Fwd: Call for Papers: IEEE ACM/TASLP Special Issue on Speech & Language Technologies for Low-Resource Languages
-------- Message transféré -------- Sujet : Call for Papers: IEEE ACM/TASLP Special Issue on Speech & Language Technologies for Low-Resource Languages Date : Wed, 29 Mar 2023 04:01:36 -0400 De : IEEE Signal Processing Society marketing@signalprocessingsociety.org Répondre à : marketing@signalprocessingsociety.org Pour : mariani@limsi.fr
Call for Papers: IEEE ACM/TASLP Special Issue on Speech & Language Technologies for Low-Resource Languages SPS_Logo_KO_RGB (1)
CALL FOR PAPERS
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)
TASLP Special Issue on Speech & Language
Technologies for Low-Resource Languages
Speech and language processing is a multi-disciplinary research area that focuses on various aspects of natural language processing and computational linguistics. Speech and language technologies deal with the study of methods and tools to develop innovative paradigms for processing human languages (speech and writing) that can be recognized by machines. Thanks to the incredible advances in machine learning and artificial intelligence techniques that effectively interpret speech and textual sources.
In general, speech technologies include a series of artificial intelligence algorithms that enables the computer system to produce, analyze, modify, and respond to human speech and texts. It establishes a more natural interaction between humans and computers as well as the translation between all human languages with effective analysis of text and speech. These techniques have significant applications in computational linguistics, natural language processing, computer science, mathematics, speech processing, machine learning, and acoustics. Another important application of this technology is the machine translation of text and voice.
There exists a huge gap between speech and language processing in low-resource languages as they have lesser computational resources. With the ability to access vast computational sources from various digital sources, we can resolve numerous language processing problems in real time with enhanced user experience and productivity measures. Speech and language processing technologies for low-resource languages are still in their infancy. Research in this stream will enhance the likelihood of these languages becoming an active part of our life, as their importance is paramount.
Furthermore, the societal shift towards digital media along with spectacular advances in digital media along with processing power, computational storage, and software capabilities with a vision of transferring low-resource computing language resources into efficient computing models.
This special issue aims to explore the language and speech processing technologies to novel computational models for processing speech, text, and language. The novel and innovative solutions focus on content production, knowledge management, and natural communication of low-resource languages. We welcome researchers and practitioners working in speech and language processing to present their novel and innovative research contributions for this special section.
Topics of Interest
* Artificial intelligence-assisted speech & language technologies for low-resource languages * Pragmatics for low-resource languages * Emerging trends in knowledge representation for low-resource languages * Machine translation for low-resource language processing * Automatic speech recognition & speech technology for low-resource languages
* Sentiment & statistical analysis for low-resource languages * Multimodal analysis for low-resource languages * Augment mining for low-resource language processing * Text summarization & speech synthesis * Sentence-level semantics for speech recognition * Information retrieval & extraction of low-resource languages
Submission Guidelines
Manuscripts should be submitted through the Manuscript Central system https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS4w3JzPW2ZRfP14YKdr7N1-yX_m3lSbNV1-WJV7CgXnkW7yln9-2Y5Lr7W7_Nh-151x0pGW195ZrX5-XTx5W3cC_Rw3ZHCqmV2QQNc310vB4W3vx7qg4sP7Q-W7Mrngg1lp59YW7n9Qvg2qkxRyV2Yf933kV0CJW8zpRB56n4k4lV-d0s954gwrYW7V_vbk3_cZmbW4LJg2N3qpjVhW7wPSHr6fLLrNN2dHv8yy7MndW6864Nl7NX5vpW4YHl1D3kWByZW7jbsqG5scWP3W2zGV6F54T0MQW3y2xFC8v2HkBW3h5KQ98BFZN6W8pyWNg7hz-ZW3kDv1.
*Important Dates*
* *Submission deadline: 30 May 2023* * Authors notification: 25 July 2023 * Revised version submission: 29 September 2023 * Final decision notification: 15 December 2023
Guest Editors
* Dr. Chi Lin mailto:clindut@ieee.org, Dalian University of Technology, China * Dr. Chang Wu Yu mailto:cwyu@chu.edu.tw, Chung Hua University, Taiwan * Dr. Ning Wang mailto:wangn@rowan.edu, Rowan University, USA * Dr. Qiang Lin mailto:lqchina@dlust.edu.cn, Dalian University of Technology, China
IEEE Signal Processing Society, 445 Hoes Lane, Piscataway, NJ 08854, USA
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Joseph Mariani