Paper Info
Title
Efficient Modeling of Acoustic Feedback Path in Hearing Aids by Voice Activity Detector-Supervised Multiple Noise Injections.
Abstract
Adaptive Feedback Cancellation (AFC) techniques are widely used to eliminate the undesired acoustic feedback effect arising in the Hearing Aid Devices (HADs) due to the coupling between the speaker and the microphone of the HAD. This paper proposes a method to eliminate the acoustic feedback effect in the HADs in presence of noisy environment. The method involves utilization of a computationally efficient Spectral Flux feature-based voice activity detector (VAD), which controls the process of Noise Injection in the proposed AFC algorithm (SFNIAFC). The proposed algorithm's performance is objectively evaluated using Misalignment (MISA) and Perceptual Evaluation of Speech Quality (PESQ) criteria for realistic noisy conditions. The simulations performed for the proposed method shows faster convergence and reduction in the MISA values with high PESQ values in comparison to the earlier method. Subjective test results support the effectiveness and better performance of the proposed algorithm for the HAD applications over earlier method.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8513007
EMBC
Field
DocType
Volume
Computer vision,Noise measurement,Hearing aid,Computer science,Signal-to-noise ratio,Speech recognition,White noise,Artificial intelligence,Loudspeaker,Microphone,PESQ,Adaptive feedback cancellation
Conference
2018
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Parth Mishra100.34
Serkan Tokgoz200.34
Issa M. S. Panahi34914.53