Dear Marco
thanks for your feedback. The dimensionality reduction algorithms are not externals...simply abstraction, so, I guess you will not find any trouble running it on Linux. If you run it on pd-extended, I'm pretty sure you will not need other any external libraries, with the exception of gridflow for the computation of eigenvectors in PCA.
Look into earGramv0.18>dependencies>abs you will find all abstractions here, or just open the file _absOverview.
There's a couple of solutions for dimensionality reduction more or less complex such as: self-organised maps (SOM) PCA haar dct random projection star centroid and star coordinates (the only applied in earGram, actually)
best, Gilberto
2013/11/6 Marco Donnarumma lists@marcodonnarumma.com
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 > >
Thanks Gilberto!
sounds great. Will take a look,... here at Goldsmiths we are developing time-series analysis and statistical methods for Pd (and other software), that's the reason of my interest.
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 Wed, Nov 6, 2013 at 12:36 PM, Gilberto Bernardes <bernardes7@gmail.com>wrote:
> Dear Marco
>
> thanks for your feedback. The dimensionality reduction algorithms are not
> externals...simply abstraction, so, I guess you will not find any trouble
> running it on Linux. If you run it on pd-extended, I'm pretty sure you will
> not need other any external libraries, with the exception of gridflow for
> the computation of eigenvectors in PCA.
>
> Look into earGramv0.18>dependencies>abs you will find all abstractions
> here, or just open the file _absOverview.
>
> There's a couple of solutions for dimensionality reduction more or less
> complex such as:
> self-organised maps (SOM)
> PCA
> haar
> dct
> random projection
> star centroid
> and star coordinates (the only applied in earGram, actually)
>
> best,
> Gilberto
>
>
> 2013/11/6 Marco Donnarumma <lists@marcodonnarumma.com>
>
>> 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
>>>
>>>
>>
>
-
Gilberto Bernardes -
Marco Donnarumma