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A Wearable Platform for Research in Augmented Hearing.

Authors
  • Pisha, Louis1
  • Hamilton, Sean2
  • Sengupta, Dhiman2
  • Lee, Ching-Hua1
  • Vastare, Krishna Chaithanya1
  • Zubatiy, Tamara3
  • Luna, Sergio4
  • Yalcin, Cagri3
  • Grant, Alex3
  • Gupta, Rajesh2
  • Chockalingam, Ganz3
  • Rao, Bhaskar D1
  • Garudadri, Harinath1, 3
  • 1 Department of Electrical and Computer Engineering, University of California, San Diego.
  • 2 Department of Computer Science and Engineering, University of California, San Diego.
  • 3 California Institute for Telecommunications and Information Technology (Calit2), University of California, San Diego.
  • 4 Department of Mathematics, University of California, San Diego.
Type
Published Article
Journal
Conference record. Asilomar Conference on Signals, Systems & Computers
Publication Date
Oct 01, 2018
Volume
2018
Pages
223–227
Identifiers
DOI: 10.1109/ACSSC.2018.8645557
PMID: 31379421
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

We have previously reported a realtime, open-source speech-processing platform (OSP) for hearing aids (HAs) research. In this contribution, we describe a wearable version of this platform to facilitate audiological studies in the lab and in the field. The system is based on smartphone chipsets to leverage power efficiency in terms of FLOPS/watt and economies of scale. We present the system architecture and discuss salient design elements in support of HA research. The ear-level assemblies support up to 4 microphones on each ear, with 96 kHz, 24 bit codecs. The wearable unit runs OSP Release 2018c on top of 64-bit Debian Linux for binaural HA with an overall latency of 5.6 ms. The wearable unit also hosts an embedded web server (EWS) to monitor and control the HA state in realtime. We describe three example web apps in support of typical audiological studies they enable. Finally, we describe a baseline speech enhancement module included with Release 2018c, and describe extensions to the algorithms as future work.

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. This record was last updated on 10/06/2020 and may not reflect the most current and accurate biomedical/scientific data available from NLM. The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/31379421
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