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Che-Wei Huang

3 papers here

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author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.AS2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedCharacterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition

25 citations · 30 across the 3 of their papers we have counts for

collaborators

3 papers

eess.AS2020★ 1 cited

Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition

Jinxi Guo, Gautam Tiwari, Jasha Droppo +4

In this work, we propose a novel and efficient minimum word error rate (MWER) training method for RNN-Transducer (RNN-T). Unlike previous work on this topic, which performs on-the-…

eess.AS2020★ 4 cited

Streaming ResLSTM with Causal Mean Aggregation for Device-Directed Utterance Detection

Xiaosu Tong, Che-Wei Huang, Sri Harish Mallidi +5

In this paper, we propose a streaming model to distinguish voice queries intended for a smart-home device from background speech. The proposed model consists of multiple CNN layers…

cs.LG2017★ 25 cited

Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition

Che-Wei Huang, Shrikanth. S. Narayanan

Deep convolutional neural networks are being actively investigated in a wide range of speech and audio processing applications including speech recognition, audio event detection a…

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