A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms

A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms

Effective noise reduction and speech enhancement algorithms have great potential to enhance lives of hearing aid users by restoring speech intelligibility. An open problem in today’s commercial hearing aids is how to take into account users’ preferences, indicating which acoustic sources should be s...

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Bibliographic Details
Main Authors: Bart van Erp, Albert Podusenko, Tanya Ignatenko, Bert de Vries
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
Bayesian machine learning
factor graphs
noise reduction
situated soundscaping
speech enhancement
variational message passing
Online Access:https://www.mdpi.com/2076-3417/11/20/9535

Internet

https://www.mdpi.com/2076-3417/11/20/9535

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