most citedArabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset

19 citations · 45 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SD2021

Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset

Aly Moustafa, Salah A. Aly

Current authentication and trusted systems depend on classical and biometric methods to recognize or authorize users. Such methods include audio speech recognitions, eye, and finge…

cs.CL2021

ASMDD: Arabic Speech Mispronunciation Detection Dataset

Salah A. Aly, Abdelrahman Salah, Hesham M. Eraqi

The largest dataset of Arabic speech mispronunciation detections in Egyptian dialogues is introduced. The dataset is composed of annotated audio files representing the top 100 word…

cs.CV2021★ 19 cited

Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset

Omar Mohamed, Salah A. Aly

Recently, there have been tremendous research outcomes in the fields of speech recognition and natural language processing. This is due to the well-developed multi-layers deep lear…

cs.CV2012★ 1 cited

A Hajj And Umrah Location Classification System For Video Crowded Scenes

Hossam M. Zawbaa, Salah A. Aly, Adnan A. Gutub

In this paper, a new automatic system for classifying ritual locations in diverse Hajj and Umrah video scenes is investigated. This challenging subject has mostly been ignored in t…

cs.CV2012★ 5 cited

A Missing and Found Recognition System for Hajj and Umrah

Salah A. Aly

This note describes an integrated recognition system for identifying missing and found objects as well as missing, dead, and found people during Hajj and Umrah seasons in the two H…

cs.CV2012★ 5 cited

Hajj and Umrah Event Recognition Datasets

Hossam Zawbaa, Salah A. Aly

In this note, new Hajj and Umrah Event Recognition datasets (HUER) are presented. The demonstrated datasets are based on videos and images taken during 2011-2012 Hajj and Umrah sea…