Results 201 to 210 of about 35,015 (307)

Characterizing Dysarthria Diversity for Automatic Speech Recognition: A Tutorial from the Clinical Perspective. [PDF]

Front Comput Sci, 2022
Rowe HP, Gutz SE, Maffei MF, Tomanek K, Green JR.   +4 more
europepmc   +1 more source

Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery

Advanced Science, EarlyView.
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska, Kristina Bartmann, Georgea Raad, Mats Schade, Luiz Ladeira, Arif Dönmez, Jördis Klose, Nicolai Görts, Denis Polozij, Lynn‐Christin Saborowski, Farina Bendt, Bernard Staumont, Liesbet Geris, Katharina Koch, Ellen Fritsche   +14 more
wiley   +1 more source

Speech-Based Parkinson's Detection Using Pre-Trained Self-Supervised Automatic Speech Recognition (ASR) Models and Supervised Contrastive Learning. [PDF]

Bioengineering (Basel)
Sedigh Malekroodi H, Madusanka N, Lee BI, Yi M.   +3 more
europepmc   +1 more source

Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy. [PDF]

Sensors (Basel), 2022
Wang D, Wei Y, Zhang K, Ji D, Wang Y.
europepmc   +1 more source

HNRNPU K181 Lactylation Drives Cervical Cancer Growth by Upregulating PHGDH and Reprogramming Serine Metabolism

Advanced Science, EarlyView.
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang, Qingfei Meng, Hui Jiao, Huixin Liu, Xiangchao Wang, Honglan Zhou, Yishu Wang   +6 more
wiley   +1 more source

Automatic Speech Recognition in Primary Progressive Apraxia of Speech. [PDF]

J Speech Lang Hear Res
Tetzloff KA, Wiepert D, Botha H, Duffy JR, Clark HM, Whitwell JL, Josephs KA, Utianski RL.   +7 more
europepmc   +1 more source

REFINING AUTOMATIC SPEECH RECOGNITION SYSTEM FOR OLDER ADULTS. [PDF]

Proc IEEE Int Conf Acoust Speech Signal Process, 2021
Chen L, Asgari M.
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Leveraging Uncertainty for Finnish L2 Speech Scoring with LLMs

Automatic speech assessment (ASA) supports learning but often requires extensive data, which is scarce for languages with fewer learners. Recent research shows that Large Language Models (LLMs) can generalize to new tasks with minimal training data using
Grósz, Tamás, Kurimo, Mikko, Voskoboinik, Ekaterina, Phan, Nhan   +3 more
core  

Usefulness of Automatic Speech Recognition Assessment of Children With Speech Sound Disorders: Validation Study. [PDF]

J Med Internet Res
Kim DH, Jeong JW, Kang D, Ahn T, Hong Y, Im Y, Kim J, Kim MJ, Jang DH.   +8 more
europepmc   +1 more source