People communicate with each other by exchanging verbal and visual expressions. However, paralyzed patients with various neurological diseases such as amyotrophic lateral sclerosis and cerebral ischemia have difficulties in daily communications because they cannot control their body voluntarily. In this context, brain-computer interface (BCI) has been studied as a tool of communication for thes...

Work has continued on the "analysis-by-synthesis" programs (1, 2) for the TX-0 computer, with an emphasis on gaining greater precision in the matching of vowel and consonant spectra, greater ease in manipulating test spectra, and a better understanding of various error criteria. Collaterally with the automatic resolution of spectra leading to the development of speech-recognition systems, atten...

Language is grounded in sensory-motor experience. Grounding connects concepts to the physical world enabling humans to acquire and use words and sentences in context. Currently, machines which process text and spoken language are not grounded in human-like ways. Instead, semantic representations in machines are highly abstract and have meaning only when interpreted by humans. We are interested ...

Speech is the most natural form of communication for human beings and is often described as a unimodal communication channel. However, it is well known that speech is multimodal in nature and includes the auditive, visual, and tactile modalities. Other less natural modalities such as electromyographic signal, invisible articulator display, or brain electrical activity or electromagnetic activit...

This paper describes a client-server speech-to-speech translation system developed on a multi-lingual speech communication platform. This platform enables easy assembly of speech communication system from the corresponding software modules (e.g. speech recognition, spoken language machine-translation, speech synthesis). This client-server speech translation system is designed for use at mobile ...



 Based on a review of models and theories in speech communication, this paper proposes an original Bayesian framework able to express each of them in a unified way. This framework allows to selectively incorporate motor processes in perception or auditory representations in production, thus implementing components of a perceptuo-motor link in speech communication processes. This provides a ba...