An efficient MFCC extraction method in speech recognition 论文
2006引用 289
Blind Source Separation TechniquesSpeech and Audio ProcessingSpeech Recognition and Synthesis
摘要
This paper introduces a new algorithm of extracting MFCC for speech recognition. The new algorithm reduces the computation power by 53% compared to the conventional algorithm. Simulation results indicate the new algorithm has a recognition accuracy of 92.93%. There is only a 1.5% reduction in recognition accuracy compared to the conventional MFCC extraction algorithm, which has an accuracy of 94.43%. However, the number of logic gates required to implement the new algorithm is about half of the MFCC algorithm, which makes the new algorithm very efficient for hardware implementation.