Non-negative matrix factorization improves the efficiency of recording frequency-following responses in normal-hearing adults and neonates
Author:
Affiliation:
1. Communication Sciences and Disorders, Ohio University, Athens, OH, USA
2. Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
3. Communication Sciences and Disorders, OhioHealth O’Bleness Hospital, Athens, OH, USA
Funder
Ohio University CHSP Article Processing and Open Access Fund
Publisher
Informa UK Limited
Subject
Speech and Hearing,Linguistics and Language,Language and Linguistics
Link
https://www.tandfonline.com/doi/pdf/10.1080/14992027.2022.2071345
Reference29 articles.
1. Context-Dependent Encoding in the Human Auditory Brainstem Relates to Hearing Speech in Noise: Implications for Developmental Dyslexia
2. Increased subcortical neural responses to repeating auditory stimulation in children with autism spectrum disorder
3. Machine learning in detecting frequency-following responses
4. A Demonstration of Machine Learning in Detecting Frequency Following Responses in American Neonates
5. Coastal development threatens Datan area supporting greatest fish diversity at Taoyuan Algal Reef, northwestern Taiwan
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1. Machine Learning Recognizes Frequency-Following Responses in American Adults: Effects of Reference Spectrogram and Stimulus Token;Perceptual and Motor Skills;2024-08-16
2. Advancing Auditory Processing by Detecting Frequency-Following Responses Through a Specialized Machine Learning Model;Perceptual and Motor Skills;2023-12-28
3. Effects of Silent Intervals on the Extraction of Human Frequency-Following Responses Using Non-Negative Matrix Factorization;Perceptual and Motor Skills;2023-08-03
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