Hi Roman Thanks, I will try with [readsf~]
best berio Roman Haefeli escribió: > hi berio > > assuming you are talking about audio tracks, it depends on what you are > planning to do. > > if you want to play several tracks synchronously, i'd create one big > multitrack wavefile, that is played by one [readsf~ > <numbner_of_tracks>]. this has two advantages: > - it doesn't require that much patching > - it won't access your harddisk randomly in order to read several files > synchronously, but it will read all tracks in go (this might increase > your maximum bandwidth) > > if all tracks are quite short, you might want to load them into tables > first. reading from tables has the advantage, that you are reading from > RAM, which is very fast (as long as it is really read from RAM and not > from swapfs). beware that you might need more ram than the sum of the > filesizes of your wavefiles (in pd everything is stored as 32bit-floats, > no matter what the source format of your file is). > > if you want to play huge files (>2min) asynchronously, then you might > have to use a [readsf~] for each track. i never tested it myself, but i > am not quite sure, if it is possible to play 50 streams from the disk at > the same time without clicks, but check it out. it might work. > > cheers > roman > > > On Sat, 2007-09-01 at 12:39 -0400, berio wrote: > >> Hello everybody! >> >> I am working on a project where I have to use a lot of tracks at the >> same time. I use around 50 tracks, and I would like to know if there are >> some simple patch (like a multiple tracks or something similar) to take >> a look. >> >> Thanks a lot! >> >> berio >> >> >> >> _______________________________________________ >> [email protected] mailing list >> UNSUBSCRIBE and account-management -> >> http://lists.puredata.info/listinfo/pd-list >> > > > > > ___________________________________________________________ > Der frühe Vogel fängt den Wurm. Hier gelangen Sie zum neuen Yahoo! Mail: > http://mail.yahoo.de > _______________________________________________ [email protected] mailing list UNSUBSCRIBE and account-management -> http://lists.puredata.info/listinfo/pd-list
