Improving Dialogue Act Classification for Spontaneous Arabic Speech and Instant Messages at Utterance Level

no code implementations • LREC 2018 • AbdelRahim Elmadany, Sherif Abdou, Mervat Gheith

The ability to model and automatically detect dialogue act is an important step toward understanding spontaneous speech and Instant Messages.

Dialogue Act Classification General Classification

An Unsupervised Speaker Clustering Technique based on SOM and I-vectors for Speech Recognition Systems

no code implementations • WS 2017 • Hany Ahmed, Mohamed Elaraby, Abdullah M. Mousa, Mostafa Elhosiny, Sherif Abdou, Mohsen Rashwan

The proposed technique is mainly based on I-vectors and Self-Organizing Map Neural Network(SOM). The input to the proposed algorithm is a set of speech utterances.

Automatic Speech Recognition (ASR) Clustering +2

AltecOnDB: A Large-Vocabulary Arabic Online Handwriting Recognition Database

no code implementations • 24 Dec 2014 • Ibrahim Abdelaziz, Sherif Abdou

Currently, there is no online Arabic handwriting database with large lexicon, high coverage, large number of writers and training/testing data.

Handwriting Recognition Sentence

Large Vocabulary Arabic Online Handwriting Recognition System

no code implementations • 17 Oct 2014 • Ibrahim Abdelaziz, Sherif Abdou, Hassanin Al-Barhamtoshy

In this paper, we introduce a fully-fledged Hidden Markov Model (HMM) based system for Arabic online handwriting recognition that provides solutions for most of the difficulties inherent in recognizing the Arabic script.

Handwriting Recognition Language Modelling