Toyota Infotechnology Center Co. Ltd.

Speech Morphing Systems, Inc.

Ianywhere Solutions, Inc.

Benjamin K Reaves

Norikazu Endo

Fathy Yassa

Babak Hodjat

Steve Pearson

Masahiko Funaki

John R Brookes

Makoto Kurahashi

Ramon Eduardo Prieto

Kanae Ishii

Sandeep Mohan

A soundalike system to improve speech synthesis by training a text to speech engine on a voice like the target speakers voice.

Method and apparatus for designating a soundalike voice to a target voice from a database of voices

Method and apparatus for reducing a size of databases required for recorded speech data.

Method and apparatus for exemplary morphing computer system background

Method and apparatus for diphone or concatenative synthesis to compensate for insufficient or missing diphones.

Method and apparatus for exemplary diphone synthesizer

The voice prompt of an interactive system is adjusted based upon a state of a user. An utterance of the user is received, and the state of the user is determined based upon signal processing of the utterance of the user. Once the state of the user is determined, the voice prompt is adjusted by adjusting at least one of a tone of voice of the voice prompt, a content of the voice prompt, a prosody of the voice prompt, and a gender of the voice prompt based upon the determined state of the user.

Method and system for adjusting the voice prompt of an interactive system based upon the user's state

A speech recognition method and system for use in a vehicle navigation system utilize grammar weighted based upon geographical information regarding the locations corresponding to the tokens in the grammars and/or the location of the vehicle for which the vehicle navigation system is used, in order to enhance the performance of speech recognition. The geographical information includes the distances between the vehicle location and the locations corresponding to the tokens, as well as the size, population, and popularity of the locations corresponding to the tokens.

Method and system for speech recognition using grammar weighted based upon location information

Shortcut names corresponding to flagged locations or frequently stated destinations, phrases, or sentences are registered, maintained, used, and deregistered in a speech recognition system. If a flagged location or a frequently stated destination, phrase, or sentence is received by the speech recognition system, the user is prompted to provide a shortcut name corresponding to the frequently stated destination, phrase, or sentence in the form of speech, which is then recognized by speech recognition and registered to a personal profile of the user. The shortcut name is also added to a grammar database of the speech recognition system, so that the speech recognition system may recognize the shortcut name itself. The shortcut name may also be deleted, when speech received from a user contains a shortcut name but the user did not intend the shortcut name to mean the corresponding destination, phrase, or sentence.

Shortcut names for use in a speech recognition system

A speech recognition system recognizes an input speech signal by using a first speech recognizer and a second speech recognizer each coupled to a decision module. Each of the first and second speech recognizers outputs first and second recognized speech texts and first and second associated confidence scores, respectively, and the decision module selects either the first or the second speech text depending upon which of the first or second confidence score is higher. The decision module may also adjust the first and second confidence scores to generate first and second adjusted confidence scores, respectively, and select either the first or second speech text depending upon which of the first or second adjusted confidence scores is higher. The first and second confidence scores may be adjusted based upon the location of a speaker, the identity or accent of the speaker, the context of the speech, and the like.

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Mountain View, CA, United States of America

Benjamin K Reaves