The second-order derivatives of MFCC for improving spoken Arabic digits recognition using Tree distributions approximation model and HMMs

@article{Hammami2012TheSD,
  title={The second-order derivatives of MFCC for improving spoken Arabic digits recognition using Tree distributions approximation model and HMMs},
  author={Nacereddine Hammami and Mouldi Bedda and Farah Nadir},
  journal={2012 International Conference on Communications and Information Technology (ICCIT)},
  year={2012},
  pages={1-5}
}
Mel Frequency Cepstral Coefficients (MFCCs) are the most popularly used speech features in many speech and speaker recognition applications. In this paper, we study the effect of the second-order derivatives of MFCC on the recognition of the Spoken Arabic digits. The system was developed using the Hidden Markov Models (HMMs) and Tree distribution… CONTINUE READING