Train-Arabic-Digit     (Machine Learning Data)
Download data
This data set is in the collection of Machine Learning Data
Train-Arabic-Digit is
27MB
compressed!Visualize and interactively analyze Train-Arabic-Digit and discover valuable insights using our interactive visualization platform. Compare with hundreds of other data across many different collections and types.
Metadata
Name | Spoken Arabic Digit |
Data types | Multivariate, Time-Series |
Data task | Classification |
Attribute types | Real |
Instances | 8800 |
Attributes | 13 |
Year | 2010 |
Area | Other |
Description | 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. |
Please cite the following if you use the data:
Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.
@inproceedings{nr,
title={The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle={AAAI},
url={https://networkrepository.com},
year={2015}
}
@ Name = Spoken Arabic DigitData types = Multivariate,
Time-SeriesData task = ClassificationAttribute types = RealInstances = 8800Attributes = 13Year = 2010Area = OtherDescription = 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.,
Interactive Visualization of Machine Learning Data
Tools for Interactive Exploration of ML Data
Visualize and interactively explore Train-Arabic-Digit
and its important statistics!
- A subset of interesting data points may be selected. To select a subset of data points, hold down the left mouse button while dragging the mouse in any direction until the data points of interest are highlighted.This feature allows users to explore and analyze various subsets of data points to gain insights
- Zoom in/out on the visualization you created at any point by using the buttons below on the left.
- Once a subset of interesting data points are selected, the user may further analyze by selecting and drilling down on any of the interesting attributes using the left menu below.
- We also have tools for interactively visualizing, comparing, and exploring the data and statistics.