Analyzing the trade-off between power consumption and beamforming algorithm performance using a hearing aid ASIP

Gerlach, Lukas; Payá-Vayá, Guillermo; Liu, Shuang; Weisbrich, Moritz; Blume, Holger; Marquardt, Daniel; Doclo, Simon

doi:10.1109/samos.2017.8344615

Cited by 3 publications

(2 citation statements)

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“…(11), keeping other terms constant. From Section 5.3, we obtain the value of P DSP Gerlach et al 39 Adaptive beam forming algorithm Audio No approximation techniques used, no perceptual metric 9 Kadiyala et al 21 Approximate library Audio Optimization based on perceptual metric, only greedy method used-sub-optimal approximate solution, coarse error models, scalable library approach 10…”

Section: Discussionmentioning

confidence: 99%

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An Optimum Inexact Design for an Energy Efficient Hearing Aid

Kadiyala¹,

Sen²,

Mahajan³

et al. 2019

Journal of Low Power Electronics

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Inexact design has proved to be an efficient way of obtaining power savings with a marginal penalty on performance in applications which do not need high degree of output accuracy. Such applications are often found in domains which deal with human sensorial systems. The 'not so perfect' state of human senses like sight, hearing which are important for video and audio related appliances can compensate for the error introduced due to inexact design. An efficient analysis and modelling of these compensation capabilities of human senses can help the designers to build optimum inexact architectures meeting the redefined requirements with low power. In this work, we choose hearing aid as our test application, which is based on human sense of hearing. We estimate a metric Intelligibility, for a set of audio samples, which is obtained from multiple surveys on human subjects to model the sensorial processing. Our methodology uses a novel way of introducing inexactness in an optimum manner. This includes a fine grained analysis of the error that is being introduced in the FIR filters of the DSP present in hearing aid. The resulting inexact FIR filter bank is 1.92× or 2.56× more efficient in terms of power consumed while producing 10% or 20% less intelligible speech respectively when compared with a hearing-aid using exact filters.

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Section: Discussionmentioning

confidence: 99%

“…On the other hand works like Refs. [37][38][39], focused on reducing power dissipation in hearing aids with techniques like optimizing the algorithms, using charge recovery architectures, adaptive beam forming algorithms respectively. These works which focused on audio applications, are yet to tap approximate architecture.…”

Section: Discussionmentioning

confidence: 99%