Testing Sentence-in-Noise Recognition With Synthetic Speech and Automatic Speech Recognition.
Calandruccio L; Weidman D; Leatherwood A; Buss E · 2025 · Journal of speech, language, and hearing research : JSLHR
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Purpose Characterizing speech-in-noise recognition is fundamental to both clinical audiology and hearing research. Current methods rely on human speech recordings and human testers. However, modern artificial intelligence tools could…
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Metadata source: Europe PMC · DOI 10.1044/2025_jslhr-24-00893