Archives August 2014

Python-dbus needs some non-trivial examples

So I got tired of paying work this afternoon and decided I would work on getting a dbus service started for Listener. The idea here is that there will be a DBus service which does all the context management, microphone setup, playback, etc and client software (such as the main GUI and apps that want ...

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Seem to need hidden-markov-models for text extraction...

So in order to "seed" listener with text-as-it-would-be-spoken for coding, I've built up a tokenizer that will parse through a file and attempt to produce a model of what would have been said to dictate that text. The idea being that we want to generate a few hundred megabytes of sample statements that can ...

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Project-to-language model almost working

So at this point Listener can generate a language model from a (Python) project and the dictation results from that are reasonable, but by no means perfect, still, you can dictate text as long as you stick to the words and statements already used in the project.  There are some obvious reworks now showing up ...

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Automatic Language Model Creation Started

Since the point of Listener is to allow for coding, the language model needs to reflect how one would dictate code. Further, to get reasonable accuracy I'm hoping to tightly focus the language models so that your language model for project X reflects the identifiers (and operators, etc) you are using in that project ...

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Listener is Crawling Forward

I spent the day working on Listener. The bulk of the work was just cleanup, getting TODO items set up, fixing the setup script, etc. The actual task of voice dictation didn't get moved very far (I got a trivial "correct that") event working, but it doesn't actually make anything happen.

I also ...

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