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TRANSCRIPT
Material Study
By: IRINEO JAIMES
TEAM
Nick Christian
Frank Schabold
Erich Pfister
Acoustical Testing 1 Dr. Lauren Ronsse, Dr. Dominique Chéenne
10/31/2014
Table of Contents
Abstract……………………………………….……………………………3
Introduction……………………………………..………………………..3
Measurement set up and Equipment……….…………..…...4
Test Method…………………………..…………….….…………………5
Results……………………………..………..…………………………….11
Conclusion…………………………………………………………………12
Abstract
The purpose for this experiment was to find the signal chain flow of the black box with
only two inputs and two outputs. Inside the black box there could be various possibilities for
how the signal chain flow was set up, using available equipment the team will have to figure
out the components that make up the signal chain flow.
Introduction
Presented to the team was a black box with two inputs, input 1 and input 2, and two outputs,
output A and output B.
Figure 1: the black box
The black box was set up by the previous student team, having succeeded in finding the signal
chain flow. Using Arta, analog signal tone generator, voltage meter, and auditory hearing the
team had to investigate what parameters could create the data the team was gathering. Based
on results the team had to conclude what processors made up the signal chain flow, with a
deadline of 3 weeks.
Measurement set up and Equipment
Testing equipment involved
- Voltage Meter - Signal Tone Generator - US-Pre amp - A loudspeaker, for playback purposes - ARTA
Figure 2: us-pre amp Figure 3: voltage meter (left), Signal Tone Generator (right)
Testing Method
A simple signal chain flow diagraph was created to get a visual interior representation of
the black box.
Figure 4: signal chain flow diagram of unknown processors
First test method involved playing “Short Skirt, Long Jacket” by Cake. The team concluded the
most effective way to understand what processing was happening through the signal chain flow
was to play a song through the black box vs through a loudspeaker, and using auditory cues
compare signals. First signal chain tested was input 1 with output A going to the loudspeaker.
Instantly the team noticed two audible signal, one from the loudspeaker and a faint signal
coming from inside the black box. Shutting of the Loudspeaker and increasing the gain on the
pre-amp it was clear input 1 had to be a speaker. To further conform input 1 was a loudspeaker
a sine sweep was played through input 1. The sine sweep test proved two pieces of
information, one being a loudspeaker was present and two being based on the strong presents
of the low end of the sine sweep an amplifier had to be present. Disconnecting the power
supply proved the existence of an amplifier.
For experimentation purposes, with the supply power still disconnected, the testing
loudspeaker was turned on. Interestingly the exterior noise of the black box seemed to be
amplified through the loudspeaker. To the teams knowledge only a few pieces of equipment
could produce a signal with their own power supply. In order to prove a dynamic microphone
was present a simple tap and a vocal recording test were created. The tap test involved tapping
the top of the black box and capturing the response of the tap using Arta. For the vocal
recording test a team member spoke in close proximity to the black box, then playback of the
recorded signal through the loudspeaker was done. Using these two methods, the team
concluded output A was a dynamic microphone.
Next the signal chain of input 2 output B were tested using the loudspeaker. Only
notable change to the way “Shirt Skirt, Long Jacket” sounded was a decrease in audio volume
and an increase of a hissing sound. Very similar to the way a recording with a low signal to
noise ratio sounds. With various possibilities to contribute to a hissing sound being audible.
The signal was instead connected into the pre-amp, feeding back into the computer, to have a
visual representation of the frequency spectrum. Figure 5 shows the frequency content of the
black box in input 2, output B.
Figure 5: spectrum analyzer, using ARTA, of black box
It was difficult to determine if the noise was being generated from input 2 or output B, since
input 1 would have yielded a signal coming from the black box and would not have interacted
with output B, and output A, being a dynamic microphone would only output exterior noise.
Only option was to disconnect input 2 and compare before and after results, and upon doing so
nothing changed. With these results, the team established output B as the generator of the
hissing sound. A sine sweep was done 10 times and the average is illustrated below.
Figure 6: Sine Sweep test sending signal through black
box, sine sweep provided by using ARTA.
The results seem to be suggesting the use of an equalizer processor. Zooming into the peaks in
the high frequency domain, the center frequency of both peaks seem to be around 8,500 Hz
and 20,000 Hz, commonly altered frequencies in an equalizer.
Figure 7: Zoom of higher frequency content, Frequency peaks at 8,500 and 19,500
The team decided on a parametric equalizer. To eliminate false evidence of an equalizer the
power source of the black box was disconnected once again, and the peaks disappeared
meaning it was also an active parametric equalizer.
Input 2 still unknown proved to be the most difficult to resolve. An assumption was
made of a possible compressor/gate being present in input. This assumption arose from the
initial volume decrease noticed when the team first tested the signal chain. Running a drum
loop through the black box yielded Figure 8 below.
Figure 8: Top: drum loop sample, Bottom: drum loop run through black box
There was what looks to be compression on being of the tail of the drum loop. However, this is
not enough to information to determine input 2 as a compressor. To test a compressor/gate, a
signal generated tone was split and sent into the black box and the other split signal was
unaltered, both split signals then were connected to independent channels on the voltage
meter. The results would be a output vs input graph, represented by Figure 9.
Figure 9: Compression measured at 1 kHz, input vs output
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Input Voltage (mV)
Compression measured at 1kHz
What was derived was a graph very similar to what a compressor with a compression ratio
would yield. The team came to an agreement input 2 was a compressor/limiter.
Results
The final day of testing the team outlined a singal chain flow diagram to present to AT1
instructor. The teams final conclusion was input 1 was a speaker with no connected output, its
acoustical output would be picked up by the microphone in output A. Input 2 is a
compressor/limiter with an output into a active parametric equalizer. When the black box was
opened it was close with the exception of missing two components of the black box, an
additional equalizer and a pad. Additional equalizer before the speaker, and the pad before the
compressor in signal flow. Coming fairly close the project was determined a succes and the
AT1 instructors assigned our team to assemble a new black box for the preceding student
group.
Figure 10: Front of black box Figure 11: Back of black box
Conclusion
Developing test to looking into specific features of the black box enabled the team to
figure out what processors were inside. Arta, a signal generator, voltage meter were great
tools to investigate the black box assigned to the team. The final signal chain flow of the team
vs the real signal chain flow of the black box were very similar, with the exception of an
equalizer before the speaker and a pad before the compressor in signal flow. The pad was the
contribution to the unusually high compression ratio. Predicting a compressor/limiter was still
an acceptable prediction since compression was in fact occurring. The equalizer that came
before the speaker in the signal chain proved difficult to test, and a point could be made that it
could be nearly impossible without having a straight output form the speaker inside the black
box. Overall the processors in the black box were close to the team’s predicted results.