From Wikipedia, the free encyclopedia
Audio quality measurement seeks to quantify the
various forms of corruption present in an audio system or
device. The results of such measurement are used to maintain
standards in broadcasting, to compile specifications, and to
compare pieces of equipment.
|
Contents
-
1
The need for measurement
-
2
Automated sequence testing
-
3
Multitone testing
-
4
Measurements needed
-
5
See also
|
The need for measurement
Measurement allows limits to be set and maintained for
equipment and signal paths, and different pieces of equipment to
be compared. While the issue of measurement is controversial, to
the extent that Hi-Fi magazines these days tend to shun
measurement in favour of listening tests, it is important to
realise that audio quality measurement has in the past got a bad
name by failing to produce results that correlated well with
listening tests. This was because certain basic measurements
were used, such as
THD
measurement, and
A-weighted noise measurement, without any proper
consideration of whether these related to subjective effects.
The proper approach to measurement, which is largely adopted by
broadcasters and other audio professionals, is to first devise
measurements that can quantify the various forms of corruption
in terms of subjective annoyance to a human listener, ideally
the most critical listener based on tests using many suitably
rested subjects. Once this is done, measurement has the
advantage of not being dependent on a particular listener, or
his state of hearing on a given day. It also has the advantage
of being able to quantify corruption levels that would not be
audible to even the most sensitive ear, which is important
because a typical audio path from source to listener can involve
many items of equipment, and just listening to each is not a
guarantee that they will still sound acceptable when cascaded so
that all their deficiencies add up.
Automated sequence testing
Sequence testing uses a specific sequence of test signals,
for frequency response, noise, distortion etc, generated and
measured automatically to carry out a complete quality check on
a piece of equipment or signal path. A single 32-second sequence
was standardised by the
EBU
in 1985, incorporating 13 tones (40 Hz15 kHz at −12 dB) for
frequency response measurement, two tones for distortion (1024
Hz/60 Hz at +9 dB) plus crosstalk and compander tests. This
sequence, which began with a 110-baud FSK
signal for synchronising purposes, also became
CCITT
standard 0.33 in 1985.
Lindos Electronics expanded the concept, retaining the FSK
concept, and inventing segmented sequence testing, which
separated each test into a 'segment' starting with an
identifying character transmitted as 110-baud
FSK
so that these could be regarded as 'building blocks' for a
complete test suited to a particular situation. Regardless of
the mix chosen, the FSK provides both identification and
synchronisation for each segment, so that sequence tests sent
over networks and even satellite links are automatically
responded to by measuring equipment. Thus TUND represents a
sequence made up of four segments which test the
alignment level,
frequency response,
noise and
distortion in less than a minute, with many other tests,
such as
Wow and flutter,
Headroom, and
Crosstalk also available in segments.
The Lindos sequence test system is now a 'de-facto' standard
in broadcasting and many other areas of audio testing, with over
25 different segments recognised by Lindos test sets, and the
EBU standard is no longer used.
Multitone testing
Another approach to automated testing uses a special
multitone signal to assess all parameters simultaneously, by
analysing the spectrum of the output from the
device under test. It relies on the fact that with
appropriate choice of frequencies, distortion components and
noise can be made to appear between the tones, and measured
using digital comb filtering. Even noise and wow and flutter can
be extracted from the spectrum in principle.
In practice, though the use of a single brief test is
attractive, and might even be used between programmes, this
method presents several problems. Digital distortions produce a
fine spectrum which can swamp the measurement of true noise in
the absence of signal. The composite signal also has a high peak
to mean ratio, with peak levels occurring whenever all the tones
hit maximum simultaneously. Although the
Probability density function can be controlled to some
extent, it is not possible to separate out distortion at high
level, from low level distortion. Quite high amounts of the
former can be considered acceptable, but low level distortion is
more critical.
Fast sequence tests are possible, and there have been
attempts to make these appear like
jingles for incorporation into broadcast programmes!
Measurements needed
-
Frequency response
-
Audio noise measurement
-
Headroom
-
Distortion measurement
-
Crosstalk measurement
-
Flutter measurement
-
Rumble measurement
-
Jitter (on digital systems)
-
Impulse response (speakers) (Waterfall plots, MLSSA)
(colouration)
-
Latency (satellite links and codecs) (sound for live
video)
See also
-
Audio noise measurement
-
Distortion measurement
-
ITU-R 468 noise weighting
-
Flutter measurement
-
Rumble measurement
-
Loudspeaker measurement
-
Alignment level
-
Programme levels
-
Headroom
-
Weighting filter
-
Equal-loudness contour
-
Fletcher-Munson curves
-
Sound level meter
-
Noise
-
Lindos Electronics
Categories:
Articles to be merged since March 2007 |
Audio engineering |
Broadcast engineering |
Sound technology |
Sound production technology |
Sound recording |
Sound |
Acoustics