skip to main content
research-article
Free Access

Digital hearing

Published:25 September 2017Publication History
Skip Abstract Section

Abstract

Advances in audio processing help separate the conversation from background noise.

References

  1. Abrams, H., and Kihm, J. An Introduction to MarkeTrak IX: A New Baseline for the Hearing Aid Market, Hearing Review, June 2015, http://bit.ly/2sKl3cL.Google ScholarGoogle Scholar
  2. Edwards, B. A Model of Auditory-Cognitive Processing and Relevance to Clinical Applicability, Ear & Hearing July/August 2016, http://bit.ly/2rX9DpQ.Google ScholarGoogle ScholarCross RefCross Ref
  3. Rönnberg, J., et al. The Ease of Language Understanding (ELU) model: theoretical, empirical, and clinical advances, Front. Syst. Neurosci., 13 July 2013, http://bit.ly/2rtSD93.Google ScholarGoogle Scholar
  4. Wang, D. Deep Learning Reinvents the Hearing Aid, IEEE Spectrum, December 6, 2016, http://bit.ly/2qYmhQm. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Stix, G. How Hearing Works [Video], Scientific American, August 1, 2016, http://bit.ly/2qQsbE0.Google ScholarGoogle Scholar

Index Terms

  1. Digital hearing

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image Communications of the ACM
        Communications of the ACM  Volume 60, Issue 10
        October 2017
        90 pages
        ISSN:0001-0782
        EISSN:1557-7317
        DOI:10.1145/3144574
        Issue’s Table of Contents

        Copyright © 2017 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 25 September 2017

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Popular
        • Pre-selected

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format