This paper presents two models that use interval type-2 fuzzy sets (IT2 FSs) for representing
the meaning of words that refer to emotions. In the first model, the meaning of an emotion …

We propose the notion of latent acoustic topics to capture contextual information embedded
within a collection of audio signals. The central idea is to learn a probability distribution over …

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 …

Effective retrieval of multimodal data involves performing accurate segmentation and
analysis of such data. With easy access to a number of audio and video sharing platforms …

We propose a novel method for analyzing acoustic scenes that can sophisticatedly estimate
acoustic scenes from an acoustic event sequence with intermittent missing events. On the …

In the universe of audio signals, the notions of syntax, semantics, pragmatics, etc. have been
associated with a very limited set of domains, such as speech and language, and musical …

We discuss the problem of automatically discovering different acoustic regions in the world,
and then labeling the trajectory of a robot using these region labels. We use quantized Mel …

The ability to automatically analyze audio content is a key aspect of information retrieval
systems that deal with multimodal files. The unprecedented growth of web-based user …

Les méthodes de compréhension de la parole visent à extraire des éléments de sens
pertinents du signal parlé. On distingue principalement deux catégories dans la …

As an efficient sampling algorithm for latent dirichlet allocation SparseLDA uses cache
strategy to improve the time and space efficiency of its standard gibbs sampling algorithm …