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, 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
- Dynamic Time Warping algorithms
- Mel Frequency Cepstral Coefficient
I am not sure if the above is wrong for my project and look into audio fingerprinting.
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) so that is mostly why I am asking if I am on the right track. Many thanks for your help guys !