Results 21 to 30 of about 243 (116)

Listen Closely: Measuring Vocal Tone in Corporate Disclosures

Journal of Accounting Research, Volume 64, Issue 1, Page 229-277, March 2026.
ABSTRACT We examine the usefulness of machine learning approaches for measuring vocal tone in corporate disclosures. We document a substantial mismatch between the widely adopted actor‐based training data underlying these approaches and speech in corporate disclosures.
Jonas Ewertz, Charlotte Knickrehm, Martin Nienhaus, Doron Reichmann   +3 more
wiley   +1 more source

AI-VoiceTherapy: An Automated Platform for Voice Rehabilitation Using Artificial Intelligence

International Journal of Computer Engineering and Data Science
AI-VoiceTherapy is a mobile platform that leverages artificial intelligence to democratize access to speech therapy. The system uses OpenAI's Whisper model to automatically detect and analyze speech disorders from voice recordings, including stuttering,
Nisrine Lachguer, Ourda Azizi, Soumaya El Mamoune   +2 more
doaj   +4 more sources

Enhanced Named Entity Recognition in Power Grid Operations: A Span-Based Approach for Chinese Dispatch Communications

IEEE Access
Named Entity Recognition (NER) in power grid dispatch operations is critical for operational safety and system reliability. This domain faces unique challenges including domain-specific terminology, nested entity structures, and Chinese language ...
Yantong Zhang, Hongting Zhai, Qingrui Zhang, Qi Zhai, Ruochen Bian, Baochen Liu, Xiande Bu, Xinxin He   +7 more
doaj   +1 more source

Artificial Intelligence in Multimedia Content Generation: A Review of Audio and Video Synthesis Techniques

Journal of the Society for Information Display, Volume 34, Issue 2, Page 49-67, February 2026.
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley   +1 more source

1953

Journal of Hospital Medicine, Volume 21, Issue 1, Page 113-115, January 2026.
Visual ...
Jamila Mammadova
wiley   +1 more source

Silent teachers: Narratives from the simulation lab

Medical Education, Volume 60, Issue 1, Page 46-50, January 2026.
Abstract Introduction Patient mannequins are ubiquitous in simulation‐based medical education, yet their own ‘stories’ remain untold. This paper adopts a playful, phenomenological lens, amplified by artificial intelligence (AI), to explore the fictional ‘lived experiences’ of these silent teachers and reflect on their pedagogical significance.
Aaron Lawson McLean, Anna C. Lawson McLean   +1 more
wiley   +1 more source

Adapting OpenAI’s Whisper for Speech Recognition on Code-Switch Mandarin-English SEAME and ASRU2019 Datasets

2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
This paper details the experimental results of adapting the OpenAI's Whisper model for Code-Switch Mandarin-English Speech Recognition (ASR) on the SEAME and ASRU2019 corpora. We conducted 2 experiments: a) using adaptation data from 1 to 100/200 hours to demonstrate effectiveness of adaptation, b) examining different language ID setup on Whisper ...
Yang, Yuhang, Peng, Yizhou, Zhong, Xionghu, Huang, Hao, Chng, Eng Siong   +4 more
openaire   +2 more sources

Applications of Artificial Intelligence in Neurological Voice Disorders

World Journal of Otorhinolaryngology - Head and Neck Surgery, Volume 11, Issue 4, Page 491-517, December 2025.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao, Aki Koivu, Kristina Simonyan   +2 more
wiley   +1 more source

University Students' Perceptions of a Multimodal AI System for Real‐World Collaboration Analytics: Lessons Learned From a Case Study

Journal of Computer Assisted Learning, Volume 41, Issue 5, October 2025.
ABSTRACT Background Many researchers work on the design and development of multimodal collaboration support systems with AI, yet very few of these systems are mature enough to provide actionable feedback to students in real‐world settings. Therefore, a notable gap exists in the literature regarding students' perceptions of such systems and the feedback
Wannapon Suraworachet, Qi Zhou, Mutlu Cukurova   +2 more
wiley   +1 more source

Potential of ChatGPT in youth mental health emergency triage: Comparative analysis with clinicians

Psychiatry and Clinical Neurosciences Reports, Volume 4, Issue 3, September 2025.
GPT Models were compared to clinicians in their ability to evaluate 22 emergency psychiatry clinical vignettes. The models exhibited substantial interrater reliability with clinicians along with consistent triage mean scores in admission, urgency, and risk.
Samanvith Thotapalli, Musa Yilanli, Ian McKay, William Leever, Eric Youngstrom, Karah Harvey‐Nuckles, Kimberly Lowder, Steffanie Schweitzer, Erin Sunderland, Daniel I. Jackson, Emre Sezgin   +10 more
wiley   +1 more source