| Description: | This data set is taken from the UCI repository. It is derived from sound. Dataset from 8800 (10 digits x 10 repetitions x 88 speakers) time series of 13 Frequency Cepstral Coefficients (MFCCs) had taken from 44 males and 44 females Arabic native speakers between the ages 18 and 40 to represent ten spoken Arabic digit. Each line on the data base represents 13 MFCCs coefficients in the increasing order separated by spaces. This corresponds to one analysis frame. The 13 Mel Frequency Cepstral Coefficients (MFCCs) are computed with the following conditions; Sampling rate: 11025 Hz, 16 bits Window applied: hamming Filter pre-emphasized: 1-0.97Z^(-1) Relevant Papers: [1] N. Hammami, M. Bedda ,"Improved Tree model for Arabic Speech Recognition", Proc. IEEE ICCSIT10 Conference, 2010. [2] N. Hammami, M. Sellami ,"Tree distribution classifier for automatic spoken Arabic digit recognition", Proc. IEEE ICITST09 Conference, 2009 , PP 1-4. |
