Today as I was messing around with a spectrogram synthesiser I created, I tried to reproduce by hand the spectrogram of a bit of speech, as detailed at the bottom of this page http://arse.sourceforge.net/examples.shtml As I am very satisfied with how good it sounds given the minimal amount of effort I put in the creation of this sound, it occured to me that I could probably just learn how to
I am writing to ask about people's experience using novel features for automatic speech recognition and speaker identification, with different kinds of acoustic modeling. At http://www.icsi.berkeley.edu/~dpwe/respite/multistream/aurora1999.html, Dan Ellis shares results in which novel modulation spectrogram (MSG) feature extraction performs much better in a system using multi-layer perceptron
On Sep 19, 12:48 pm, Richard Owlett <rowl...@atlascomm.net> wrote: Rune Allnor wrote: On 19 Sep, 13:49, Richard Owlett <rowl...@atlascomm.net> wrote: I'm writing my own spectrogram program, primarily because I have trouble interpreting color as amplitude. I prefer real 3D. Rolling your own can be quite educational ;) I tried to verbally describe a portion of my plot
-Michel, unfortunately Bass sounds are the ones that I'm most interested in! I'm not very much interested in speech. If the algorithm does not reproduce the Bass sounds that I'm interested in such that they are audibly indistinguishable from the originals, then it is of limited use, I'm sure you understand what I'm talking about. With an audibly distinguishable reproduction, it's difficult or
On Sat, 19 Apr 2008 09:30:12 -1000, dsi1 <dsi1@spamworld.com> wrote: Mason C wrote: On Fri, 18 Apr 2008 13:02:28 -1000, dsi1 <dsi1@spamworld.com> wrote: snipped I'm surprised that you have not really tried making very many adjustments on the aids in the time you have had it. Is this an incorrect assumption? Not that there's anything wrong with not experimenting