Université Blida 1

Parcourir Département d'Informatique par sujet "Feature Extraction"

Parcourir Département d'Informatique par sujet "Feature Extraction"

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  • A Study of Sound Event Detection Techniques for Home Activity Monitoring 
    Zabat, Sarra; Zidane, Nesrine (Université Blida 1, 2020)
    This thesis is dedicated to an experimental study of home acoustic activity monitoring within sound event detection systems. The principal goal is to develop an efficient system for activity classification using a large ...
  • Abnormal sound detection for machine condition monitoring 
    Mokhtari, Abderrahim (Université Blida 1, 2021-10-04)
    Anomalous sound detection (ASD) is the task to identify whether the sound emitted from a target machine is normal or anomalous. Automatically detecting mechanical failure is an essential technology in the fifth industrial ...
  • AN EXPERIMENTAL STUDY OF SOUND SCENE CLASSIFICATION TECHNIQUES FOR SMART SYSTEMS 
    BOUKABOUS, Ali Nazim; BOUZIDI, Sohaib Mouhcine (Université Blida 1, 2019)
    This thesis is dedicated to the study of Acoustic Scene Classification systems. The primary goal is to provide researchers and practitioners with guidelines that describe key steps for developing efficient scene ...
  • DEEP CO-TRAINING FRAMEWORK FOR SEMI-SUPERVISED AUDIO TAGGING 
    Cheifa, Ikram; Yakhlef, Hadjer ( Promotrice); Diffallah, Zhor ( promotrice) (Université Blida 1, 2022)
    Audio tagging, also known as Sound Event Recognition, is concerned with the development of systems that are able to recognize sound events. A sound event is perceived as a separate individual entity that we can name and ...
  • Deep neural networks-based systems for acoustic scene recoginition 
    Zekrifa, Yousra; Diffallah, Zhor (Université Blida 1, 2020)
    Acoustic scene classification (ASC) refers to the identification of the environment in which audio excerpts have been recorded, which associates a semantic label to each audio recording. This task has drawn lots of attention ...
  • Experimental design and analysis of audio tagging systems 
    Amirouche, Bouchra; Moussa, Ilhem (Université Blida 1, 2020)
    The goal of general-purpose audio tagging is to create systems capable of recognizing a variety of sounds. Including musical instruments, vehicles, animals, sounds generated by some sort of human activity etc. The ...
  • Semi-Supervised learning for multi-label audio tagging 
    Amrouche, Djamel Edinne; Allali, Adil (Université Blida 1, 2021)
    Audio Tagging is concerned with the development of systems that are able to recognize sound events. A growing interest is geared towards audio tagging for various applications such as acoustic surveillance, tagging video ...

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