Efficient low delay reconfigurable filter bank using parallel structure for hearing aid applications with IoT

Swamy, K. Ayyappa; Alex, Zachariah C.

doi:10.1007/s00779-021-01600-w

Cited by 9 publications

(7 citation statements)

References 21 publications

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“…The parallel structure filter has been introduced by Swamy and Alex [15] for the HA system for better signal; frequency. Here, the filter is mod-eled with the reconfigurable parameters that contain several sub-bands to process the different frequency range signals.…”

Section: Related Workmentioning

confidence: 99%

“…If the data is realistic, it has taken more resources and time to de-noise the signal; also, the conventional filter has afforded the average outcomes [13]. Several filtering approaches, such as a novel key element based on cloud serve VBF [14], parallel structure filter [15], etc., have been implemented in the past. But, the appropriate filtered output was not gained, so the current research work has aimed to design a novel power-efficient, optimized filter model for HAA application.…”

Section: Introductionmentioning

confidence: 99%

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VHDL based Design of an Efficient Hearing Aid Filter using an Intelligent Variable-Bandwidth-Filter

Rawandale¹,

Ganorkar²,

Kolte³

2023

IJACSA

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Filtering techniques have been elaborated in the HA field to improve signal clarity and enhance the hearing capacity of deaf people. However, public sounds are highly noisy, so filtering those signals is not an easy task. Hence, the present article has aimed to develop a novel Ant Lion based power Noise-Variable Bandwidth Filter (ALPN-VBF) for the HA applications. Here, the proposed optimized power efficient filter has incorporated several functions like de-noising and frequency tuning based on the word features. Here, the signal's noise has been removed with the maximum possible range with the help of High-pass-Filter (HPF) and low-pass filter (LPF). Finally, the developed model is tested with a few audiograms, and the filter parameters have been analyzed and compared with other models. The testing results have proved that the designed filter is better in frequency tuning and signal transmission than the previous approaches by attaining less delay and reduced power consumption rate.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

VHDL based Design of an Efficient Hearing Aid Filter using an Intelligent Variable-Bandwidth-Filter

Rawandale¹,

Ganorkar²,

Kolte³

2023

IJACSA

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“…This work is mainly used in the handling scenarios of robotic arms. Swamy and Alex [3] implemented a new reconfigurable filter bank using a parallel structure for reducing the delay in hearing aid applications with internet of things. The developed structure was validated with five dissimilar audiograms having mild conductive hearing loss, mild hearing loss at a middle frequency, mild hearing loss at high frequency, mild hearing loss at low frequency, and moderate hearing loss at high frequency.…”

Section: Submission and Summary Of Contributionsmentioning

confidence: 99%

Ultra-low power wearables

Parameshachari

Rocha

Fung

2021

Pers Ubiquit Comput

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“…The shift in the auditory threshold for detecting a pure tone relative to a normal ear is commonly used International Journal of Intelligent Engineering and Systems, Vol. 16 to quantify hearing loss [9]. Because of this, there are many different kinds of hearing aids with various features and functions to meet other demands.…”

Section: Introductionmentioning

confidence: 99%

“…Although it satisfies the above problems, sometimes it is less focused on power consumption, efficient implementation and optimization for realtime operation [14]. DSP has also been used to enhance HA to reduce hearing loss's negative effects [15,16]. Compared to other approaches, the power utilization and the surface area are limited in the DSP [17].…”

Section: Introductionmentioning

confidence: 99%

Aquila Based Adaptive Filtering for Hearing Aid with Optimized Performance

2023

IJIES

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In recent days, one of the most serious health problems in humans is hearing loss. For helping the hearing impairment, the Hearing Aid (HA) system is used, but it may lack in various aspects such as delay, matching error, power consumption, low complexity and unwanted noise. Many techniques were introduced to overcome these issues, but they still have problems. Therefore, this research uses a novel Aquila-based Adaptive Filter (AbAF) for improving the HA system with the optimized parameters of filter. Here, the incorporation of the Aquila optimizer along with the adaptive filter is considered as the key novelty of this present work. The main motive of this proposed model is to filter the noisy features more possible range for improve the HA performance. Hence, the Aquila agent removes the unwanted noise by updating the adaptive processor's filter coefficient and optimizing the filter parameters such as matching error, delay, complexity, and bandwidth and power consumption. Moreover, the suggested model is designed and executed in the MATLAB platform. Finally, the performance parameters were estimated and compared with the past studies to validate the performance improvement. The presented model scored the reduced Matching error as 0.3% and reduced power consumption as 10%, which quite lower than the compared models.

show abstract

Efficient low delay reconfigurable filter bank using parallel structure for hearing aid applications with IoT

Cited by 9 publications

References 21 publications

VHDL based Design of an Efficient Hearing Aid Filter using an Intelligent Variable-Bandwidth-Filter

VHDL based Design of an Efficient Hearing Aid Filter using an Intelligent Variable-Bandwidth-Filter

Ultra-low power wearables

Aquila Based Adaptive Filtering for Hearing Aid with Optimized Performance

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