Automatic environmental sound classification (ESC) is one of the upcoming areas of
research as most of the traditional studies are focused on speech and music signals …

This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …

Although research in audio recognition has traditionally focused on speech and music
signals, the problem of environmental sound recognition (ESR) has received more attention …

Deep learning for video classification and captioning Page 1 IPART MULTIMEDIA
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …

Since their launch in the early 1990's, recommender systems (RSs) have played an
essential role in information filtering and providing personalized information to users by …

Coping with scarcity of labeled data is a common problem in sound classification tasks.
Approaches for classifying sounds are commonly based on supervised learning algorithms …

Several deep learning algorithms have emerged for the automatic classification of
environmental sounds. However, the non-availability of adequate labeled data for training …

Various types of deep learning architecture have been steadily gaining impetus for
automatic environmental sound classification. However, the relative paucity of publicly …

This paper presents the real-time implementation and field testing of an app running on
smartphones for classifying noise signals involving subband features and a random forest …

On the social media platform TikTok, users are able to engage with each other's content by
using the Duet feature, which allows them to re-share another user's video while also …