Results 121 to 130 of about 19,322 (256)
Identifying Language Disorder in Bilingual Children Using Automatic Speech Recognition. [PDF]
Albudoor N, Peña ED.
europepmc +1 more source
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit +43 more
wiley +1 more source
A study of college students' perceptions of utilizing automatic speech recognition technology to assist English oral proficiency. [PDF]
Liu J, Liu X, Yang C.
europepmc +1 more source
A (2R,3R)‐butanediol dehydrogenase from Bacillus subtilis (BsBDH) is engineered for the enantioselective synthesis of 2‐hydroxycyclohexanone. A PASS computational design strategy is proposed to enhance the thermostability of BsBDH. Moreover, ESM‐1v combined with ISM is utilized for enhancing and inverting its stereoselectivity.
Haote Ding +5 more
wiley +1 more source
Erratum: OPRA-RS: A hearing-aid fitting method based on automatic speech recognition and random search. [PDF]
Frontiers Production Office.
europepmc +1 more source
Polycarbonate nanogels enable lipid‐free delivery of anti‐MFAP‐5 siRNA into cancer‐associated fibroblasts (CAF) in hepatocellular carcinoma. In a cirrhotic murine model, this approach silences MFAP‐5, reduces fibroblast activation, and suppresses tumor growth by inhibiting NOTCH/Hes1‐driven angiogenesis. CAF‐targeted MFAP‐5 RNAi and conserved signaling
Paul Schneider +20 more
wiley +1 more source
Demographic and Acoustic Factors related to Automatic Speech Recognition Inaccuracies for Child African American English Speakers. [PDF]
Fletcher BN +8 more
europepmc +1 more source
The development of an automatic speech recognition model using interview data from long-term care for older adults. [PDF]
Hacking C +3 more
europepmc +1 more source
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu +6 more
wiley +1 more source
End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition. [PDF]
Medani M +5 more
europepmc +1 more source

