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Modern automatic speech recognition (ASR) model is required to accurately transcribe diverse speech signals (from different domains, languages, accents, etc) given the specific contextual information in various application scenarios.…

In recent years we have seen fast progress on a number of benchmark problems in AI, with modern methods achieving near or super human performance in Go, Poker and Dota. One common aspect of all of these challenges is that they are by design…

Artificial Intelligence · Computer Science 2021-05-13 Hengyuan Hu , Jakob N Foerster

We introduce SLED, an alternative approach to speech language modeling by encoding speech waveforms into sequences of continuous latent representations and modeling them autoregressively using an energy distance objective. The energy…

Computation and Language · Computer Science 2025-10-27 Zhengrui Ma , Yang Feng , Chenze Shao , Fandong Meng , Jie Zhou , Min Zhang

Vision-language tracking has gained increasing attention in many scenarios. This task simultaneously deals with visual and linguistic information to localize objects in videos. Despite its growing utility, the development of vision-language…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Xingyu Luo , Yidong Cai , Jie Liu , Jie Tang , Gangshan Wu , Limin Wang

Arabic Optical Character Recognition (OCR) is essential for converting vast amounts of Arabic print media into digital formats. However, training modern OCR models, especially powerful vision-language models, is hampered by the lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Omer Nacar , Yasser Al-Habashi , Serry Sibaee , Adel Ammar , Wadii Boulila

Sign language (SL) is an essential communication form for hearing-impaired and deaf people, enabling engagement within the broader society. Despite its significance, limited public awareness of SL often leads to inequitable access to…

Computation and Language · Computer Science 2025-09-04 Soukeina Elhassen , Lama Al Khuzayem , Areej Alhothali , Ohoud Alzamzami , Nahed Alowaidi

Panoramic X-ray is a simple and effective tool for diagnosing dental diseases in clinical practice. When deep learning models are developed to assist dentist in interpreting panoramic X-rays, most of their performance suffers from the…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Zijian Cai , Xinquan Yang , Xuguang Li , Xiaoling Luo , Xuechen Li , Linlin Shen , He Meng , Yongqiang Deng

The integration of Generative AI (GenAI) into education has raised concerns about over-reliance and superficial learning, particularly in writing tasks in higher education. This study explores whether a theory-driven learning analytics…

Human-Computer Interaction · Computer Science 2025-06-25 Angxuan Chen , Jingjing Lian , Xinran Kuang , Jiyou Jia

AI democratization aims to create a world in which the average person can utilize AI techniques. To achieve this goal, numerous research institutes have attempted to make their results accessible to the public. In particular, large…

Computation and Language · Computer Science 2024-04-03 Kei Sawada , Tianyu Zhao , Makoto Shing , Kentaro Mitsui , Akio Kaga , Yukiya Hono , Toshiaki Wakatsuki , Koh Mitsuda

ChatGPT is a language model based on Generative AI. Existing research work on ChatGPT focused on its use in various domains. However, its potential for Sign Language Translation (SLT) is yet to be explored. This paper addresses this void.…

Computation and Language · Computer Science 2024-01-17 Nada Shahin , Leila Ismail

With the release of Generative AI systems such as ChatGPT, an increasing interest in using Artificial Intelligence (AI) has been observed across domains, including higher education. While emerging statistics show the popularity of using AI…

Computers and Society · Computer Science 2024-03-26 Bart Rienties , John Domingue , Subby Duttaroy , Christothea Herodotou , Felipe Tessarolo , Denise Whitelock

We present CALM, a joint Contextual Acoustic-Linguistic Modeling framework for multi-speaker automatic speech recognition (ASR). In personalized AI scenarios, the joint availability of acoustic and linguistic cues naturally motivates the…

Audio and Speech Processing · Electrical Eng. & Systems 2026-05-14 Muhammad Shakeel , Yosuke Fukumoto , Chikara Maeda , Chyi-Jiunn Lin , Shinji Watanabe

Blind individuals, who by necessity depend on screen readers to interact with computers, face considerable challenges in navigating the diverse and complex graphical user interfaces of different computer applications. The heterogeneity of…

Human-Computer Interaction · Computer Science 2024-07-31 Satwik Ram Kodandaram , Utku Uckun , Xiaojun Bi , IV Ramakrishnan , Vikas Ashok

This study constructed a Japanese chat dataset for tuning large language models (LLMs), which consist of about 8.4 million records. Recently, LLMs have been developed and gaining popularity. However, high-performing LLMs are usually mainly…

Computation and Language · Computer Science 2023-05-23 Masanori Hirano , Masahiro Suzuki , Hiroki Sakaji

Slot and intent detection (SID) is a classic natural language understanding task. Despite this, research has only more recently begun focusing on SID for dialectal and colloquial varieties. Many approaches for low-resource scenarios have…

Computation and Language · Computer Science 2025-01-08 Verena Blaschke , Felicia Körner , Barbara Plank

We present CALLS, a Japanese speech corpus that considers phone calls in a customer center as a new domain of empathetic spoken dialogue. The existing STUDIES corpus covers only empathetic dialogue between a teacher and student in a school.…

Sound · Computer Science 2023-05-24 Yuki Saito , Eiji Iimori , Shinnosuke Takamichi , Kentaro Tachibana , Hiroshi Saruwatari

Large Language Models (LLMs) have impressive data fusion and reasoning capabilities for autonomous driving (AD). However, training LLMs for AD faces significant challenges including high computation transmission costs, and privacy concerns…

Machine Learning · Computer Science 2025-11-13 Tianao Xiang , Mingjian Zhi , Yuanguo Bi , Lin Cai , Yuhao Chen

Providing example sentences that are diverse and aligned with learners' proficiency levels is essential for fostering effective language acquisition. This study examines the use of Pre-trained Language Models (PLMs) to produce example…

Computation and Language · Computer Science 2025-06-05 Enrico Benedetti , Akiko Aizawa , Florian Boudin

Artificial intelligence (AI) retrieval-augmented generation (RAG) tools now enable educators to transform course materials into diverse multimedia at scale. However, it remains unclear whether such AI-generated content functions as a…

Computers and Society · Computer Science 2026-05-19 David James Woo , Deliang Wang , Kai Guo

The count of people suffering from various levels of hearing loss reached 1.57 billion in 2019. This huge number tends to suffer on many personal and professional levels and strictly needs to be included with the rest of society healthily.…

Signal Processing · Electrical Eng. & Systems 2023-12-20 Basma Kalandar , Ziemowit Dworakowski
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