Artificial intelligence for cochlear implants: Review of strategies, challenges, and perspectives
B Essaid, H Kheddar, N Batel, MEH Chowdhury… - IEEE …, 2024 - ieeexplore.ieee.org
Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not
only for interacting with machines but also for facilitating communication for individuals with …
only for interacting with machines but also for facilitating communication for individuals with …
[HTML][HTML] Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions
A Frosolini, L Franz, V Caragli, E Genovese… - Sensors, 2024 - mdpi.com
The integration of artificial intelligence (AI) into medical disciplines is rapidly transforming
healthcare delivery, with audiology being no exception. By synthesizing the existing …
healthcare delivery, with audiology being no exception. By synthesizing the existing …
Progress made in the efficacy and viability of deep-learning-based noise reduction
Recent years have brought considerable advances to our ability to increase intelligibility
through deep-learning-based noise reduction, especially for hearing-impaired (HI) listeners …
through deep-learning-based noise reduction, especially for hearing-impaired (HI) listeners …
Advanced Artificial Intelligence Algorithms in Cochlear Implants: Review of Healthcare Strategies, Challenges, and Perspectives
Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not
only for interacting with machines but also for facilitating communication for individuals with …
only for interacting with machines but also for facilitating communication for individuals with …
Enhancing the performance of pathological voice quality assessment system through the attention-mechanism based neural network
Objective Doctors, nowadays, primarily use auditory-perceptual evaluation, such as the
grade, roughness, breathiness, asthenia, and strain scale, to evaluate voice quality and …
grade, roughness, breathiness, asthenia, and strain scale, to evaluate voice quality and …
Ambulatory Phonation Monitoring Using Wireless Headphones With Deep Learning Technology
This study developed a real-time ambulatory phonation monitoring (APM) system that
integrates wireless headphones, mobile apps, and deep neural network (DNN) …
integrates wireless headphones, mobile apps, and deep neural network (DNN) …
Enhancing music recognition using deep learning-powered source separation technology for cochlear implant users
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 …
hearing sounds and greatly enhances their sound listening appreciation. Unfortunately, it …
Leveraging Deep Learning to Enhance Optical Microphone System Performance with Unknown Speakers for Cochlear Implants
Cochlear implants (CI) play a crucial role in restoring hearing for individuals with profound-to-
severe hearing loss. However, challenges persist, particularly in low signal-to-noise ratios …
severe hearing loss. However, challenges persist, particularly in low signal-to-noise ratios …
Multimodal Based Audio-Visual Speech Recognition for Hard-of-Hearing: State of the Art Techniques and Challenges
S Bhaskar, TT Madathil - Indonesian Journal of Electrical …, 2022 - section.iaesonline.com
Multimodal Integration (MI) is the study of merging the knowledge acquired by the nervous
system using sensory modalities such as speech, vision, touch, and gesture. The …
system using sensory modalities such as speech, vision, touch, and gesture. The …