Speech Recognition and Natural Language Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 982
Special Issue Editors
Interests: artificial intelligence (AI); natural language processing (NLP)
Special Issue Information
Dear Colleagues,
Speech Recognition (SR) and Natural Language Processing (NLP) have emerged as two of the most transformative fields in artificial intelligence. This Special Issue aims to explore the latest advancements and challenges in the interdisciplinary fields of Speech Recognition (SR) and Natural Language Processing (NLP). As the demand for intelligent systems capable of understanding and processing human language continues to rise, researchers are increasingly focusing on developing innovative algorithms, models, and applications in these domains. This Special Issue provides a platform for scholars and practitioners to disseminate their cutting-edge research findings, methodologies, and insights, fostering collaboration and driving progress in this dynamically progressive field.
Topics of interest include, but are not limited to, the following:
- Automatic Speech Recognition (ASR) systems;
- Natural Language Understanding (NLU) and interpretation;
- Speech synthesis and generation;
- Sentiment analysis and opinion mining;
- Dialogue systems and conversational interfaces;
- Machine translation and cross-lingual NLP;
- Voice user interfaces (VUIs) and intelligent assistants;
- Language modeling and representation learning;
- End-to-end speech-to-text and text-to-speech systems;
- Speech and language applications.
We invite original research contributions, review articles, case studies, and surveys that advance the state of the art in Speech Recognition and Natural Language Processing. Submissions should present novel methodologies, experimental results, theoretical insights, or practical applications that contribute to the development and understanding of these critical areas.
Dr Asad Abdi
Prof. Dr. Farid Meziane
Guest Editors
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Keywords
- automatic speech recognition
- natural language understanding
- sentiment analysis
- machine translation
- voice user interfaces
- speech-to-text
- text-to-speech
- dialogue systems
- conversational AI
- spoken language understanding
- language modeling
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