An audio indexing system aims at describing audio content by identifying, labeling, or
categorizing different acoustic events. Since the resulting audio classification and indexing …

This survey documents representation approaches for classification across different
modalities, from purely content-based methods to techniques utilizing external sources of …

This paper presents a vocal timbre analysis method based on topic modeling using latent
Dirichlet allocation (LDA). Although many works have focused on analyzing characteristics …

Child engagement is defined as the interaction of a child with his/her environment in a
contextually appropriate manner. Engagement behavior in children is linked to socio …

This paper presents the Bayesian nonparametric (BNP) learning for hierarchical and sparse
topics from natural language. Traditionally, the Indian buffet process provides the BNP prior …

This manuscript provides a comprehensive exploration of Probabilistic latent semantic
analysis (PLSA), highlighting its strengths, drawbacks, and challenges. The PLSA, originally …

Topic model is a hot research topic which is attracting attentions from many fields. Recently,
several studies have applied topic model to ASR (audio scene recognition). Among these …

In this paper we propose a novel framework for the classification of volcano-seismic events,
based on strategies and concepts typically employed to classify documents–subsequently …

Automatic genre classification of TV programs can benefit users in various ways such as
allowing for rapid selection of multimedia content. In this paper, we introduce an on-line …

This work develops a topic model-based hierarchical representation for identifying the latent
characteristics behind the frame-level musical features. Frame-level features and music clips …