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TRANSCRIPT
Acoustical Testing I Black Box
Submitted to:
Dr. Dominique Cheene & Dr. Lauren Ronsse Columbia College Chicago
October 8th, 2014
By: Andrew Hulva, Student Columbia College Chicago
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Table of Contents
Abstract ....................................................................................................................................... 3
Introduction .............................................................................................................................. 3
Methods ....................................................................................................................................... 4 Initial Observations ................................................................................................................ 4 1-‐B .......................................................................................................................................................... 4 2-‐A .......................................................................................................................................................... 5
Data Analysis ............................................................................................................................. 6 1-‐B .......................................................................................................................................................... 7 2-‐A .......................................................................................................................................................... 8 Tones Generated by the Black Box 1B ....................................................................................... 9 Dynamics ............................................................................................................................................. 9 1-‐B ..................................................................................................................................................... 9 2-‐A ................................................................................................................................................... 10
Conclusions ............................................................................................................................. 11 1-‐B ........................................................................................................................................................ 11 2-‐A ........................................................................................................................................................ 11
Comparison ............................................................................................................................. 12 1B ......................................................................................................................................................... 12 2A ......................................................................................................................................................... 13
Discussion ............................................................................................................................... 13
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Abstract A “black box,” namely a 4U rack-‐mountable gear hard case, was said to
contain audio effects gear of any sort. The purpose of this study was investigate and
determine signal flow as well as the components contained therein without any sort
of visual confirmation prior to completion. It was determined the box contained an
Apex Aural Exciter, parametric equalizer, graphic equalizer, and a combination
dynamics modifier.
Introduction The “Black Box,” a regularly used tool to help teach students about signal
flow and investigative techniques was the subject of this study. The goal was to
determine, without any visual confirmation, what the Black Box contained. A group
of four students in Acoustical Testing I (Andrew Hulva, Chris Kezon, Cody Elston,
and Luc Schutz), were those that conducted this study.
It was given that each of the two inputs had a unique output in order to
ensure signal would always flow from input to output, preventing damage to the
internal components. There were two inputs, labeled “1” and “2”, and two outputs,
labeled “A” and “B.” This can be seen in Figure 1. There were no other instructions
or limitations placed on the group, as any equipment and software, within reason,
would be provided by the engineering staff at Columbia College Chicago.
Figure 1: Black Box Faceplate
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Methods Due to the then current lack of efficient data acquisition software, the test
environment was initially configured as such: analog equipment at each end, using a
tone generator for stimuli and both an oscilloscope and powered speaker (QSC K8)
as receivers of Black Box output. Qualitative observations were made but not
recorded, as the usefulness and reproducibility was limited due to the uncertainty of
operation efficacy.
Introducing digital audio analysis software at each end allowed for the entire
spectrum to be analyzed and presented on screen, increasing initial understanding
by providing a holistic view of the Black Box’s effect. A desktop workstation running
the Windows XP operating system utilizing a Sound Devices USB Pre2 as its sound
device for both input and output replaced the tone generator, oscilloscope, and
powered speaker. To confirm the unique input/output signal paths, output L
(default for most software suites) of the Pre2 was sequentially connected to the
assumed inputs (female connecters) of the black box, and their alphabetically
equivalent assumed outputs (male connectors) were connected to the line-‐level
input of the Pre2. Attempting to pass a 1 kHz sine tone through each configuration
yielded the presumed composite noise floor of the devices. Switching to the other
possible combinations yielded spectrums dominated by the input signal, resulting in
the input/output combinations, “1 – B,” and “2 – A,” as seen in Figure 2.
Insert Signal Flow diagrams here Figure 2: Generic Signal Flow
Initial Observations
1-‐B Following no specific protocol, initial observations were recorded for the
input/output combination “1 – B” (1B) using SpectraPlus for signal generation and
analysis. With pink noise as stimulus, the initial observations were as such (taken
from laboratory notebook): equalization at 8 kHz. With no stimulus (digital zero),
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the response was indicative of 60 Hz analog hum. These initial observations can be
independently confirmed in Figure 3.
Figure 3: Pink Noise Response and Noise Floor of 1B
In order to add to the initial observations, a microphone was used as
stimulus for aural testing. The signal chain was: microphone, microphone
preamplifier, Black Box, and a powered speaker. The resultant output had
noticeable hiss and distortion from varying levels of input (speaking voice) and had
no audible output when not being spoken into, signifying a noise gate. No other
concrete observations were made due to the human ears resolution and no
unaffected signal to compare to.
2-‐A Using the human voice as stimulus again, no obvious defects in the signal
could be determined, so initial observations were recorded using pink noise and
digital zero as stimuli for the input/output combination, “2 – A” (2A). With pink
noise as stimulus, there are no obvious variations in response, resulting in the
assumption that the subtle variations are due to equalization. With no stimulus, the
same 60 Hz hum can be seen. These observations can be independently confirmed
in Figure 4. The signal flow for this input/output combination seemed to be less
involved than the 1B signal path.
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Figure 4: Pink Noise Response and Noise Floor of 2A
Data Analysis
Following the creation of an Excel macro, by Andrew Hulva, that automated
the data acquisition process utilizing the analyzer and automation library included
with SpectraPlus-‐SC, multiple measurements could be recorded in a short time span.
Averaging was set to infinite within SpectraPlus, to overcome any variations in the
time constant signals, and thirty-‐two (32) sub-‐tests were ran during each test that
gathered 1/3rd octave data. Each sub-‐test would run the analyzer and generator,
wait five (5) seconds, place the data in Excel, and reduce the level of the generator
three (3) dB for the next sub-‐test. Each test began with the generator at zero (0)
dBFS and end with it at -‐96 dBFS, excluding the tests designed to assess the
threshold of the compressor/expander, which began near the assumed threshold
and had one (1) dB increments. Stimuli for tests: pink noise, sine sweep (0 Hz – 24
kHz), 16 kHz tone, 8 kHz tone, 4 kHz tone, 2 kHz tone, 1 kHz tone, 500 Hz tone, 250
tone, 125 Hz tone, and an 80 Hz tone. All testing moving forward will be assumed to
have followed this procedure.
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1-‐B
The stepped noise test showed a type of compression that dynamically
affected frequencies below 500 Hz and an equalization point at 8 kHz. This can been
seen in Figure 5.
Figure 5: Stepped Noise Response of 1B
Tone tests show compression above a threshold for all frequencies and
downward expansion for all frequencies below a threshold. This can been seen in
Figure 6, and note that the frequency is irrelevant as all frequencies showed same
compression ratio. The compression above a threshold seen in tone tests is not
observed with pink noise as stimulus, most likely due to pink noise having a lower
overall level in SpectraPlus to account for natural variance that would have clipped
the input of the Pre2 had it not been lowered. Tone tests also showed, where noise
tests did not, additional tonal components higher in frequency than the input tone.
This will be analyzed separately.
Figure 6: Compression, Expansion, and Extra Tonal Components of 1B
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2-‐A Both noise and tone tests showed compression above a certain threshold,
and since the two stimuli have different overall levels, this is indicative of a higher
threshold than that of 1B. There also was no evidence of the expander seen in 1B, as
some unit decrease in output produces the same change in input.
Figure 7: Stepped Noise Response of 2A
Noise tests also show, as seen in Figure 8, multiple equalization points, as at
these points the variance is bell shaped. The shape, or Q, of the equalization is not
constant. Tone tests do not show additional generated tones, confirmed at all
frequencies tested. However, the noise floor of 2A does show the 60 Hz hum.
Figure 8: 2A Noise Response vs. Unity Gain
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Tones Generated by the Black Box 1B Close inspection of the tones generated in 1B revealed an interesting
mathematical relationship. The equal-‐temperament tuning system, used in Western
music, follows the following formula:
𝑓! = 𝑓 ∗ 2!/!" where, 𝑓 = 𝑓𝑢𝑛𝑑𝑎𝑚𝑒𝑛𝑡𝑎𝑙 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 (𝐻𝑧)
𝑓! = 𝑟𝑒𝑠𝑢𝑙𝑡𝑎𝑛𝑡 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 (𝐻𝑧) 𝑛 = 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑠𝑒𝑚𝑖𝑡𝑜𝑛𝑒𝑠
For any given tone f, the resultant tones satisfied this relationship when n =
1, 12 and 21. These musical intervals, relative to the fundamental, are the first
octave and a major 6th above that octave.
Comparison of the response of 1B to an Apex Aural Exciter solidifies the
hypothesis that it was causing the generated tones. As seen in Figure 9, the response
of both the Black Box and the Aphex have similar contours and feature both the 60
Hz hum and the generated tones. Shown is a 1 kHz tone, but these conclusions are
supported for all tones tested.
Figure 9: Black Box vs. Aphex Aural Exciter
Dynamics
1-‐B Graphing the input versus out gives a standard compression graph that many
will be familiar will. This is telling in that it will visually show the types of dynamics
modification equipment.
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Figure 10: Input vs. Output for 1B
One can see expansion affecting the lower levels and compression affecting
the higher levels. The expansion ratio, derived by a linear regression of the two
points denoted by the first two arrows on Figure 10, was 1:2.5. The compression
ratio, derived by a linear regression of the points denoted by the second two arrows,
was 2:1. Thresholds are not provided due to data being recorded relative to the 0
dBFS of the Pre2.
2-‐A
Figure 11: Input vs. Output for 2A
Following the same procedure as 1B, Figure 11 was generated. Again,
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performing a linear regression on the two points denoted by the arrows, a
compression ratio of 3.5:1 was found. It is important to note the absence of
expansion on this input/output combination.
Conclusions Taking all of the data into consideration, conclusions were made regarding
both the type of equipment inside the Black Box and the order in which signal
passed through these devices.
1-‐B It was known that a compressor, expander, and an Aural Exciter were
affecting the signal. Order was proposed as such: Compressor/Expander to an
Aphex Aural Exciter. This order was based upon the lack of compression on the
generated frequencies shown in Figure 6, and this order complies with traditional
signal flow for musical applications. The compressor was to have a compression
ratio of 2:1, and the expander a ratio of 1:2.5. This accounts for two (2) units of the
four (4) -‐rack spaces available in the Black Box.
2-‐A It was known that a compressor and an equalizer were affecting this signal
path. These two devices, however, did not explain the 60 Hz hum seen in the noise
floor. This was attributed to the Aphex Aural Exciter in 1B, so it was hypothesized
that the Aural Exciter was part of the signal chain. Passing the signal through the
device with “bypass” engaged, the self-‐noise would be added to the signal without
the additional harmonic content. Taking all of this into consideration, the order was
proposed to be: Compressor, to a 15-‐band equalizer, and to an Aphex Aural Exciter
in “bypass mode". The compressor was to have a ratio of 3.5:1, and the 15-‐band
equalizer was to have the parameters shown in figure 12, derived from the
difference from unity in Figure 8.
Frequency (Hz) 63 100 160 250 400 500 630 800 1K 2K 4K 8K 16K
Gain (dB) -‐4 0 +4 +1.5 -‐1 +1.5 +4 +1.5 -‐3 -‐3 +3 -‐8 -‐8
Figure 12: EQ parameters
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Since the compression ratio is different from that of 1B, it meant either the
compressor housed two channels, or there were two different units in the Black Box.
The equalizer adds another rack-‐space, totaling three (3), within the four (4)-‐rack
spaces allotted.
Comparison The Black box contained a 5-‐band parametric equalizer, 31-‐band graphic
equalizer, Aphex Aural Exciter, and a Compressor/Expander. For input/output 1B,
signal flowed as such: 5-‐band parametric equalizer, to an Aphex Aural Exciter, and
to a Compressor/Expander. For 2A, signal flowed: Compressor/Expander to the 31-‐
band graphic equalizer. The actual devices can be seen in Figure 13.
Figure 13: Black Box with Faceplates removed
1B The group had not recognized the 5-‐band parametric equalizer in the signal
chain, and this could have been due to its masking by the Aphex Aural Exciter. The
Exciter dynamically adapts to different signals, making the recognition of a device
such as an equalizer exceptionally difficult. Also, the predicted order was wrong,
with the Exciter coming before the compressor. The logic behind the prediction
could have benefited from additional testing to confirm, but, again, the adaptability
of the Exciter made the prediction of order challenging.
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2A The Aphex Aural Exciter was proposed to be in the signal chain, and it was
not. This conclusion was supported by the similarity of noise floors of 2A. The
possibility that the signal path was affected from Exciter exists, as crosstalk is
something not understood by the group, and there was no other explanation for the
similarity. The type of equalizer said to be in the Black Box was also incorrect, but
the recognition of an equalizer is what was most important to the group.
Discussion The scope of this project was to identify the components contained inside the
Black Box, and that was most certainly accomplished. With the creation of the Excel
macro, large amounts of data was able to be collected that not only expedited the
entire process, but enabled the group to confirm all predictions from multiple
angles. This confidence allowed the group to take risks such as naming the Aphex
Aural Exciter. This project taught the group how best to acquire, analyze, and
synthesize conclusions from data, and for that they are most appreciative.