Nowadays, deep neural networks are widely used in mission critical systems such as
healthcare, self-driving vehicles, and military which have direct impact on human lives …

Music genre classification utilizing neural networks (NNs) has achieved some limited
success in recent years. Differences in song libraries, machine learning techniques, input …

Deep neural networks have been able to outperform humans in some cases like image
recognition and image classification. However, with the emergence of various novel …

Computer Science experiments, whether they comprise the development of new system
tools and algorithms or performance evaluation of new hardware, typically require direct …

This paper presents a web application that retrieves songs from YouTube and classifies
them into music genres. The tool explained in this study is based on models trained using …

In the era of deep learning, research into the classification of various components of the
acoustic environment, especially in-the-wild recordings, is gaining in popularity. This is due …

Music plays an important role in our society and has applications broader than just
entertainment and pleasure due to its social and physiological effects. There has been …

Artificial Intelligence (AI) thinking is a framework beyond procedural thinking and based on
cognitive and adaptation to automatically learn deep and wide rules and semantics from …

This paper shows the susceptibility of spectrogram-based audio classifiers to adversarial
attacks and the transferability of such attacks to audio waveforms. Some commonly used …

This thesis investigates the potential of deep neural networks for representations learning
from audio signals. Novel deep learning models based on convolutional and recurrent …