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

Chinese Cantonese opera, a UNESCO Intangible Cultural Heritage (ICH) of Humanity, has
faced a series of development problems due to diversified entertainment and emerging …

Automatic speech/music classification is an important tool in multimedia content analysis
and retrieval which efficiently categorizes input audio and store it into relevant classes. This …

With the rapid rise of online available content, multimedia signal processing has become an
important area of research. The output of the speech/music classifier (SMC) is further used …

An ability to categorise and recognise a spoken language is an essential task in a multi-
lingual society like India. Language identification (LID) is the process of identifying the …

This work introduces a real-time system to automate the selection of radio stations based on
the listener's preference (either speech/music) by analyzing the incoming audio signals …

The differentiation between speech and music poses a prevalent issue in audio analytic,
specifically in dividing audio streams into segments and accurately labeling them as either …

This work aims to investigate the significance of different Empirical Mode Decomposition
(EMD) based statistical features for discrimination of speech and low frequency music signal …

In order to solve the problem of the influence of feature word position in lyrics on music
emotion classification, this paper designs a music classification and detection model in …

Respiratory sound samples unveil key information about the patient's lung condition.
According to the World Health Organization, respiratory diseases are one of the major …