{ "data_id": "1503", "name": "spoken-arabic-digit", "exact_name": "spoken-arabic-digit", "version": 1, "version_label": null, "description": "**Author**: Data Collected by the Laboratory of Automatic and Signals, University of Badji-Mokhtar Annaba, Algeria. \n**Source**: UCI \n**Please cite**: \n\n\n* Title of Database: Spoken Arabic Digit\n\n* Abstract: \n\nThis dataset contains time series of mel-frequency cepstrum coefficients (MFCCs) corresponding to spoken Arabic digits. Includes data from 44 males and 44 females native Arabic speakers.\n\n* Source:\n\nData Collected by the Laboratory of Automatic and Signals, \nUniversity of Badji-Mokhtar \nAnnaba, Algeria. \n\nDirection: Prof.Mouldi Bedda \nParticipants: H.Dahmani, C.Snani, MC.Amara Korba, S.Atoui \nAdapted and preprocessed by : \nNacereddine Hammami and Mouldi Bedda \nFaculty of Engineering, \nAl-Jouf University \nSakaka, Al-Jouf \nKingdom of Saudi Arabia \ne-mail: nacereddine.hammami '@' gmail.com \nmouldi_bedda '@' yahoo.fr \nDate: October, 2008\n\n\n* Data Set Information:\n\nDataset from 8800 (10 digits x 10 repetitions x 88 speakers) time series of 13 Frequency Cepstral \nCoefficients (MFCCs) had taken from 44 males and 44 females Arabic native speakers \nbetween the ages 18 and 40 to represent ten spoken Arabic digit.\n\n\n* Attribute Information:\n\nEach 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)\n\n\n* Relevant Papers:\n\n[1] N. Hammami, M. Bedda ,\"Improved Tree model for Arabic Speech Recognition\", Proc. IEEE \nICCSIT10 Conference, 2010. \n[2] N. Hammami, M. Sellami ,\"Tree distribution classifier for automatic spoken Arabic digit \nrecognition\", Proc. IEEE ICITST09 Conference, 2009 , PP 1-4.\n", "format": "ARFF", "uploader": "Rafael G. Mantovani", "uploader_id": 64, "visibility": "public", "creator": null, "contributor": null, "date": "2015-05-25 22:34:44", "update_comment": null, "last_update": "2015-11-09 20:18:08", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/1592295\/phpcB9ONH", "default_target_attribute": "Class", "row_id_attribute": null, "ignore_attribute": null, "runs": 1, "suggest": { "input": [ "spoken-arabic-digit", "* Title of Database: Spoken Arabic Digit * Abstract: This dataset contains time series of mel-frequency cepstrum coefficients (MFCCs) corresponding to spoken Arabic digits. Includes data from 44 males and 44 females native Arabic speakers. * Source: Data Collected by the Laboratory of Automatic and Signals, University of Badji-Mokhtar Annaba, Algeria. 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