Sri International

Victor Abrash

Horacio E Franco

Jing Zheng

Kristin Precoda

Andreas Stolcke

Harry Bratt

Douglas A Bercow

Michael Frandsen

Luciana Ferrer

Colleen Richey

Federico Cesari

Murat Akbacak

Christopher George

A method for classifying lexical stress in an utterance includes generating a feature vector representing stress characteristics of a syllable occurring in the utterance, wherein the feature vector includes a plurality of features based on prosodic information and spectral information, computing a plurality of scores, wherein each of the plurality of scores is related to a probability of a given class of lexical stress, and classifying the lexical stress of the syllable based on the plurality of scores.

Method and apparatus for classifying lexical stress

The present invention relates to a method and apparatus for adding new vocabulary to interactive translation and dialog systems. In one embodiment, a method for adding a new word to a vocabulary of an interactive dialog includes receiving an input signal that includes at least one word not currently in the vocabulary, inserting the word into a dynamic component of a search graph associated with the vocabulary, and compiling the dynamic component independently of a permanent component of the search graph to produce a new sub-grammar, where the permanent component comprises a plurality of words that are permanently part of the search graph.

Method and apparatus for adding new vocabulary to interactive translation and dialogue systems

The present invention is a method and apparatus for reading education. In one embodiment, a method for recognizing an utterance spoken by a reader, includes receiving text to be read by the reader, generating a grammar for speech recognition, in accordance with the text, receiving the utterance, interpreting the utterance in accordance with the grammar, and outputting feedback indicative of reader performance.

Method and apparatus for reading education

The present invention relates to a method and apparatus for obtaining complete speech signals for speech recognition applications. In one embodiment, the method continuously records an audio stream comprising a sequence of frames to a circular buffer. When a user command to commence or terminate speech recognition is received, the method obtains a number of frames of the audio stream occurring before or after the user command in order to identify an augmented audio signal for speech recognition processing. In further embodiments, the method analyzes the augmented audio signal in order to locate starting and ending speech endpoints that bound at least a portion of speech to be processed for recognition. At least one of the speech endpoints is located using a Hidden Markov Model.

Method and apparatus for obtaining complete speech signals for speech recognition applications

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Montara, CA, United States of America

Victor Abrash