The aim of this thesis is to investigate computerized voice assessment methods to classify between the normal and Dysarthric speech signals. In this proposed system, computerized assessment methods equipped with signal processing and artificial intelligence techniques have been introduced. The sentences used for the measurement of inter-stress intervals (ISI) were read by each subject. These se...

Objectives. This study assessed the correlation between performance intelligence and the postoperative cochlear implant (CI) outcome in Korean-speaking children. In addition, the relationship between the performance intelligence subscales and the post-CI speech outcome was evaluated. Materials and Methods. Thirteen pediatric CI users (five males, eight females; median age at implantation 6.2 (r...

The goal of the Multimodal User Supervised Interface and Intelligent Control (MUSIIC) project is to develop an assistive manipulative robotic system for use in an unstructured environment by people with manipulatory disabilities. MUSIIC integrates a speech and pointing based human-machine interface with autonomous planning techniques from artificial intelligence. This paper describes the curren...

Mayordomo is a multimodal dialogue system designed to interact with an Ambient Intelligence environment implemented in a home. The system can control appliances installed in a house through speech, text and a GUI interface. It also includes a number of additional features, including system access for identified users only, parental control and record of actions carried out by users.

Adults with developmental disability and little or no speech need to communicate with nurses in hospital to (a) express physical needs, (b) discuss health, (c) convey intelligence and emotions, (d) connect socially, and (e) control the environment. All stakeholders need access to a variety of communication strategies to support communication of these needs.

Intelligent music teaching is the direction of subsequent reforms in methods. In order to improve intelligence teaching, this paper conducts research on speech recognition technology. The conversion system based Multiscale Star GAN extracts different levels multiscale features global utterance through structure, which enhances details converted and uses residual connections alleviate problem gr...

This paper describes a system aimed at detecting speech segments in FM broadcasts. To achieve high processing speeds, simple but fast algorithms are used. To output robust decisions, a combination of many different algorithms has been considered. The system is fully operational in the context of Open Source Intelligence, since 2007.

Simpson-Golabi-Behmel syndrome (SGBS) is a rare overgrowth syndrome clinically characterized by multiple congenital abnormalities, pre/postnatal overgrowth, distinctive craniofacial features, macrocephaly, and organomegaly. Abnormalities of the skeletal system, heart, central nervous system, kidney, and gastrointestinal tract may also be observed. Intellectual disability, early motor milestones...

Whistled speech consists of a phonetic emulation of the sounds produced in spoken voice. This style of speech is the result of the adaptation of the human productive and perceptive intelligence to a language behavior. In the typology of whistled forms of languages, Spanish is among the languages for which the whistled strategy emulates primarily segmental acoustic cues of vowels and consonants....

Spoken dialogue technology has emerged over the past decade as a challenging area for researchers in artificial intelligence, speech and language processing, and humancomputer interaction. At the same time a number of leading players in the computing industry have been looking seriously at the commercial potential of interactive spoken and multimodal systems. This paper considers the challenges...