Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …

Arabic is recognised as the 4th most used language of the Internet. Arabic has three main
varieties:(1) classical Arabic (CA),(2) Modern Standard Arabic (MSA),(3) Arabic Dialect (AD) …

We present the results and the findings of the Second VarDial Evaluation Campaign on
Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects. The …

It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …

In this paper, we propose a Convolutional Neural Network (CNN) based speaker recognition
model for extracting robust speaker embeddings. The embedding can be extracted …

Conventionally, the extraction of hand-crafted acoustic features has been separated from the
task of establishing robust machine-learning models in speech processing. The manual …

This paper describes the fifth edition of the Multi-Genre Broadcast Challenge (MGB-5), an
evaluation focused on Arabic speech recognition and dialect identification. MGB-5 extends …

In this paper, we describe a method to collect dialectal speech from YouTube videos to
create a large-scale Dialect Identification (DID) dataset. Using this method, we collected …

Abstract The Arabic Online Commentary (AOC)(Zaidan and Callison-Burch, 2011) is a large-
scale repos-itory of Arabic dialects with manual labels for4varieties of the language. Existing …

Wearable tremor suppression devices (WTSD) have been considered as a viable solution to
manage parkinsonian tremor. WTSDs showed their ability to improve the quality of life of …