Digital Signal Processing Reference
In-Depth Information
a n al og - i n pu t
trigger
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data wi ndow
ti me domai n
FFT
freq.-domai n
freq. parame
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net data
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coded switch
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an alog -inp ut
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da ta- win do w
time do main
wr ite data
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ne t data
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co de d sw itc h
analog-i n
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data window
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FFT
freq.paramet
netprognosis
formula
Aktion
mess age
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analog-i n
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data window
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message
1
Direct diagram for network generatio . Signals are recorded via microphone and
transformed. Then the frequengcy parameters are detected and the*.nnd file created.
Finally the *.nn file is created by means of network training. Disadvantage: lengthy
detection of optimal parameters. Constant use of microphone.
2
Diagram for generation of spectra multi files. Each of the 5 words is spoken 10 times. The
altogether 50 spectra are filed in a total file or multi file as basic material for all further
tests (reference file). All further tests from now on without microphone.
3
With the help of the reference file, an optimal *.nnd file can be detected in tests by smart
selection of the parameters. From this, the *.nn file can be created.
4
Prognosis switch: via microphone, the tolerance of the neuronal network can be tested.
As the simplified speech recognition process is extremely dependent on the speaker
, the
quality of the network can be controlled most easily by a reference file of the speake.
5
llustration 293: The block diagrams of the speech recognition project in use
In the electronic document, the 5 switches can be activated by clicking the colored buttons..
Unfortunately, it is not (yet) possible to directly process complete “bed- of- nails”
patterns in the form of two- dimensional arrays with the DASYLab. Thus, we have to use
“acoustic patterns” as in chapter 4, lasting exactly 1s long each. Also picked up again is
the example from chapter 4 in form of the acoustic steering of a forklift with the help of
the words “up”, “down”, “stop” , “left” and “right”.
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