AIMC Topic: Deafness
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Enhancing music recognition using deep learning-powered source separation technology for cochlear implant users.
The Journal of the Acoustical Society of America
Mar 1, 2024
Cochlear implant (CI) is currently the vital technological device for assisting deaf patients in hearing sounds and greatly enhances their sound listening appreciation. Unfortunately, it performs poorly for music listening because of the insufficient...
The Impact of Artificial Intelligence on Quality of Life for Deaf and Hard of Hearing Students.
American annals of the deaf
Jan 1, 2024
This research study synthesizes research on applications of artificial intelligence (AI) to transform and improve quality of life for deaf and hard of hearing students. Twenty studies were analyzed, spanning domains including AI-enabled captioning, i...
Deep Learning-Based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients.
Ear and hearing
Jan 1, 2018
OBJECTIVE: We investigate the clinical effectiveness of a novel deep learning-based noise reduction (NR) approach under noisy conditions with challenging noise types at low signal to noise ratio (SNR) levels for Mandarin-speaking cochlear implant (CI...
[The application of artificial neural network on the assessment of lexical tone production of pediatric cochlear implant users].
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
Aug 7, 2017
The present study was carried out to explore the tone production ability of the Mandarin-speaking children with cochlear implants (CI) by using an artificial neural network model and to examine the potential contributing factors underlining their to...
Preschool television programmes: analysis using SmartSound IQ data logging.
Cochlear implants international
Jan 1, 2015
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