Nuance Communications

About: Nuance Communications is a company organization based out in Vienna, Austria. It is known for research contribution in the topics: Speech processing & Voice activity detection. The organization has 1518 authors who have published 1701 publications receiving 54891 citations. The organization is also known as: ScanSoft & ScanSoft Inc..

A Consensus Approach for Annotation Projection in an Advanced Dialog Context

Abstract: Data annotation is a common way to improve the reliability of advanced dialog applications. Unfortunately, since those annotations are highly language-dependent, the universalization can become a very lenghty process. Even though some projection methods exist, most of them require a deeper level of annotation than the one used for advanced dialogs. In this paper, we present a consensus approach that exploits the specificities of a sparse annotation in order to do the data projection.

Interaction system and method

Abstract: A method, computer program product, and computing system for monitoring an interior environment of a motor vehicle; determining a personal state of an occupant within the interior environment of the motor vehicle; and interacting with the occupant based, at least in part, upon the personal state of the occupant.

Generation of an alternative pronunciation

Abstract: A method of generating an alternative pronunciation for a word or phrase, given an initial pronunciation and a spoken example of the word or phrase, includes providing the initial pronunciation of the word or phrase, and generating the alternative pronunciation by searching a neighborhood of pronunciations about the initial pronunciation via a constrained hypothesis, wherein the neighborhood includes pronunciations that differ from the initial pronunciation by at most one phoneme. The method further includes selecting a highest scoring pronunciation within the neighborhood of pronunciations.

Data Search Service

Abstract: In an embodiment, speech may be acquired from a user. A concept, that may be associated with the user, may be identified from the acquired speech. The concept may be identified by fuzzy matching one or more words in the acquired speech with data contained in a data store. The data store may be associated with the user. An action may be performed based on the identified concept.