May 2020 | Software

WAWEnets Reference Implementations

Andrew A. Catellier ORCID logo and Stephen D. Voran ORCID logo

Abstract:

This GitHub repository presents MATLAB®/Octave and C++ implementations of Wideband Audio Waveform Evaluation networks or WAWEnets. This WAWEnets implementation produces one or more speech quality or intelligibility values for each input speech signal without using reference speech signals. WAWEnets are convolutional neural networks and they have been trained using full-reference objective speech quality and speech intelligibility values.

Keywords: speech quality; full reference (FR); speech intelligibility; convolutional neural network (CNN)

Related Publications:

Conference Paper:

For technical information concerning this report, contact:

Stephen D. Voran
Institute for Telecommunication Sciences
(720) 446-6425
svoran@ntia.gov

For funding information concerning this report, click this link.

Performing Agency

U.S. Department of Commerce

National Telecommunications and Information Administration

Institute for Telecommunication Sciences

325 Broadway

Boulder, CO 80305

https://ror.org/00mj5bc69

Funding Agency

U.S. Department of Commerce

National Telecommunications and Information Administration

Herbert C. Hoover Building

14th & Constitution Ave., N.W.

Washington, D.C. 20230

For questions or information on this or any other NTIA scientific publication, contact the ITS Publications Office at ITSinfo@ntia.gov or 303-497-3572.

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