Sunday, 28 March 2010

Updated Idea and Progression


So in my previous post I made reference to a number of digital to physical projects that involve web content of different kinds. I also commented on a project idea that involved creating digital content from a physical environment and that project idea is the following.

My idea is to create a physical installation that takes sounds (in particular speech) from an environment and transforms them into online digital content. The plan is to use speech from a public environment and transform that into online content via twitter. The context behind this idea is to use speech from a public environment and convert it to tweets, due to the idea of twitter being a public environment for thoughts and ideas.

I came across two patches for Max/MSP interactive software that would possibly help me to create a physical to digital project. The two patches are Twitter for Max/MSP and "aka.Listen". Twitter for max/MSP allows the user to directly tweet to twitter via the max/MSP environment. This would enables me to connect other ways to communicate with twitter using this max object. The aka.listen object is a speech recognition application that uses Mac OSX's speech command system to enable the user to use voice control within max/MSP.

So far I have successfully managed to connect the two objects so that when a user speaks it records what they say and adds the speech to text recognition into a text box ready to be sent to Twitter. I need to explore these further as at the moment I have to assign specific keywords to the aka.listen object in order for words to be recognised by voice, it does not automatically detect spoken words but only specified words or phrases so it seems. This could cause some issues with the project plan due to the fact I want it to be unrestricted in terms of content production and not be pre-determined as this would defeat the object of the project itself.

My next step is to explore whether there is another way for the speech recognition to detect spoken words with out having to input specific phrases, failing that I may try and find a way to add an entire dictionary to the patch so that it automatically loads all available words within the english language...

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