This paper describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. Our gait representation is based on simple features such as moments extracted from video silhouettes of human walking motion. We claim that our gait dynamics representation is rich enough for the task of recognition and classification. The...

We study a dynamic coordination process in which agents are uncertain about the actions of their fellow agents, and anticipate strategically relevant information. Because of the uncertainty and learning, (ir)reversibility of actions has important strategic consequences. We find that the reversibility option can either enhance or hamper efficient coordination, and we characterize the direction o...

We show how our optimization-based model of speech timing reproduces three effects of prosodic prominence on suprasegmental timing patterns in speech: (1), the durational interaction between lexical stress and pitch accent, (2), polysyllabic shortening in pitch-accented words and (3), differential behavior of prominent and non-prominent syllables under speaking rate variation. We review the lit...

The subject of this discussion consists selected concepts regarding the codematic foundations foreign-language learning and cybernetic systems communication. author focuses on processes controlling, regulating, directing structures at inter-individual level from teacher to learner. control process, coupled with process basic information transfer, supports strengthens it, both linguistic (supras...

Intonation, when used in a narrow sense, refers to fundamental frequency (henceforth F0) patterns in speech that convey information beyond lexical meanings. In a broader sense, intonation also includes other suprasegmental patterns such as duration, intensity and voice quality, etc., that also convey non-lexical meanings. This article will focus mainly on the former, because, as will be seen, F...

In this paper a method of integrating a model of suprasegmental duration with a HMM-based recogniser at the post-processing level is presented. The N-Best utterance output is rescored using a suitable linear combination of acoustic log-likelihood (provided by a set of tied-state triphone HMMs) and duration log-likelihood (provided by a set of durational models). The durational model used in the...

This work is aimed at exploiting Second-Order Circular Suprasegmental Hidden Markov Models (CSPHMM2s) as classifiers to enhance talking condition recognition in stressful and emotional talking environments (completely two separate environments). The stressful talking environment that has been used in this work uses Speech Under Simulated and Actual Stress (SUSAS) database, while the emotional t...

It is well known that emotion recognition performance is not ideal. The work of this research is devoted to improving emotion recognition performance by employing a two-stage recognizer that combines and integrates gender recognizer and emotion recognizer into one system. Hidden Markov Models (HMMs) and Suprasegmental Hidden Markov Models (SPHMMs) have been used as classifiers in the two-stage ...