Search Results - "Automatic speech recognition"

Automatic Speech Recognition for Intelligibility Assessment in Children With Dysarthria.

Authors: Choi, Jiyoung Moya-Galé, Gemma Hwang, KyungHae et al.

Source: Journal of Speech, Language & Hearing Research. Apr2026, Vol. 69 Issue 4, p1438-1454. 17p.

Subject Terms: *Dysarthria, *Data analysis, *Intelligibility of speech, *Listening, *Speech evaluation, *Research, *Speech perception, *Children, Automatic speech recognition, Cerebral palsy, Descriptive statistics, Statistics, Judgment (Psychology), Data analysis software, Regression analysis, Disease complications

Improved Speech Recognition for Children With Limited Usable Hearing Unilaterally When Using a Remote Microphone in a Simulated Classroom Setting.

Authors: Neumann, Sara Wolfe, Jace Dunn, Andrea et al.

Source: American Journal of Audiology. Mar2026, Vol. 35 Issue 1, p118-131. 14p.

Subject Terms: *School environment, *Psychology of middle school students, *Data analysis, *Psychology of school children, *Listening, *Simulation methods in education, *Hearing disorders, *Speech perception, *Comparative studies, *Hearing, *Children, Automatic speech recognition, Wireless communications, Research funding, Noise, T-test (Statistics), Sensorineural hearing loss, Fisher exact test, Descriptive statistics, Analysis of variance, Statistics, Quality assurance, Transducers

Testing Sentence-in-Noise Recognition With Synthetic Speech and Automatic Speech Recognition.

Authors: Calandruccio, Lauren Weidman, Dani Leatherwood, Aja et al.

Source: Journal of Speech, Language & Hearing Research. Dec2025, Vol. 68 Issue 12, p6114-6128. 15p.

Subject Terms: *Auditory perception testing, *Data analysis, *Artificial intelligence, *Speech perception, *Auditory perception, *Comparative studies, Automatic speech recognition, Noise, Research funding, Statistical sampling, Descriptive statistics, Statistics, Acoustic stimulation

Imperfect Captions Paired to Audiovisual Stimuli Improve Speech Recognition but Do Not Reduce Listening-Related Fatigue.

Authors: Esser, Katie Picou, Erin M. Hornsby, Benjamin W. Y.

Source: American Journal of Audiology. Sep2025, Vol. 34 Issue 3, p661-675. 15p.

Subject Terms: *Audiovisual materials, *Cognitive testing, *Data analysis, *Fatigue (Physiology), *Listening, *Audiometry, *Pre-tests & post-tests, *Memory, *Speech perception, *Automation, *Hearing disorders, *Comparative studies, *Adults, Automatic speech recognition, Sensory stimulation, Task performance, Ecology, Research funding, Speech, Statistical sampling, Empirical research, Treatment effectiveness, Randomized controlled trials, Descriptive statistics, Analysis of variance, Statistics, Data analysis software

The Power of Vision on Speech Recognition Among Older People.

Authors: Yuming Liu Tianju Ma Zi Ye et al.

Source: Journal of Speech, Language & Hearing Research. Aug2025, Vol. 68 Issue 8, p3789-3797. 9p.

Subject Terms: *Audiometry, *Speech perception, *Comparative studies, *Cognition, Automatic speech recognition, T-test (Statistics), Chi-squared test, Visual acuity, Data analysis software, Middle age, Old age

Geographic Terms: China

Equipping Speech-Language Clinicians for the Critical Appraisal of an Artificial Intelligence--Driven, Evidence-Based Future.

Authors: Benway, Nina R. Preston, Jonathan L.

Source: Language, Speech & Hearing Services in Schools. Jul2025, Vol. 56 Issue 3, p442-468. 27p.

Subject Terms: *Artificial intelligence, *Professional employee training, *Machine learning, *Automation, *Speech therapy, *Algorithms, Automatic speech recognition, Medical protocols, Data security, Digital technology, Medical care use, Professional practice, Organizational ethics, Research evaluation, Conceptual structures, Evidence-based medicine, Sensitivity & specificity (Statistics)

SLM 기반 음성 지원 데이터베이스 검색 시스템.

Alternate Title: An SLM-based Voice Support Database Retrieval System.

Authors: 금현주 최종근

Source: Journal of Internet Computing & Services. Apr2026, Vol. 27 Issue 2, p47-56. 10p.

Speech recognition in adverse conditions: synthetic transformations and real environmental noise.

Authors: Katkov, Sergei Liotta, Antonio Vietti, Alessandro

Source: EURASIP Journal on Audio Speech & Music Processing. 4/10/2026, Vol. 2026 Issue 1, p1-26. 26p.

Subjects: Automatic speech recognition, Noise pollution, Data augmentation, Speech perception, Robust statistics

Effects of Fundamental Frequency and Vocal Tract Resonance on Sentence Recognition in Noise.

Authors: Jing Yang A. Xianhui Wang Victoria Costa et al.

Source: Journal of Speech, Language & Hearing Research. Jun2025, Vol. 68 Issue 6, p3011-3022. 12p.

Subject Terms: *Intelligibility of speech, *Speech perception, *Auditory perception, *Comparative studies, Vocal cords, Automatic speech recognition, T-test (Statistics), Logistic regression analysis, Sex distribution, Descriptive statistics, Physiological aspects of speech, Nose, Psychometrics, Acoustic stimulation, Sensitivity & specificity (Statistics)

Multi-Task Learning-Based Speech Emotion Recognition Using Pre-Trained Acoustic Model.

Authors: Wang, Xiaoyu Yao, Kai Yi, Ying

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p5166, 21p

Systematic Annotation Framework for Robust Speech Recognition.

Authors: Wang, Zhong Cao, Chunjie Xie, Xia et al.

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p4850, 25p

JODAL: Joint Domain Adversarial Learning for TTS-Augmented Automatic Speech Recognition.

Authors: Kim, June-Woo Jung, Ho-Young

Source: Mathematics (2227-7390). May2026, Vol. 14 Issue 5, p1669. 24p.

Automatic Speech Based Medical Report Generator.

Authors: Ch. D., Uma Sankar K., Bala Aparna I., Divya Sree et al.

Source: Journal of Computational Analysis & Applications; 2026, Vol. 35 Issue 5, p12-17, 6p

A User Recognition Methodology Based on Voice Biometrics and Dynamic Clustering for Social Robots.

Authors: Segura-Bencomo, Arecia Maroto-Gómez, Marcos Gamboa-Montero, Juan José et al.

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4548, 29p

Performance Evaluation of an XR-based Immersive Room for Climate Change Storytelling Using Multisensory Interaction.

Authors: Rante, Hestiasari Zainuddin, M. Agus Prasetya, Sonki et al.

Source: International Journal of Technology; 2026, Vol. 17 Issue 3, p883-900, 18p

AI-Based Framework for Arabic Language Proficiency Assessment: A Deep Learning ASR Model with Enhanced Similarity Measures.

Authors: Badawi, Sufian A. Takruri, Maen Salameh, Khouloud et al.

Source: Future Internet. May2026, Vol. 18 Issue 5, p251. 29p.

生成式人工智慧與量子計算智慧工具 於台英語人機互動學習應用.

Alternate Title: Applications of Generative AI and Quantum CI Tool in Taiwanese-English Human-Machine Interactive Learning.

Authors: 李健興 王美慧 　岳朝泉 et al.

Source: Journal of Advanced Technology & Management. May2026, Vol. 14 Issue 2, p64-92. 29p.

A Hybrid Semantic-Acoustic Transformer for Vocal Burst Emotion Recognition Using Wav2Vec 2.0 and Whisper ASR.

Authors: Tyagi, Suryakant Szénási, Sándor

Source: Algorithms. May2026, Vol. 19 Issue 5, p416. 17p.

Multi-Similarity Checking-Based Spoken Content Video Retrieval Using Enhanced Mayfly Optimization-Based Weighted Feature Selection.

Authors: Debnath, A. Sreenivasa Rao, K. Das, Partha P.

Source: International Journal of Image & Graphics. May2026, Vol. 26 Issue 3, p1-27. 27p.

Layer-Wise Probing of Paralinguistic Attributes in Fine-Tuned Whisper for Kazakh Speech.

Authors: Aldabergen, Aimoldir Kynabay, Bakdaulet Kadyrov, Shirali

Source: Engineering, Technology & Applied Science Research; Apr2026, Vol. 16 Issue 2, p33399-33404, 6p