Cargando…
Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality
Despite great advances in hearing-aid technology, users still experience problems with noise in windy environments. The potential benefits of using a deep recurrent neural network (RNN) for reducing wind noise were assessed. The RNN was trained using recordings of the output of the two microphones o...
Autores principales: | Keshavarzi, Mahmoud, Goehring, Tobias, Zakis, Justin, Turner, Richard E., Moore, Brian C. J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949931/ https://www.ncbi.nlm.nih.gov/pubmed/29708061 http://dx.doi.org/10.1177/2331216518770964 |
Ejemplares similares
-
Transient Noise Reduction Using a Deep Recurrent Neural Network:
Effects on Subjective Speech Intelligibility and Listening
Comfort
por: Keshavarzi, Mahmoud, et al.
Publicado: (2021) -
Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users
por: Goehring, Tobias, et al.
Publicado: (2017) -
Transcranial Alternating Current Stimulation With the Theta-Band Portion of the Temporally-Aligned Speech Envelope Improves Speech-in-Noise Comprehension
por: Keshavarzi, Mahmoud, et al.
Publicado: (2020) -
Vibro-Tactile Enhancement of Speech Intelligibility in Multi-talker Noise for Simulated Cochlear Implant Listening
por: Fletcher, Mark D., et al.
Publicado: (2018) -
Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception
por: Coffey, Emily B. J., et al.
Publicado: (2017)