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<font color="#0000FF">Dear Steve:<br><br>
Thanks a lot for your e-mail, I got database 250 and seems very
helpful. I will let you know.<br><br>
The interesting point in my technique is that:<br><br>
1) the statistical test is theoretically characterized: I
derived the null na non-null hypothesis (I wonder whether this sounds to
you).<br>
2) I have the exact theoretical threshold, this is fixed
theoretically not experimentally<br>
3) I also have what we call the power of the test.<br><br>
These 3 points make it unique, that is what I think. It works very
well in noisy environment (very noisy).<br><br>
I think you maybe of help to judge my results, can you?<br><br>
best,<br><br>
Zelda<br><br>
<br><br>
</font>At 00:44 20/02/2008, you wrote:<br>
<blockquote type=cite class=cite cite="">KMTDBOURSE wrote:<br>
><br>
> Know that<br>
><br>
><br>
> (OSLEC)<br>
><br>
> pretty well. Wanna test new algorithms but need wav data. Echo
Cancel <br>
> is also still under research process, VAD is part of a good echo
<br>
> canceller as it freezes the algo processing in case of double-talk.
<br>
> Generally a modified Geigel algo or energy based algo are used.<br>
VAD and double talk are totally different problems.<br>
><br>
> I have new
algorithms and want to test them. Unfortunately, I <br>
> don't have enough data, there are out there very expensive databases
<br>
> such as (AURORA...) but don't think they are really suitable for my
tests.<br>
If you are serious about VAD testing, the TIA has a downloadable <br>
database of hand tagged audio. If you are serious about echo <br>
cancellation, you will start by getting your canceller through the G.168
<br>
tests, and then look at the real world test cases that fail. No <br>
expensive databases are needed in either case. I can't imagine a <br>
standard database even being very useful for line echo cancelller
<br>
development. You will probably want to work out the difference between
<br>
VAD and double talk first, though.<br><br>
Steve<br><br>
<br>
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