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    Browsing by Author "Giakoumis, Dimitrios"

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      • Acoustic scene classification: from a hybrid classifier to deep learning 

        Vafeiadis, Anastasios; Kalatzis, Dimitrios; Votis, Konstantinos; Giakoumis, Dimitrios; Tzovaras, Dimitrios; Chen, Liming; Hamzaoui, Raouf (Conference)
        This report describes our contribution to the 2017 Detection and Classification of Acoustic Scenes and Events (DCASE) challenge. We investigated two approaches for the acoustic scene classification task. Firstly, we ...
      • Audio Content Analysis for Unobtrusive Event Detection in Smart Homes 

        Vafeiadis, Anastasios; Votis, Konstantinos; Giakoumis, Dimitrios; Tzovaras, Dimitrios; Chen, Liming; Hamzaoui, Raouf (Article)
        Environmental sound signals are multi-source, heterogeneous, and varying in time. Many systems have been proposed to process such signals for event detection in ambient assisted living applications. Typically, these systems ...
      • Audio-based Event Recognition System for Smart Homes 

        Vafeiadis, Anastasios; Votis, Konstantinos; Giakoumis, Dimitrios; Tzovaras, Dimitrios; Chen, Liming; Hamzaoui, Raouf (Conference)
        Building an acoustic-based event recognition system for smart homes is a challenging task due to the lack of high-level structures in environmental sounds. In particular, the selection of effective features is still an ...
      • Comparing CNN and Human Crafted Features for Human Activity Recognition 

        Cruciani, Federico; Vafeiadis, Anastasios; Nugent, Chris; Cleland, Ian; McCullagh, Paul; Votis, Konstantinos; Giakoumis, Dimitrios; Tzovaras, Dimitrios; Chen, Liming; Hamzaoui, Raouf (Conference)
        Deep learning techniques such as Convolutional Neural Networks (CNNs) have shown good results in activity recognition. One of the advantages of using these methods resides in their ability to generate features automatically. ...
      • Energy-based decision engine for household human activity recognition 

        Vafeiadis, Anastasios; Vafeiadis, Thanasis; Zikos, Stelios; Krinidis, Stelios; Votis, Konstantinos; Giakoumis, Dimitrios; Ioannidis, Dimosthenis; Tzovaras, Dimitrios; Chen, Liming; Hamzaoui, Raouf (Conference)
        We propose a framework for energy-based human activity recognition in a household environment. We apply machine learning techniques to infer the state of household appliances from their energy consumption data and use ...
      • Image-based Text Classification using 2D Convolutional Neural Networks 

        Merdivan, Erinç; Vafeiadis, Anastasios; Kalatzis, Dimitrios; Hanke, Sten; Kropf, Johannes; Votis, Konstantinos; Giakoumis, Dimitrios; Tzovaras, Dimitrios; Chen, Liming; Hamzaoui, Raouf; Geist, Matthieu (Conference)
        We propose a new approach to text classification in which we consider the input text as an image and apply 2D Convolutional Neural Networks to learn the local and global semantics of the sentences from the variations ...
      • Two-Dimensional Convolutional Recurrent Neural Networks for Speech Activity Detection 

        Vafeiadis, Anastasios; Fanioudakis, Eleftherios; Potamitis, Ilyas; Votis, Konstantinos; Giakoumis, Dimitrios; Tzovaras, Dimitrios; Chen, Liming; Hamzaoui, Raouf (Conference)
        Speech Activity Detection (SAD) plays an important role in mobile communications and automatic speech recognition (ASR). Developing efficient SAD systems for real-world applications is a challenging task due to the presence ...

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