Hi Gilberto,
thanks for sharing your work!
I'm interested in looking at your dimensionality reduction objects, but I'm a Linux user. Any plan to port your work to Linux?
thanks! best wishes, M
-- Marco Donnarumma New Media + Sonic Arts Practitioner, Performer, Teacher, Director. Embodied Audio-Visual Interaction Research Team. Department of Computing, Goldsmiths University of London
Portfolio: http://marcodonnarumma.com
Research: http://res.marcodonnarumma.com
Director: http://www.liveperformersmeeting.net
On Sat, Oct 26, 2013 at 1:56 PM, Gilberto Bernardes <bernardes7@gmail.com>wrote:
> Hi,
>
> I’m working on a project for my PhD that recombines audio segments according to pre-defined generative methods. For those familiarised with concatenative sound synthesis, earGram reformulates the notion of unit selection algorithms to encompass generative music strategies. It relies heavily on timbreID a known library for PD by William Brent.
>
>
> So, here's the website that hosts the project:
>
> https://sites.google.com/site/eargram/
>
> You can find project examples in the download section as well. P
>
>
> In addition there are plenty of abstractions that may interest you, in particular clustering and dimensionality reduction algorithms...
>
> As you can guess, I would like to get feedbacks and advises.
>
>
> Best,
>
> Gilberto Bernardes
>
>
> _______________________________________________
> Pd-announce mailing list
> Pd-announce@iem.at
> http://lists.puredata.info/listinfo/pd-announce
>
>
Hi Gilberto,
For me this is a really exciting and interesting project. Congratulations on the great work, I look forward to reading through your publications.
best,
Jamie
On Sat, Oct 26, 2013 at 1:56 PM, Gilberto Bernardes bernardes7@gmail.com wrote: Hi,
I’m working on a project for my PhD that recombines audio segments according to pre-defined generative methods. For those familiarised with concatenative sound synthesis, earGram reformulates the notion of unit selection algorithms to encompass generative music strategies. It relies heavily on timbreID a known library for PD by William Brent.
So, here's the website that hosts the project:
https://sites.google.com/site/eargram/ You can find project examples in the download section as well. P
In addition there are plenty of abstractions that may interest you, in particular clustering and dimensionality reduction algorithms... As you can guess, I would like to get feedbacks and advises.
Best,
Gilberto Bernardes
Pd-announce mailing list Pd-announce@iem.at http://lists.puredata.info/listinfo/pd-announce
Pd-list@iem.at mailing list UNSUBSCRIBE and account-management -> http://lists.puredata.info/listinfo/pd-list