The problem I have with MUSHRA is that quality is not a 1-dimensional
quantity, and quality is not necessarily transitive, either.
On Wed, Dec 17, 2014 at 12:13 AM, Christian Uhle
<christian.uhle@xxxxxxxxxxxxxxxxx
<mailto:christian.uhle@xxxxxxxxxxxxxxxxx>> wrote:
Dear Mark,
I'm not aware of a standardized method for subjective testing
(i.e. listening tests) for source separation.
I recommend a testing similar to MUSHRA, i.e. a multiple stimuli
test with hidden reference and anchor.
For the reference (and hidden reference) the best option IMO is to
start with signals where the desired signal and the interfering
signals are separately available. The reference signal is then
either the desried signal or as a mixture of the desired and
interfering signal where the interferer is attenuated (in case
your separation does not aim at complete separation but at an
enhancement of the desired signal w.r.t the interferer).
For the anchor: the standard 3.5 kHz low-pass filtered signal is
one option. Of course, the other conditions (aka processed
signals) should not sound much worse than the anchor. So, the
processing for deriving the anchor signals depends a bit on the
conditions under test. Starting with an oracle mask, introducing
degradations to it and computing an output signal is one option
when testing BSS methods that are based on spectral weighting.
Also, having more interefer in the anchor thn in the conditions
under test might be good.
The main problem IMO is this:
when using a MUSHRA test for accessing the quality of let's say an
audio codec, we often ask for transparency. This is a
one-dimensional quantity.
Evaluation of BSS is about a multi-dimensional quantity: 1)
reducing the interference and 2) sound quality are the most
important dimensions here.
You can either ask the test listeners for a combined rating (in a
preference test) or you ask for ratings regarding each of the
characteristics separately.
This depends a bit on the aim of the test (e.g. an aim could be
comparing different methods in order to decide which one to buy,
or testing during development for the purpose of tuning).
Good luck,
Christian
Mark Cartwright schrieb:
Hello,
I'm looking for the list's opinions on perceptual audio
evaluation listening tests for signals that have large
impairments. In particular, I'm primarily interested in the
evaluation of the output of source separation algorithms. What
standardized tests do people recommend (e.g. ITU-R BS.1534-2 /
MUSRHA, ITU-T P.800, etc.) and what are their pros and cons?
Also, are there other tests that are preferred over these but
have not yet been standardized?
Thanks!
Mark
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Mark Cartwright <mcartwright@xxxxxxxxxxxxxxxxxx
<mailto:mcartwright@xxxxxxxxxxxxxxxxxx>
<mailto:mcartwright@xxxxxxxxxxxxxxxxxx
<mailto:mcartwright@xxxxxxxxxxxxxxxxxx>>>
PhD Candidate in Computer Science
Interactive Audio Lab <http://music.cs.northwestern.edu/>,
Northwestern University
www.markcartwright.com <http://www.markcartwright.com>
<http://www.markcartwright.com/>
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