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-----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------
Copyright (c) 2017 Tampere University and its licensors
All rights reserved.
Permission is hereby granted, without written agreement and without license or royalty fees, to use and copy the code for the method present
in the GitHub repository with the identifier wavetransformer (available at: https://github.com/haantran96/wavetransformer), (“Work”) described in the paper with
title "WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information" and composed of files with code in the Python programming language. This grant is only for experimental and non-commercial purposes,
provided that the copyright notice in its entirety appear in all copies of this Work, and the original source of this Work, (Audio Research Group, Lab. of Signal Processing) at Tampere University, is acknowledged in any publication that reports research using this Work.
Any commercial use of the Work or any part thereof is strictly prohibited.
Commercial use include, but is not limited to:
- selling or reproducing the Work
- selling or distributing the results or content achieved by use of the Work
- providing services by using the Work.
IN NO EVENT SHALL TAMPERE UNIVERSITY OR ITS LICENSORS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS WORK AND ITS DOCUMENTATION, EVEN IF TAMPERE UNIVERSITY OR ITS LICENSORS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
TAMPERE UNIVERSITY AND ALL ITS LICENSORS SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE WORK PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE TAMPERE UNIVERSITY HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
-----------COPYRIGHT NOTICE ENDS WITH THIS LINE------------