Transient Noise Reduction Using a Deep Recurrent Neural Network: Effects on Subjective Speech Intelligibility and Listening Comfort

A deep recurrent neural network (RNN) for reducing transient sounds was developed and its effects on subjective speech intelligibility and listening comfort were investigated. The RNN was trained using sentences spoken with different accents and corrupted by transient sounds, using the clean speech...

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Detalles Bibliográficos
Autores principales: Keshavarzi, Mahmoud, Reichenbach, Tobias, Moore, Brian C. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642050/
https://www.ncbi.nlm.nih.gov/pubmed/34606381
http://dx.doi.org/10.1177/23312165211041475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642050/
https://www.ncbi.nlm.nih.gov/pubmed/34606381
http://dx.doi.org/10.1177/23312165211041475

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