Markov models are extremely useful as a general, widely applicable tool for many areas in
statistical pattern recognition. This unique text/reference places the formalism of Markov …

We present a data-mining experiment on feature selection for automatic emotion
recognition. Starting from more than 1000 features derived from pitch, energy and MFCC …

Whereas most state-of-the-art speech recognition systems use spectral or cepstral
representations of the speech signal, there have also been some promising attempts at …

We present EmoVoice, a framework for emotional speech corpus and classifier creation and
for offline as well as real-time online speech emotion recognition. The framework is intended …

The idea of using articulatory representations for automatic speech recognition (ASR)
continues to attract much attention in the speech community. Representations which are …

Head pose and gesture offer several key conversational grounding cues and are used
extensively in face-to-face interaction among people. We investigate how dialog context …

In this paper we make a comparative study of some successful software architectures for
mobile robot systems. The objective is to gather experience for the future design of a new …

A major challenge for the realization of intelligent robots is to supply them with cognitive
abilities in order to allow ordinary users to program them easily and intuitively. One …

We describe an augmented reality system designed for online acquisition of visual
knowledge and retrieval of memorized objects. The system relies on a head mounted …

A very important aspect in developing robots capable of human-robot interaction (HRI) is the
research in natural, human-like communication, and subsequently, the development of a …