Cost-effective sparsity aware acoustic feedback canceller

Year 2024, Volume: 13 Issue: 4, 1468 - 1477, 15.10.2024

Yusuf Eren , Engin Cemal Mengüç

https://doi.org/10.28948/ngumuh.1519986

Abstract

One of the important problems encountered in acoustic feedback canceller (AFC) systems is the AF path has a sparse nature. This situation deteriorates the convergence rate and steady-state error of AFC systems. On the other hand, large-scale source signals such as speech/music and using high filter orders increase the computational cost of AFC systems. To this end, in this study, a cost-effective
-norm-online censoring (OC)-least mean square (LMS)
( -OC-LMS) based AFC system ( -OC-AFC) is proposed, which solves the sparse problem of the AF path by processing only informative data instead of all the data. Thus, the proposed AFC system significantly contributes to reducing the computational complexity without sacrificing its performance. This is achieved by combining the OC strategy and the penalty norm promoting sparsity. The proposed -OC-AFC system is comprehensively tested in terms of the misalignment (MIS) and the added stable gain (ASG) on real-world long sparse AF paths measured from a behind-the-ear hearing aid. Simulation results reveal the effectiveness of the proposed -OC-AFC system.

Keywords

Adaptive filter, Sparsity, Least mean square algorithm, Acoustic feedback canceller, Online censoring strategy

Supporting Institution

Scientific Research Projects Coordination Unit of Kayseri University

Project Number

FBA-2022-1094

Thanks

This work was partially supported by the Scientific Research Projects Coordination Unit of Kayseri University (grant: FBA-2022-1094).

Uygun maliyetli seyrekliğe duyarlı akustik geri besleme giderici

Abstract

Akustik geri besleme giderici (acoustic feedback canceller, AFC) sistemlerinde karşılaşılan önemli sorunlardan biri AF yolunun seyrek bir doğaya sahip olmasıdır. Bu durum AFC sistemlerinin yakınsama oranını ve kararlı durum hatasını kötüleştirir. Öte yandan konuşma/müzik gibi büyük ölçekli kaynak sinyalleri ve yüksek filtre derecelerinin kullanılması AFC sistemlerinin hesaplama maliyetini artırmaktadır. Bu amaçla, bu çalışmada, uygun maliyetli
-norm-çevrim içi sansürleme (online censoring, OC)-en küçük ortalama kare (least mean square, LMS)
( -OC-LMS) tabanlı AFC sistemi ( -OC-AFC) önerilmiştir. Tüm veriler yerine yalnızca bilgilendirici verileri işleyerek AF yolunun seyrek sorununu ortadan kaldırır. Böylece önerilen AFC sistemi, performansından ödün vermeden hesap yükünün azaltılmasına önemli ölçüde katkıda bulunur. Bu, OC stratejisi ve seyrekliği teşvik eden ceza normunun birleştirilmesiyle elde edilir. Önerilen -OC-AFC sistemi, kulak arkası işitme cihazından ölçülen gerçek dünyadaki uzun seyrek AF yolları üzerinde yanlış ayarlama (misalignment, MIS) ve eklenmiş sabit kazanç (added stable gain, ASG) açısından kapsamlı bir şekilde test edilmiştir. Benzetim sonuçları önerilen -OC-AFC sisteminin etkinliğini ortaya koymaktadır.

Keywords

Adaptif filtre, Seyreklik, En küçük kare algoritması, Akustik geri besleme giderici, Çevrim içi sansürleme stratejisi

Supporting Institution

Kayseri Üniversitesi Bilimsel Araştırma Projeleri Birimi

Project Number

FBA-2022-1094

Thanks

Bu çalışma, Kayseri Üniversitesi Bilimsel Araştırma Projeleri Birimi tarafından FBA-2022-1094 kodlu proje ile kısmen desteklenmiştir.

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