SmartSpeaker Audiostat

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
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The Practical

Where can you
use Audiostat?

What makes
Audiostat unique?

How does
Audiostat work?


What makes
so good?