Computational Linguistics: From Text to Speech Technologies, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 873
Special Issue Editor
Interests: corpus linguistics; machine interpreting; speech-to-text; translation and interpreting technologies; computational phraseology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, advancements in machine learning, natural language processing, artificial intelligence, and speech synthesis have revolutionized how we communicate with other humans and language-based systems. From virtual assistants to language translation tools, the capabilities of these technologies continue to expand, offering new possibilities for communication, accessibility, and innovation.
This Special Issue serves as a platform for the exploration of the latest research, methodologies, and applications that are driving the development of various text-to-speech technologies, such as automatic speech recognition, machine interpreting, speech translation, and speech-to-text software, among others. This Special Issue aims to be of interest to researchers, practitioners, and enthusiasts in the fields of computational linguistics, corpus linguistics, natural language processing, and machine learning. We invite research studies based on neural network architectures, large language models, linguistic modeling, AI-driven systems, and the intersection of linguistics and computer science (including multilingual communication). We also encourage authors to address challenges in the deployment of text-to-speech technologies in practical applications, low-resource languages, and specific domains.
Prof. Dr. Gloria Corpas Pastor
Guest Editor
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Keywords
- artificial intelligence (AI)
- automatic speech recognition (ASR)
- machine interpreting (MI)
- cascaded models
- end-to-end models
- speech to text (STT)
- speech translation, quality estimation
- large language models (LLMs)
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