Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …

Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …

Emotional state recognition of a speaker is a difficult task for machine learning algorithms
which plays an important role in the field of speech emotion recognition (SER). SER plays a …

Abstract The Speech Emotion Recognition (SER) is a complex task because of the feature
selections that reflect the emotion from the human speech. The SER plays a vital role and is …

Environmental sound classification (ESC) is a challenging problem due to the complexity of
sounds. The classification performance is heavily dependent on the effectiveness of …

The automatic detection of an emotional state from human speech, which plays a crucial role
in the area of human-machine interaction, has consistently been shown to be a difficult task …

Cardiovascular diseases are the leading cause of death and severely threaten human
health in daily life. There have been dramatically increasing demands from both the clinical …

The number of publications on acoustic scene classification (ASC) in environmental audio
recordings has constantly increased over the last few years. This was mainly stimulated by …

Agriculture is necessary for all human activities to survive. Overpopulation and resource
competitiveness are major challenges that threaten the planet's food security. Smart farming …

Environmental sound classification (ESC) is a challenging problem due to the complex
temporal structure and diverse energy modulation patterns of environmental sounds. In …