High-performance DSP platform for digital hearing aid SoC with flexible noise estimation

Sang Won Kim, Min Joon Kim, Jae Seok Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Flexibility and programmability of hearing aids are important because the algorithms applied to hearing aids should be changeable based on different types of hearing impairment and the ambient environment of the user. This paper proposes a high-performance digital signal processing (DSP) platform for a digital hearing aid system on a chip (SoC) with flexible noise estimation. The proposed DSP platform comprises several dedicated accelerators and an application-specific instruction-set processor (ASIP) to achieve flexibility. To handle complex hearing aid algorithms in real time, the main algorithms of hearing aids are executed by hardware accelerators and only environment-sensitive parts of the applied algorithms are implemented as the ASIP. Simulation results show that the proposed DSP platform can handle complex and high-performance algorithms in real time, and that it provides better quality in terms of noise handling by adapting the noise estimation algorithms suitable for the noise environment. The chip area of authors' DSP design is 2.71â€.mm2, and it consumes 1.3â€.mW at 1â€.V operation, 8â€.MHz clock frequency with a 65â€.nm high threshold voltage (HVT) standard cell library.

Original languageEnglish
Article numberIET-CDS.2018.5374
Pages (from-to)717-722
Number of pages6
JournalIET Circuits, Devices and Systems
Volume13
Issue number5
DOIs
Publication statusPublished - 2019 Aug 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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