Hello dear dsp-freaks! Since a few years I'm very interested in all forms of traditional/classic sound transcription. I often find interesting tools, but currently I am interested to re-code them (with Pure Data and Processing mostly, or Python), or hack them for future artistic use.
So not to reinvent the wheel, I want first to make a quick "state-of-the-art" about classical techniques of "making sound visual", and learn of to implement them. As examples of the topics i'm interested in : - Spectral representation with Fast Fourier Transform (linear/logarithmic frequency display & interpolation, time downsampling, colorscaling, visual filtering / thresholding) - Spectral representation by bands with Q-constant filters bank - Waveform draw/plotting (especially issue of linear/logarithmic amplitude, upsampling and interpolation, and time/downsampling techniques (decimation, peak, rms) - Dynamics representation : RMS/peak histograms... variance or... - and also further analysis tools : musical scaling/filtering, note detection, correlation of different sounds - partials representation (sinus tracking) Of course I have tested a few tools, like Spear, Adobe Audition... and a few other command line tools I don't remember the names (but most of them were buggy or Windows-based :§ ) So I wonder if you have other suggestions of software (preferably open-source, hackable or freeware), pseudo-code or academic articles on techniques (I have already partially read : Curtis Roads's L'Audionumérique - Musique et Informatique, Miller Puckette's Theory and techniques of electronic music book, Andy Farnell's Designing Sound and a bit of The Scientist and Engineer's DSP Guide by Steven W. Smith) - I read French and English. I know this is a very large question ! Anyway I'll welcome any small suggestion from people more advised than Google Search ! thanks by advance, Raphaël Ilias ___________________________________ * phae.fr <http://phae.fr>* 17 places des Halles - Ingrandes 49123 Ingrandes Le Fresne s/ Loire [email protected] / +33 (0) 6 04 45 79 78 ___________
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