sorry:<br><br>In [1]: import pywt as W<br><br>In [2]: W.__version__<br>Out[2]: '0.1.7'<br><br>(svn version afaiRemember)<br><br><div class="gmail_quote">2009/3/31 Renato Fabbri <span dir="ltr"><<a href="mailto:renato.fabbri@gmail.com">renato.fabbri@gmail.com</a>></span><br>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">Shane: that script was done using pywt version 0.1.6 (alpha) i think that its current. what version did you find?<br>
Dan: wavelets are used to represent/compress or synth signals with transients. kind of opposed to FFT to stationary signals... i dindt use LPC but i plan on studying it, do you know any good material?<br>
<br><div class="gmail_quote">2009/3/31 Dan S <span dir="ltr"><<a href="mailto:danstowell%2Blxau@gmail.com" target="_blank">danstowell+lxau@gmail.com</a>></span><div><div></div><div class="h5"><br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
2009/3/30, shane richards <<a href="mailto:shanerich@email.com" target="_blank">shanerich@email.com</a>>:<br>
<div>> I've been trying to do some sound morphs between two different hits of a snare drum, one rimshot and the other a plain hit.<br>
> I tried using SMSTools, and even some windows programs under wine, but the results always seem to sound more like hitting a bucket full of water than a combination of the two drums.<br>
<br>
</div>Drum sounds are very "difficult" for these tools because the FFT-based<br>
analysis assumes a quasi-stationary signal (imagine a sine wave that<br>
never changes, that's the easiest) whereas drum hits really strongly<br>
violate this. Also phase issues and other stuff. To be honest you'll<br>
probably do best using some kind of clever perceptually-tweaked<br>
crossfade-based technique... or maybe find something using LPC-based<br>
analysis rather than FFT, that might do well (I haven't looked) - LPC<br>
should have a better chance at handling drum sounds gracefully.<br>
<br>
Dan<br>
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