[PD] Binaural w32?

Dan Wilcox danomatika at gmail.com
Wed Jun 2 17:04:38 CEST 2021

Nothing too major.

We haven't made a changelog yet but the changes in the current main branch form the last 0.2.1 tag (2013) are: 

* update to build via pd-lib-builder
* loading the dataset txt file is now optional (needs double-checking)
* fixed hang when dataset file is not loadable
* post header only once on load and include version
* avoid crashes by making sure that the "dsp" method cannot be called from the patch

Some future optimizations in the pipeline are: https://github.com/pd-externals/earplug/pulls <https://github.com/pd-externals/earplug/pulls>

I will try to add a changelog and new stable 0.2.2 tag tonight. You could then bug a Windows dev to make a build for deken...

When we review the other optimizations, they would go into a 0.3.0 version.

> On Jun 2, 2021, at 3:56 PM, pd-list-request at lists.iem.at wrote:
> Message: 3
> Date: Wed, 2 Jun 2021 13:33:11 +0100
> From: Jo?o Pais <jmmmpais at gmail.com <mailto:jmmmpais at gmail.com>>
> Cc: Pd-List <pd-list at lists.iem.at <mailto:pd-list at lists.iem.at>>
> Subject: Re: [PD] Binaural w32?
> Message-ID: <3ffaeb84-291c-7e2e-981e-a1ca531f6dfe at gmail.com <mailto:3ffaeb84-291c-7e2e-981e-a1ca531f6dfe at gmail.com>>
> Content-Type: text/plain; charset=windows-1252; format=flowed
> that is nice - although I can't really build anything in windows on my 
> own. what are the improvements compared to the 2009 version?
>> I updated the earplug~ external to build using pd-lin-builder, so it 
>> should be easy to build on Windows:
>> https://github.com/pd-externals/earplug/tree/main <https://github.com/pd-externals/earplug/tree/main> 
>> <https://github.com/pd-externals/earplug/tree/main <https://github.com/pd-externals/earplug/tree/main>>
>> It's not the best but we use it for a project at work. It can use some 
>> additional optimizations and the dataset is for 44.1k so you are in 
>> luck. For our project, we are likely to introduce resampling for other 
>> sample rates so it's more accurate beyond 44.1k...

Dan Wilcox
@danomatika <http://twitter.com/danomatika>
danomatika.com <http://danomatika.com/>
robotcowboy.com <http://robotcowboy.com/>

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