Lung sounds convey relevant information related to pulmonary disorders, and to evaluate
patients with pulmonary conditions, the physician or the doctor uses the traditional …

The conventional audio feature extraction methods employed in the audio analysis are
categorized into time-domain and frequency-domain. Recently, a new audio feature …

Music genre is an important feature to identify a musical work. Thus, it is the most used label
to organize musical datasets. However, this label is not always available and its …

This paper surveys 560 publications about music genre recognition (MGR) published
between 2013–2022, complementing the comprehensive survey of [474], which covered the …

Music genre recognition (MGR) is an area of research in the broad scope of music
information retrieval (MIR) and audio signal processing. Music genres are categorical labels …

This paper introduces the first application of feature extraction and machine learning to
electromagnetic interference (EMI) signals for discharge sources classification in high …

This book chapter presents an approach for heart sound classification based on time‐
frequency image texture feature and support vector machine classifier. Firstly, the …

Musical instrument classification, a key area in Music Information Retrieval, has gained
considerable interest due to its applications in education, digital music production, and …

The texture classification of an image is related to an important musical attribute, the music
genre. This relationship is depicted in the visual representation of the audio signal, called as …