Feature-Based Signal and Image Processing for Multimodal Human Communication
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (25 January 2024) | Viewed by 289
Special Issue Editors
Interests: image processing; signal processing; speech processing; multimodal speech filtering
Special Issues, Collections and Topics in MDPI journals
Interests: speech processing; conversation analysis; artificial neural; natural language processing
Interests: speech or acoustic signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in Deep Neural Networks (DNNs) have enabled extremely high performance in speech, language and affective computing processing. Current state-of-the-art DNNs enable the flexible end-to-end self-learning training paradigm and can achieve human-level performance in the right conditions, integrating multiple modalities and inputs. This flexibility comes at a cost of model decision transparency and lack of explainability. Compared to such large and data hungry models, feature-based approaches have been shown to deliver competitive results and often have the advantage of requiring much smaller datasets, using inputs from individual sensors with lower dimensionality features, and requiring significantly less computational resources and time. Moreover, these features can potentially be analysed and interpreted, allowing for more explainable system inputs.
In this special issue, we aim to explore state-of-the-art feature-based approaches to speech, language, and affective based processing. This includes applications such as speech recognition, speech enhancement, emotion recognition, and explainability. We also welcome novel contributions in fundamental topics including but not limited to feature extraction, augmentation, optimisation and processing, sensor inputs, multimodal feature combination and fusion (e.g. vocal and facial cues for speech/emotion recognition) and feature analysis methods.
Dr. Andrew Abel
Dr. Shammur Chowdhury
Dr. Dong Wang
Guest Editors
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Keywords
- image processing
- signal processing
- speech processing
- multimodal speech filtering
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