Commit d3ba9173 authored by dualberger's avatar dualberger

reformatting

parent fc614b80
### General remarks
The intrusive binaural audio quality model BAM-Q (Fleßner et al., 2017) requires the clean
and the distorted signal as input to estimate perceived binaural quality differences.
Stereo signals ([left channel right channel]) are required as model input. A stimuli level of
......@@ -25,7 +27,7 @@ A more detailed description of BAM-Q is given in:
J.-H. Fleßner, R. Huber, and S. D. Ewert, "Assessment and Prediction of Binaural Aspects of Audio Quality",
Journal of the Audio Engineering Society, vol. 65, no.11, PP.929-942. 2017. https://doi.org/10.17743/jaes.2017.0037
### Abstract:
**Abstract**:
Binaural or spatial presentation of audio signals has become increasingly important in
consumer sound reproduction, but also for hearing assistive devices like hearing aids, where
signals in both ears might undergo heavy signal processing. Such processing might introduce
......@@ -41,7 +43,7 @@ different hearing aid algorithms were used to evaluate the performance of the mo
correlations between subjective mean ratings and model predictions are higher than 0.9.
#### Author of the Matlab implementation of BAM-Q:
Author of the Matlab implementation of BAM-Q:
jan-hendrik.flessner@jade-hs.de
......@@ -49,20 +51,20 @@ jan-hendrik.flessner@jade-hs.de
### License and permissions
===============================================================================
Unless otherwise stated, the GPSMq distribution, including all files is licensed
Unless otherwise stated, the BAM-Q distribution, including all files is licensed
under Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
(CC BY-NC-ND 4.0).
In short, this means that you are free to use and share (copy, distribute and
transmit) the GPSMq distribution under the following conditions:
transmit) the BAM-Q distribution under the following conditions:
Attribution - You must attribute the GPSMq distribution by acknowledgement of
Attribution - You must attribute the BAM-Q distribution by acknowledgement of
the author if it appears or if was used in any form in your work.
The attribution must not in any way that suggests that the author
endorse you or your use of the work.
Noncommercial - You may not use GPSMq for commercial purposes.
Noncommercial - You may not use BAM-Q for commercial purposes.
No Derivative Works - You may not alter, transform, or build upon GPSMq.
No Derivative Works - You may not alter, transform, or build upon BAM-Q.
Exceptions are the following external Matlab functions (see their respective licence)
that were used within the BAM-Q:
......
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