Speech recognition and comparison algorithms

cbusu

I am doing several research for a prototype which I will be building. My prototype will consist of single word speech recognition and comparison with a preset recorded words. The prototyped system will then ask the user to say a the word and give a percentage match.

I am hoping to build this prototype with JAVA/Processing, however I am not at that stage yet, I am still researching all the available algorithms that exist in order to implement the above. I am seeking some guidance from you experts out there if I am on the right track in looking at the following algorithms to be able to implement the above:

• Acoustic speech recognition
• Hidden Markov Model algorithm
• Discrete Fourier Transform
• Fast Fourier Transform
• The Cross-correlation Algorithm
• The Auto-correlation Algorithm
• The FIR Wiener Filter

I am sorry I cannot provide any code for the time being I am still in the theory research part, If this question is not suitable to this forum please let me know so I can delete it and waste no one's time as it is not my intention.

P.S. Keep in mind that since this is only a prototype, moving forward I will research and eventually use any already existing algorithms (API's/Libraries in JAVA/Processing) so that is mostly why I am asking if I am on the right track. Many thanks for your help guys !

KevinWorkman

This is a pretty broad question, and the stuff you've mentioned are pretty broad categories themselves. It's hard for us to tell whether you're on the right track or not, because you aren't really on a track yet!

I will warn you that this isn't a trivial project, so hopefully you've got plenty of time to get this done, especially if you don't even really know how to start yet.