A study on signal processing methods applied to hearing aids

Kąkol, Krzysztof; Kostek, Bożena

doi:10.1109/spa.2016.7763616

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…The main focus of related work, i.e., technical studies, surveys or overview papers, addressing the hearing aid signal processing, is on current and future hearing aid algorithms. The first related study [26] presents stateof-the-art signal processing in hearing aids. Among the studied techniques and algorithms are feedback reduction, Components of a common behind the ear hearing aid device [11].…”

Section: Introductionmentioning

confidence: 99%

A Survey on Application Specific Processor Architectures for Digital Hearing Aids

Gerlach

Payá-Vayá

Blume

2021

J Sign Process Syst

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On the one hand, processors for hearing aids are highly specialized for audio processing, on the other hand they have to meet challenging hardware restrictions. This paper aims to provide an overview of the requirements, architectures, and implementations of these processors. Special attention is given to the increasingly common application-specific instruction-set processors (ASIPs). The main focus of this paper lies on hardware-related aspects such as the processor architecture, the interfaces, the application specific integrated circuit (ASIC) technology, and the operating conditions. The different hearing aid implementations are compared in terms of power consumption, silicon area, and computing performance for the algorithms used. Challenges for the design of future hearing aid processors are discussed based on current trends and developments.

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Section: Introductionmentioning

confidence: 99%

A Survey on Application Specific Processor Architectures for Digital Hearing Aids

Gerlach

Payá-Vayá

Blume

2021

J Sign Process Syst

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“…Furthermore, the signal processing (SP) module is central to AHDs, and the choice of algorithm, number of channels/filterbanks, architectural design, programmability, and implementation strategies effect and can influence the desired signal quality and power in HAs or electric stimulation in CIs. Other factors include processing delay, spectral and temporal resolution, signal to noise ratio, signal envelope, attack and release times for automatic-gain control etc., [13]. These attributes of the processed signal/electrical stimulation determine the speech/music quality, speech intelligibility, temporal fine structure, timbre and customizability based on user preference.…”

Section: Introductionmentioning

confidence: 99%

Testing Paradigms for Assistive Hearing Devices in Diverse Acoustic Environments

2018

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Many individuals worldwide are at risk of hearing loss due to unsafe acoustical exposure and chronic listening experience using personal audio devices. Assistive hearing devices(AHD), such as hearing-aids(HAs) and cochlear-implants(CIs) are a common choice for the restoration and rehabilitation of the auditory function. Audio sound processors in CIs and HAs operate within limits, prescribed by audiologists, not only for acceptable sound perception but also for safety reasons. Signal processing(SP) engineers follow best design practices to ensure reliable performance and incorporate necessary safety checks within the design of SP strategies to ensure safety limits are never exceeded irrespective of acoustic environments. This paper proposes a comprehensive testing and evaluation paradigm to investigate the behavior of audio devices that addresses the safety concerns in diverse acoustic conditions. This is achieved by characterizing the performance of devices with large amounts of acoustic inputs and monitoring the output behavior. The CCi-MOBILE Research-Interface(RI) (used for CI/HA research) is used in this study as the testing paradigm. Factors such as pulse-width(PW), inter-phase gap(IPG) and a number of other parameters are estimated to evaluate the impact of AHDs on hearing comfort, subjective sound quality and characterize audio devices in terms of listening perception and biological safety.

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Classification of Harmful Noise Signals for Hearing Aid Applications using Spectrogram Images and Convolutional Neural Networks

Zaman

Şah

Direkoğlu³

2020

2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

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A study on signal processing methods applied to hearing aids

Cited by 3 publications

References 4 publications

A Survey on Application Specific Processor Architectures for Digital Hearing Aids

A Survey on Application Specific Processor Architectures for Digital Hearing Aids

Testing Paradigms for Assistive Hearing Devices in Diverse Acoustic Environments

Classification of Harmful Noise Signals for Hearing Aid Applications using Spectrogram Images and Convolutional Neural Networks

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