SpokenArabicDigit
OpenML dataset with id 4563
Al-Jouf Kingdom of Saudi Arabia e-mail: nacereddine.hammami '@' gmail.com mouldi_bedda '@' yahoo.fr Date: October, Al-Jouf University Sakaka, Algeria. Direction: Prof.Mouldi Bedda Participants: H.Dahmani, C.Snani, Data Collected by the Laboratory of Automatic and Signals, MC.Amara Korba, S.Atoui Adapted and preprocessed by : Nacereddine Hammami and Mouldi Bedda Faculty of Engineering, University of Badji-Mokhtar Annaba, 2008
Full work available at URL: https://api.openml.org/data/v1/download/1798856/SpokenArabicDigit.arff
Upload date: 17 February 2016
Dataset Characteristics
Number of features: 13 (numeric: 13, symbolic: 0 and in total binary: 0 )
Number of instances: 178,526
Number of instances with missing values: 4,400
Number of missing values: 57,200
Abstract: This dataset contains timeseries of mel-frequency cepstrum coefficients (MFCCs) corresponding to spoken Arabic digits. Includes data from 44 male and 44 female native Arabic speakers. Source:
Data Collected by the Laboratory of Automatic and Signals, University of Badji-Mokhtar Annaba, Algeria.
Direction: Prof.Mouldi Bedda Participants: H.Dahmani, C.Snani, MC.Amara Korba, S.Atoui Adapted and preprocessed by : Nacereddine Hammami and Mouldi Bedda Faculty of Engineering, Al-Jouf University Sakaka, Al-Jouf Kingdom of Saudi Arabia e-mail: nacereddine.hammami '@' gmail.com mouldi_bedda '@' yahoo.fr Date: October, 2008
Data Set Information:
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.
Attribute Information:
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.
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