Cargando…
Deep Learning-Based Speech Enhancement With a Loss Trading Off the Speech Distortion and the Noise Residue for Cochlear Implants
The cochlea plays a key role in the transmission from acoustic vibration to neural stimulation upon which the brain perceives the sound. A cochlear implant (CI) is an auditory prosthesis to replace the damaged cochlear hair cells to achieve acoustic-to-neural conversion. However, the CI is a very co...
Autores principales: | Kang, Yuyong, Zheng, Nengheng, Meng, Qinglin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606413/ https://www.ncbi.nlm.nih.gov/pubmed/34820392 http://dx.doi.org/10.3389/fmed.2021.740123 |
Ejemplares similares
-
A New Approach for Noise Suppression in Cochlear Implants: A Single-Channel Noise Reduction Algorithm()
por: Zhou, Huali, et al.
Publicado: (2020) -
Evaluation of speech perception in noise in cochlear implanted adults
por: do Nascimento, Leandra Tabanez, et al.
Publicado: (2015) -
Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users
por: Goehring, Tobias, et al.
Publicado: (2017) -
Comparing the Speech Perception of Cochlear Implant Users with Three Different Finnish Speech Intelligibility Tests in Noise
por: Willberg, Tytti, et al.
Publicado: (2021) -
Improving Localization and Speech Reception in Noise for Bilateral Cochlear Implant Recipients
por: Potts, Wendy B., et al.
Publicado: (2019)