conference of the International Speech Communication …, 2014
62014
Stochastic Shake-Shake Regularization for Affective Learning from Speech.
CW Huang, SS Narayanan
INTERSPEECH, 3658-3662, 2018
52018
Wav2vec-C: A Self-supervised Model for Speech Representation Learning
S Sadhu, D He, CW Huang, SH Mallidi, M Wu, A Rastrow, A Stolcke, ...
arXiv preprint arXiv:2103.08393, 2021
42021
Streaming ResLSTM with Causal Mean Aggregation for Device-Directed Utterance Detection
X Tong, CW Huang, SH Mallidi, S Joseph, S Pareek, C Chandak, ...
2021 IEEE Spoken Language Technology Workshop (SLT), 659-664, 2021
42021
Novel affective features for multiscale prediction of emotion in music
N Kumar, T Guha, CW Huang, C Vaz, SS Narayanan
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP …, 2016
42016
Comparison of feature-level and kernel-level data fusion methods in multi-sensory fall detection
CW Huang, S Narayanan
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP …, 2016
42016
Normalization before shaking toward learning symmetrically distributed representation without margin in speech emotion recognition
CW Huang, SS Narayanan
arXiv preprint arXiv:1808.00876, 2018
22018
On Role and Location of Normalization Before Model-based Data Augmentation in Residual Blocks for Classification Tasks
CW Huang, S Narayanan
2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019
2019
Toward Robust Affective Learning from Speech Signals Based on Deep Learning Techniques
CW Huang
University of Southern California, 2018
2018
A quantum effect in the classical limit: nonequilibrium tunneling in the Duffing oscillator
AMB Shu-Hao Yeh, Dong-Bang Tsai, Che-Wei Huang, Md. Manirul Ali
https://arxiv.org/abs/1208.1701, 2012
2012
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Articles 1–19