READ ME File For 'Dataset: Code for Psychoacoustic Metrics used in "Practical Audio System Design for Private Speech Reproduction"'

Dataset DOI: 10.5258/SOTON/D1486

ReadMe Author: Daniel Wallace, University of Southampton orcid.org/0000-0003-0212-5395	

This dataset supports the PhD Thesis entitled "Practical Audio System Design for Private Speech Reproduction" by Daniel Wallace	

This dataset contains:

Metrics.zip			- A zip archive containing: 	
	Annoyance.m  		- MATLAB function to calculate the Psychoacoustic Annoyance of a given signal.
	FluctuationStrength.m 	- MATLAB function to calculate the Fluctuation Strength of a given signal. 
	Sharpness.m  		- MATLAB function to calculate the Sharpness of a given signal. 
	Noise-30s.wav 		- File containing speech-shaped noise with same spectrum as Speech-30s.wav
	setSPL.m 		- MATLAB function to set the representative Sound Pressure Level of a given signal 
	Speech-30s.wav		- File containing recorded male speech. 
				  Recordings are derived from the Hurricane Natural Speech Corpus (https://doi.org/10.7488/ds/2482) which is licensed under a CC BY-NC 4.0 License. 
	SPL.m 			- MATLAB function to calculate the representative Sound Pressure Level of a given signal
	test_Annoyance.m	- MATLAB script to test each of the metrics in this dataset, using the supplied .wav files. 

Roughness.m 			- MATLAB function to calculate the Roughness of a given signal. 
				  This code is derived from the PsySound3 Project (http://psysound.wikidot.com), which is licensed under a CC BY-SA 3.0 License 

readme.txt 			- This file 

Dependencies: 
Code in this dataset requires the Genesis Loudness Toolbox to run. This can be downloaded from the Internet Archive: 
https://web.archive.org/web/20190509124114/http://genesis-acoustics.com/en/pages/post/sonie.php (Accessed 29/07/2020)

MATLAB is required to run the *.m files in this dataset. Dataset was created and tested using MATLAB R2019a, but may run on other versions of MATLAB.

Licence Information: 
Metrics.zip and readme.txt: CC BY-NC 4.0 
Roughness.m: CC BY-SA 3.0

Related projects: EPSRC Centre for Doctoral Training in Next Generation Computational Modelling - Grant EP/L015382/1

Date that the file was created: 29/07/2020