Embedded applications.
Audiostat™ lends itself extremely well to both non-embedded / stand-alone applications as well as embedded applications.
The core of Audiostat is a chip, which can be built-in to numerous electronic audio components to enhance their performance. For example: amplifiers, radios, (car and household), telephones, industrial / battlefield headsets and microphones, hearing-aids, loudspeakers and satellite receiving equipment. Practically every single audio / communication system that you can think of, can be enhanced with
Audiostat.
When only the chip and related circuitry is supplied for installation by the customer and where substantial order quantities are anticipated, the price will be a fraction of the already low price for a non-embedded, stand-alone unit.
What
makes Audiostat so good?
The engineers at
SmartSpeaker Corp. have developed a psychoacoustic model of the human
ear / brain system which is able to distinguish between the audio
signal and the background or ambient noise - in real time. Audiostat
hears what you hear - the frequency spectrum and amplitude of the
audio signal, in the context of the frequency spectrum and amplitude
of the ambient noise. These variables change continuously which
causes the signal to noise ratio to change continuously and signal
intelligibility to be in a constant state of flux.
To optimise intelligibility we simply turn the signal volume up or
down from time to time - manually. Audiostat on the other hand,
ensures that the signal to noise ratio is optimised for maximum
intelligibility all the time, continuously, seamlessly and
automatically.
SmartSpeaker Intelligibilty
Test Results
Quantitative intelligibility testing of SmartSpeaker was carried
out independently by Mr. Claude Fortier at State of the Art
Electroniks, Ottawa. The tests include measurement of Speech
Transmission Index (STI) and Percent Articulation Loss of Constants
(%ALcons) with and without SmartSpeaker in noisy and quiet
environments. A stereophonic recording of real ambient noise was used
to create the noise for the field test. The Larson-Davis MLSSA system
was used to measure intelligibility.
Signal Source:
One 4-inch, 2 Watt loudspeaker producing 65dBA signal SPL at the
MLSSA system's test microphone with SmartSpeaker defeated. Test
microphone was placed 0.5m from loudspeaker (on axis). Test
Signal: Weighted (spectrally shaped) pseudorandom noise
generated by the MLSSA system. Ambient Noise: A 15 second
segment of a stereophonic recording of subway noise played-back
in far-field with stereo reproduction equipment. Noise composed
primarily of human speech (multi-talker babble) with some
low-level rumble and hiss from the rolling stock. The background
ambient noise level of the test environment was 42dBA, primarily
wide-band air-conditioning noise. SmartSpeaker: Ambient
noise pickup microphone was placed 0.2m from the loudspeaker and
0.54m from the test microphone (180o
off axis).
General: Power
amplifier gain was adjusted for high signal-noise ratio and intelligibility
at the test microphone in the absence of ambient noise.
Test |
Ambient
SmartSpeaker |
Noise |
%
Alcons |
STI
(standard) |
STI
(modified) |
%
Word Intelligibility |
Rating |
1 |
OFF |
42dBA |
3.1 |
0.741 |
0.929 |
95.6 |
Good |
1 |
ON |
42dBA |
2.5 |
0.777 |
0.949 |
97.3 |
Excellent |
2 |
OFF |
60-64dBA |
8.9 |
0.546 |
0.662 |
85.8 |
Fair |
1 |
ON |
60-64dBA |
2.1 |
0.813 |
0.937 |
99.5 |
Excellent |
3 |
OFF |
68-72dBA |
27.5 |
0.337 |
0.393 |
44.6 |
Poor |
1 |
ON |
68-72dBA |
4.2 |
0.684 |
0.774 |
93.5 |
Good |
Next Steps
For more information click
here
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