Automated Methods for Speech Processing and Recognition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 June 2024 | Viewed by 178
Special Issue Editors
Interests: recommendation systems; machine learing; voice detection and classification; assistive technology
Interests: new technologies applied to physical activity; health and wellbeing; image processing
Special Issues, Collections and Topics in MDPI journals
Interests: eHealth; biomedical engineering; computer games for health; biofeedback
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Automated Methods for Speech Processing and Recognition focuses on the latest advancements in the field of speech technology. The goal of this collection of articles is to showcase cutting-edge research and innovations aimed at automating various aspects of speech analysis, synthesis, and recognition. Researchers and experts in the field explore topics such as automatic speech recognition (ASR), natural language processing (NLP), speaker recognition, and speech synthesis using machine learning and deep learning techniques. The special issue serves as a comprehensive resource for professionals and enthusiasts interested in the development of automated systems that can understand and generate human speech, with applications ranging from virtual assistants to transcription services and more.
Dr. Ibon Oleagordia
Dr. Amaia Méndez-Zorrilla
Prof. Dr. Begoña Garcia-Zapirain
Guest Editors
Manuscript Submission Information
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Keywords
- automatic speech recognition (ASR)
- natural language processing (NLP)
- speaker recognition
- speech synthesis using machine learning
- deep learning techniques
