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In most digital Audio applications we are working on, one spectacular
improvment is achieved by using the AudioNetworks revolutionary DASE
Technology.
The DASE Technology groups several proprietary algorithms based on revolutionary
ideas issued from fundamental physiscs.
We developed these algorithms in designing ultra-high performance Audio
products for ous sister companies like Goldmund
and Stellavox.
These algorithms are manipulating the digital Audio signal to maintain
a maximum "Recognition Factor" despite extreme compression
and other typical digital Audio signal degradation.
The result of DASE Technology application is a significant improvement
of the quality for the same bandwidth. (See the results of noise
measurements brought by DASE technology on a typical digital signal).
(See also our demonstration page).
The
Leonardo Project
Launched
by Goldmund in 1997, the idea
to fully compensate for time error introduced in recording / playback
electronics and acoustics has finally got its first full result in 2004
with the Goldmund Telos amplifier family, based on the first AudioNetworks
results.
Now the
main research domain of the R&D Team aims at applying mathematical
algorithms both in DSPs, embedded computer or new ASIC chips in order
to rebuild accurate time response destroyed by electronic circuits.
The benefit is a much more natural sound, better voice recognition for
telecommunications and less fatigue in difficult listening conditions.
The considerable
global sound improvement brought by the Leonardo technology will have
considerable impact in future designs of any Audio design. See the details
published in the Goldmund Website for the correction of a speaker
crossover.
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Domains we are currently
working on
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Leonardo complete correction processing in a playback Hifi
system and in a Recording Studio
Microphone Leonardo Enhancer for Voice Recognition and critical
recording technologies.
Loudspeaker Leonardo Enhancer for critical Audio computer
applications and Telecommunications.
Cellular
phone sound improvement to improve "Recognition Factor"
and increase emotional content.
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