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Quickest and easiest way to implement speech to text conversion for a small speech subset
原标题:

I want to implement a system that receives speech through a microphone on my Mac OS x. I know arbitrary speech recognition is close to impossible without training the system so I m willing to restrict it to 10 simple sentences. It must recognize with a high degree of accuracy which of these 10 sentences are being spoken, generate the text and add an entry to a remote MySQL database.

With these being the architecture of the system I want to implement, could anyone give me an overview of what would be the best way to go about implementing this system? I m looking for ideas like open source libraries to minimize the coding as this is just a prototype application for a demonstration. Basically I m looking for a quick and easy solution. Thanks!

问题回答

I think that Sphinx is probably your only option.

Sphinx is a good speech recognition API that fits your purpose. You can get a simple tutorial on how to use sphinx in http://preciselyconcise.com/apis_and_installations/sphinx.php





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