Multi-task deep learning for user intention understanding in speech interaction systems

Y Ning, J Jia, Z Wu, R Li, Y An, Y Wang… - Proceedings of the AAAI …, 2017 - ojs.aaai.org
Speech interaction systems have been gaining popularity in recent years. The main purpose
of these systems is to generate more satisfactory responses according to users' speech …

[PDF][PDF] Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition.

L Li, Z Wu, M Xu, HM Meng, L Cai - Interspeech, 2016 - se.cuhk.edu.hk
Recognizing stances in ideological debates is a relatively new and challenging problem in
opinion mining. While previous work mainly focused on text modality, in this paper, we try to …

Learning cross-lingual knowledge with multilingual BLSTM for emphasis detection with limited training data

Y Ning, Z Wu, R Li, J Jia, M Xu… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Bidirectional long short-term memory (BLSTM) recurrent neural network (RNN) has
achieved state-of-the-art performance in many sequence processing problems given its …

Emphasis detection for voice dialogue applications using multi-channel convolutional bidirectional long short-term memory network

L Zhang, J Jia, F Meng, S Zhou, W Chen… - … on Chinese Spoken …, 2018 - ieeexplore.ieee.org
Emphasis detection is important for user intention understanding in human-computer
interaction scenario. Techniques have been developed to detect the emphatic words in …

[PDF][PDF] Detection of prominent words in oral reading by children

K Sabu, P Rao - Proceedings of speech prosody, Poznan, Poland, 2018 - isca-archive.org
The evaluation of oral reading skills is considered an important component of language
education in school. Compared with word decoding skill, prosodic fluency typically takes …

Recognizing stances in mandarin social ideological debates with text and acoustic features

L Li, Z Wu, M Xu, H Meng, L Cai - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Recognizing stances is of great importance to understand intention of human beings. While
previous related researches mainly focused on text modality, in this paper, we aim to …

Learning Contextual Representation with Convolution Bank and Multi-head Self-attention for Speech Emphasis Detection

L Liu, Z Wu, R Li, J Jia, H Meng - 2019 Asia-Pacific Signal and …, 2019 - ieeexplore.ieee.org
In speech interaction scenarios, speech emphasis plays an important role in conveying the
underlying intention of the speaker. For better understanding of user intention and further …