Re: [PD] [PD-announce] earGram: concatenate sound synthesis/generative music

2013-11-06 Thread Marco Donnarumma
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 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 
>
>> 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 > > 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-annou...@iem.at
>>> http://lists.puredata.info/listinfo/pd-announce
>>>
>>>
>>
>
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Re: [PD] [PD-announce] earGram: concatenate sound synthesis/generative music

2013-11-06 Thread Gilberto Bernardes
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 

> 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 
> 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-annou...@iem.at
>> http://lists.puredata.info/listinfo/pd-announce
>>
>>
>
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Re: [PD] [PD-announce] earGram: concatenate sound synthesis/generative music

2013-11-06 Thread Jamie Bullock

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  
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

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Re: [PD] [PD-announce] earGram: concatenate sound synthesis/generative music

2013-11-06 Thread Marco Donnarumma
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 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-annou...@iem.at
> http://lists.puredata.info/listinfo/pd-announce
>
>
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Re: [PD] [PD-announce] earGram: concatenate sound synthesis/generative music

2013-10-28 Thread puredata

Hi,

First of all the interface is really well done, it's not easy to build  
something like this in pd. I am trying to run it on linux / 64bit. I  
don't have bark and bark~ with the linux version of  
http://puredata.info/downloads/timbreid? Trying to use barkSpec I get:


Bark spacing must be between 0.02 and 10.0 Barks.
barkSpec: no method for 'thresh'
barkSpec: no method for 'mask'
barkSpec: no method for 'debounce'
barkSpec: no method for 'filter_range'
barkSpec: no method for 'minvel'
barkSpec: no method for 'loudness'

and

barkSpec~: no method for 'thresh'
barkSpec~: no method for 'mask'
barkSpec~: no method for 'debounce'
barkSpec~: no method for 'filter_range'

I have a bunch of warnings, i guess it is normal:
coll: finished reading 12 lines from text file 'data/psi-functions.txt'
warning (coll): no coll file  
'/home/psc/Downloads/earGramv0.18/earGramv0.18/dependencies/abs/psi-functions'

nearestPoint: dimensionality: 2.
initCentroids 9 0 10 1 (+->canvas) connection failed
dumpCentroids 0 0 3 1 (+->canvas) connection failed
dumpOutput 4 0 3 1 (receive->canvas) connection failed
distBetweenPts 12 0 6 1 (receive->canvas) connection failed
distBetweenPts 12 0 5 1 (receive->canvas) connection failed
dbscan.pd 20 0 18 1 (receive->canvas) connection failed
warning (coll): no coll file  
'/home/psc/Downloads/earGramv0.18/earGramv0.18/1002-liveInPresets'


Also it would be nice if you could record your screen, making a  
project from scratch (a demo).

Cheers

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[PD] [PD-announce] earGram: concatenate sound synthesis/generative music

2013-10-28 Thread Gilberto Bernardes
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
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