Details
| Original language | English |
|---|---|
| Title of host publication | 2020 9th International Conference on Modern Circuits and Systems Technologies |
| Subtitle of host publication | MOCAST 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 9781728166872 |
| Publication status | Published - 2020 |
| Event | 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020 - Bremen, Germany Duration: 7 Sept 2020 → 9 Sept 2020 |
Publication series
| Name | 2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020 |
|---|
Abstract
Choosing a suitable processor architecture for a hearing aid is a difficult task. Various aspects have to be taken into account, like power consumption and silicon area. Also, the computational performance and flexibility of an architecture are essential. Therefore, a wide variety of design goals must be weighted against each other before a final decision for the architecture can be made. In this paper, several configurable audio processors are evaluated, using five commonly known acoustic beamforming algorithms. In order to reduce the exploration time, this paper presents a partly automated design space exploration framework. The hearing aid algorithms are implemented in fixedpoint representation to reduce the computational complexity. This framework includes a fixed-point analysis and an automated reference code generation using MATLAB tools. With the Xtensa Xplorer, different configurations of the Tensilica-based processor architecture are profiled. Finally, a case study is presented to show the usability of the proposed framework.
Keywords
- Acoustic Beamforming, Design Space Exploration, Hearing Aid Processor, Low-Power, MATLAB, Tensilica Fusion, Tensilica Hifi
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Hardware and Architecture
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
- Mathematics(all)
- Control and Optimization
Sustainable Development Goals
Cite this
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2020 9th International Conference on Modern Circuits and Systems Technologies: MOCAST 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9200250 (2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Design Space Exploration Framework for Tensilica-Based Digital Audio Processors in Hearing Aids
AU - Karrenbauer, Jens
AU - Gerlach, Lukas
AU - Paya-Vaya, Guillermo
AU - Blume, Holger
N1 - Funding information: This work was funded by the Deutsche Forschungsgemein-schaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2177/1 - Project ID 390895286.
PY - 2020
Y1 - 2020
N2 - Choosing a suitable processor architecture for a hearing aid is a difficult task. Various aspects have to be taken into account, like power consumption and silicon area. Also, the computational performance and flexibility of an architecture are essential. Therefore, a wide variety of design goals must be weighted against each other before a final decision for the architecture can be made. In this paper, several configurable audio processors are evaluated, using five commonly known acoustic beamforming algorithms. In order to reduce the exploration time, this paper presents a partly automated design space exploration framework. The hearing aid algorithms are implemented in fixedpoint representation to reduce the computational complexity. This framework includes a fixed-point analysis and an automated reference code generation using MATLAB tools. With the Xtensa Xplorer, different configurations of the Tensilica-based processor architecture are profiled. Finally, a case study is presented to show the usability of the proposed framework.
AB - Choosing a suitable processor architecture for a hearing aid is a difficult task. Various aspects have to be taken into account, like power consumption and silicon area. Also, the computational performance and flexibility of an architecture are essential. Therefore, a wide variety of design goals must be weighted against each other before a final decision for the architecture can be made. In this paper, several configurable audio processors are evaluated, using five commonly known acoustic beamforming algorithms. In order to reduce the exploration time, this paper presents a partly automated design space exploration framework. The hearing aid algorithms are implemented in fixedpoint representation to reduce the computational complexity. This framework includes a fixed-point analysis and an automated reference code generation using MATLAB tools. With the Xtensa Xplorer, different configurations of the Tensilica-based processor architecture are profiled. Finally, a case study is presented to show the usability of the proposed framework.
KW - Acoustic Beamforming
KW - Design Space Exploration
KW - Hearing Aid Processor
KW - Low-Power
KW - MATLAB
KW - Tensilica Fusion
KW - Tensilica Hifi
UR - http://www.scopus.com/inward/record.url?scp=85093858085&partnerID=8YFLogxK
U2 - 10.1109/mocast49295.2020.9200250
DO - 10.1109/mocast49295.2020.9200250
M3 - Conference contribution
AN - SCOPUS:85093858085
T3 - 2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020
BT - 2020 9th International Conference on Modern Circuits and Systems Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020
Y2 - 7 September 2020 through 9 September 2020
ER -