Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals

Richard Rose
Richard Rose
Minlie Huang
Minlie Huang
Chao Zhang
Chao Zhang

IEEE Journal of Selected Topics in Signal Processing, pp. 474-477, 2020.

Cited by: 0|Bibtex|Views77|DOI:https://doi.org/10.1109/JSTSP.2020.2989852
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

The ten papers included in this special section focus on deep learning for multi-modal intelligence across speech, language, vision, and heterogeneous signals. Thanks to the disruptive advances in deep learning, significant progress has been made in artificial intelligence (AI) applications with single modality, such as speech recognition...More

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