Data
SpokenArabicDigit

SpokenArabicDigit

active ARFF Publicly available Visibility: public Uploaded 17-02-2016 by Hilda Fabiola Bernard
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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. Citation Request: Please refer to the Machine Learning Repository's citation policy

13 features

V1numeric60684 unique values
4400 missing
V2numeric45849 unique values
4400 missing
V3numeric63559 unique values
4400 missing
V4numeric58718 unique values
4400 missing
V5numeric59588 unique values
4400 missing
V6numeric61744 unique values
4400 missing
V7numeric67933 unique values
4400 missing
V8numeric64512 unique values
4400 missing
V9numeric70733 unique values
4400 missing
V10numeric64478 unique values
4400 missing
V11numeric67399 unique values
4400 missing
V12numeric69341 unique values
4400 missing
V13numeric70721 unique values
4400 missing

62 properties

178526
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
57200
Number of missing values in the dataset.
4400
Number of instances with at least one value missing.
13
Number of numeric attributes.
0
Number of nominal attributes.
-0.35
First quartile of skewness among attributes of the numeric type.
-0.49
Mean of means among attributes of the numeric type.
0.63
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
-0.13
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.45
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
-0.19
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
1.09
Mean standard deviation of attributes of the numeric type.
-0.07
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
0.83
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.74
Minimum kurtosis among attributes of the numeric type.
2.46
Percentage of instances having missing values.
Third quartile of entropy among attributes.
2.09
Maximum kurtosis among attributes of the numeric type.
-3.23
Minimum of means among attributes of the numeric type.
2.46
Percentage of missing values.
0.12
Third quartile of kurtosis among attributes of the numeric type.
2.19
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
100
Percentage of numeric attributes.
-0.2
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-1.18
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
0.06
Third quartile of skewness among attributes of the numeric type.
0.25
Maximum skewness among attributes of the numeric type.
0.52
Minimum standard deviation of attributes of the numeric type.
-0.43
First quartile of kurtosis among attributes of the numeric type.
1.49
Third quartile of standard deviation of attributes of the numeric type.
2.78
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
-0.72
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
-0.01
Mean kurtosis among attributes of the numeric type.

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