Speech Recognition: Techniques, Applications and Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 40
Special Issue Editors
Interests: speech recogniton; human–computer interaction; affective computing
Interests: speech synthesis; spoof speech detection; spontaneous speech recognition; speaker recognition; acoustic scene and event detection
Interests: speech recognition; speech synthesis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Speech recognition technology has emerged as a transformative force across industries, revolutionizing human–computer interactions and enabling unprecedented accessibility. This Special Issue invites cutting-edge research and reviews exploring the latest advancements, challenges, and future directions in speech recognition systems.
We welcome contributions addressing novel algorithms, including deep learning architectures (e.g., transformer-based models, end-to-end systems), acoustic and language modeling innovations, and robustness improvements for noisy or multilingual environments. Submissions may also investigate real-world applications in healthcare (e.g., diagnostic transcription), education (e.g., language learning tools), customer service automation, and voice-activated smart devices. Additionally, this Special Issue will highlight ethical considerations, such as bias mitigation, privacy-preserving designs, and sustainability in resource-constrained settings.
Prospective authors are encouraged to explore emerging trends like low-resource language support, multimodal integration (e.g., combining speech with visual or contextual data), and edge computing for real-time processing. Interdisciplinary studies bridging linguistics, neuroscience, and AI are particularly welcome.
By compiling diverse perspectives, this Special Issue aims to chart the trajectory of speech recognition technology and its societal impact. Submissions from academia and industry are invited, including original research, extended conference articles, and comprehensive reviews. Join us in shaping the next frontier of voice-driven innovation!
Prof. Dr. Xiang Xie
Prof. Dr. Pengyuan Zhang
Dr. Ya Li
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- speech recognition
- deep learning
- acoustic modeling
- robustness enhancement
- low-resource language processing
- multilingual recognition
- multimodal computing
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