This Blue Sky presentation focuses on a major shift toward a notion of “ambient intelligence” that transcends general applications targeted at the general population. The focus is on highly personalized agents that accommodate individual differences and changes over time. This notion of Extended Ambient Intelligence (EAI) concerns adaptation to a person’s preferences and exp...

The goal of our research is the development of algorithms for automatic estimation of a person’s verbal intelligence based on the analysis of transcribed spoken utterances. In this paper we present the corpus of German native speakers’ monologues and dialogues about the same topics collected at the University of Ulm, Germany. The monologues were descriptions of two short films; the dialogues we...

BACKGROUND Language development is one of the most significant processes of early childhood development. Children with delayed speech development are more at risk of acquiring other cognitive, social-emotional, and school-related problems. Music therapy appears to facilitate speech development in children, even within a short period of time. The aim of this pilot study is to explore the effects...

Human speech is the most important part of General Artificial Intelligence and subject of much research. The hypothesis proposed in this article provides explanation of difficulties that modern science tackles in the field of human brain simulation. The hypothesis is based on the author’s conviction that the brain of any given person has different ability to process and store information. There...

This paper reports on the development of an English speech synthesis system for a Japanese amyotropic lateral sclerosis patient as part of the project of developing a bilingual communication aid for this patient. The patient had a tracheotomy three years ago and anticipates the possibility of losing his phonatory function. His English speech database for Festival, a free speech synthesis system...

This paper analyses coarticulation in Italian and French monolingual stutterers tested in fluent speech. Our aim is to discover whether the stutterers’ fluent speech presents specificities in intra-syllabic coarticulation opposed to the fluent speakers. Two factors will be considered: the role of the syllabic complexity and that of the language. The participants repeat syllables of variable com...

The area of human machine interaction and machine intelligence in a social context is interesting and challenging to the Artificial Intelligence and Robotics community. The issue of developing humanoid robots with human-like perception is, for example, described in Brooks [13] research. Humans have five classical senses and sensors – vision, hearing, touch, smell, and taste, by which they perce...

Statistical approaches to Artificial Intelligence are behind most success stories of the field in the past decade. The idea of generating non-trivial behaviour by analysing vast amounts of data has enabled recommendation systems, search engines, spam filters, optical character recognition, machine translation and speech recognition, among other things. As we celebrate the spectacular achievemen...