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FTM, Concatenative synthesis

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FTM, Concatenative synthesis

Oeyvind Brandtsegg-2
I've been thinking about doing something like this (reassembling audio
grains based on similarity in analysis parameters), and was made aware
of this:
http://imtr.ircam.fr/index.php/CataRT
based on this:
http://ftm.ircam.fr/index.php/Main_Page

It's all for Max, but the libraries are LGPL. I wonder if it would be
hard to port it to Csound or Python ?
My first thought was to write Python wrappers for the libraries, I
have never done that before but it seems not too complicated.
I would hope some of you had some insight or advice to share on
writing Python wrappers for C libraries
(sorry for the OT, this is not Csound specific, but I do think it is
Csound relevant re incorporating FTM)

Another thing would be porting FTM and friends to Csound as opcodes.

Oeyvind


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Re: FTM, Concatenative synthesis

peiman
Hi,

A great idea! I have used CataRT and FTM for a while and love it. I find the documentation in need of improvement but in general a very nice set of tools. Already ftm can be nicely incorporated in csound with the csound~ external for max/msp (including read/write access to tables) but of course a fully integrated version would be very much welcome.

Best
Peiman





2009/6/15 Oeyvind Brandtsegg <[hidden email]>
I've been thinking about doing something like this (reassembling audio
grains based on similarity in analysis parameters), and was made aware
of this:
http://imtr.ircam.fr/index.php/CataRT
based on this:
http://ftm.ircam.fr/index.php/Main_Page

It's all for Max, but the libraries are LGPL. I wonder if it would be
hard to port it to Csound or Python ?
My first thought was to write Python wrappers for the libraries, I
have never done that before but it seems not too complicated.
I would hope some of you had some insight or advice to share on
writing Python wrappers for C libraries
(sorry for the OT, this is not Csound specific, but I do think it is
Csound relevant re incorporating FTM)

Another thing would be porting FTM and friends to Csound as opcodes.

Oeyvind


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Re: Re: FTM, Concatenative synthesis

Chester Udell
Agreed,

I do think this would be nice to have available in Csound.  A bit off topic though:
I recently downloaded the FTM package and was immediately impressed with the examples, but the help files were extremely technical looking.  Is there documentation on FTM out there that better explains how to implement these powerful tools?  I even downloaded the papers given at the ICMC(?) conferences and was more inundated with technical information than anything.
Best,
-Chet

On Jun 17, 2009, at 7:16 AM, peiman khosravi wrote:

Hi,

A great idea! I have used CataRT and FTM for a while and love it. I find the documentation in need of improvement but in general a very nice set of tools. Already ftm can be nicely incorporated in csound with the csound~ external for max/msp (including read/write access to tables) but of course a fully integrated version would be very much welcome.

Best
Peiman





2009/6/15 Oeyvind Brandtsegg <[hidden email]>
I've been thinking about doing something like this (reassembling audio
grains based on similarity in analysis parameters), and was made aware
of this:
http://imtr.ircam.fr/index.php/CataRT
based on this:
http://ftm.ircam.fr/index.php/Main_Page

It's all for Max, but the libraries are LGPL. I wonder if it would be
hard to port it to Csound or Python ?
My first thought was to write Python wrappers for the libraries, I
have never done that before but it seems not too complicated.
I would hope some of you had some insight or advice to share on
writing Python wrappers for C libraries
(sorry for the OT, this is not Csound specific, but I do think it is
Csound relevant re incorporating FTM)

Another thing would be porting FTM and friends to Csound as opcodes.

Oeyvind


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To unsubscribe, send email [hidden email] with body "unsubscribe csound"


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Re: Re: Re: FTM, Concatenative synthesis

peiman
I feel like you about the docs. I even asked on the max forum but not much response. I think the alternative is to take part in IRCAM workshops!

P

2009/6/17 Chester Udell <[hidden email]>
Agreed,

I do think this would be nice to have available in Csound.  A bit off topic though:
I recently downloaded the FTM package and was immediately impressed with the examples, but the help files were extremely technical looking.  Is there documentation on FTM out there that better explains how to implement these powerful tools?  I even downloaded the papers given at the ICMC(?) conferences and was more inundated with technical information than anything.
Best,
-Chet

On Jun 17, 2009, at 7:16 AM, peiman khosravi wrote:

Hi,

A great idea! I have used CataRT and FTM for a while and love it. I find the documentation in need of improvement but in general a very nice set of tools. Already ftm can be nicely incorporated in csound with the csound~ external for max/msp (including read/write access to tables) but of course a fully integrated version would be very much welcome.

Best
Peiman





2009/6/15 Oeyvind Brandtsegg <[hidden email]>
I've been thinking about doing something like this (reassembling audio
grains based on similarity in analysis parameters), and was made aware
of this:
http://imtr.ircam.fr/index.php/CataRT
based on this:
http://ftm.ircam.fr/index.php/Main_Page

It's all for Max, but the libraries are LGPL. I wonder if it would be
hard to port it to Csound or Python ?
My first thought was to write Python wrappers for the libraries, I
have never done that before but it seems not too complicated.
I would hope some of you had some insight or advice to share on
writing Python wrappers for C libraries
(sorry for the OT, this is not Csound specific, but I do think it is
Csound relevant re incorporating FTM)

Another thing would be porting FTM and friends to Csound as opcodes.

Oeyvind


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To unsubscribe, send email [hidden email] with body "unsubscribe csound"



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Re: Re: Re: FTM, Concatenative synthesis

achnn
This post has NOT been accepted by the mailing list yet.
Hi,

Is there any chance with concat ugen from supercollider ?
achnn
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