Speech Recognition: Learn Digital Signal Processing

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To develop a speech recognition software for PC, foundational knowledge in Digital Signal Processing (DSP) is essential, particularly in sound data processing techniques. Familiarity with Fourier series and transforms is beneficial. Understanding the complexities of speech recognition systems is crucial, as highlighted in resources like the Citizendium overview. Existing software options, such as Dragon NaturallySpeaking and Mac Speech, are noted for their effectiveness, though they require substantial system resources. Exploring these established tools can provide insights and save time in the development process.
CylonMath
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Hello , I want to do a small Speech Recognition Software for my pc , to allow me use my voice to start some programs and execute some commands on shell ( I know there are others but i want to do in on the educational side)

What subjects i should learn first ? I haven't taken Digital Signal Processing courses yet, however i have knowledge in Fourier series and transforms. What should i know to process sound data ?

Can you describe briefly , thanks !
 
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Thank you , that explains briefly.
 
As an FYI Dragon Natural Speaking is favored by the Doc and Attorneys I support. It is a big resource hog so a beefy PC is recommended.

http://www.nuance.com/naturallyspeaking/

I use Mac Speech on the OS X as well. It is impressive. It is built upon Dragon's engine.
http://www.macspeech.com/

I know you wanted to write something, but these might save you some time.
 

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