Symmetry and Asymmetry in Audio and Speech Processing
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 175
Special Issue Editors
Interests: automatic speech recognition; acoustic feature engineering with symmetry analysis; pattern recognition; data analysis; natural language processing
Interests: information systems; data mining; artificial intelligence
Special Issue Information
Dear Colleagues,
Speech recognition systems are now embedded in everyday applications (assistants, call analytics, smart rooms, medical/assistive tools), yet their performance often depends on symmetry assumptions that do not hold in practice. This Special Issue focuses on how symmetry and asymmetry arise, and can be leveraged or compensated, in the full pipeline from acoustic sensing to automatic speech recognition (ASR) and downstream speech understanding. We invite original contributions bridging statistical signal processing and machine learning to address asymmetric conditions such as non-uniform microphone placement, heterogeneous devices, different sampling rates/codecs, speaker and accent variability, left–right binaural differences, and train–test domain mismatch. Topics include symmetry/asymmetry-aware front ends (beamforming, source separation, dereverberation), robust feature learning, self-supervised and multilingual modeling, and end-to-end ASR that remains reliable under real noise and reverberation. To align with intelligent systems and cybersecurity research, we also welcome studies on privacy-preserving ASR, secure speech analytics, spoofing/deepfake detection, and adversarial robustness, especially when asymmetries amplify vulnerabilities. Submissions may propose new benchmarks, evaluation protocols, and deployable solutions (including edge/on-device ASR) that quantify and reduce the performance gap between symmetric laboratory settings and asymmetric real-world environments.
Dr. Mohamed Hamidi
Dr. Anas El Ansari
Dr. Ouissam Zealouk
Guest Editors
Manuscript Submission Information
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Keywords
- automatic speech recognition (ASR)
- speech detection system
- symmetry/asymmetry-aware learning
- robust speech enhancement (noise/reverberation)
- microphone arrays and beamforming
- self-supervised speech representation learning
- accent/dialect variability and domain adaptation
- privacy-preserving speech recognition
- spoofing/deepfake detection and security
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