Nuance Communications, Inc.

Nuance Communications Austria Gmbh

Gerhard Grobauer

Miklos Papai

Andreas Neubacher

Markus Vogel

Miklos Papi

A system and method for allowing user intervention in a speech recognition pipeline is presented. Embodiments may include receiving, at a computing device, a speech signal at a speech recognition engine, the speech signal being associated with an application. Embodiments may further include generating one or more suggested speech results at the speech recognition engine, the suggested speech results based upon, at least in part, the speech signal. Embodiments may also include displaying, at a graphical user interface associated with the computing device, the one or more suggested speech results prior to applying a final speech result. Embodiments may further include receiving a non voice-based selection of at least one of the one or more suggested speech results and applying the non voice-based selection to the application.

System and method for allowing user intervention in a speech recognition process

A method and a system for a speech recognition system, comprising an electronic speech-based document is associated with a document template and comprises one or more sections of text recognized or transcribed from sections of speech. The sections of speech are transcribed by the speech recognition system into corresponding sections of text of the electronic speech based document. The method includes the steps of dynamically creating sub contexts and associating the sub context to sections of text of the document template.

Method and system for dynamic creation of contexts

A method and a system of history tracking corrections in a speech based document are disclosed. The speech based document comprises one or more sections of text recognized or transcribed from sections of speech, wherein the sections of speech are dictated by a user and processed by a speech recognizer in a speech recognition system into corresponding sections of text of the speech based document. The method comprises associating of at least one speech attribute () to each section of text in the speech based document, said speech attribute () comprising information related to said section of text, respectively; presenting said speech based document on a presenting unit (); detecting an action being performed within any of said sections of text; and updating information of said speech attributes () related to the kind of action detected on one of said sections of text for updating said speech based document, whereby said updated information of said speech attributes () is used for history tracking corrections of said speech based document.

Method and system for speech based document history tracking

A method and a system for a speech recognition system (), comprising an electronic document, which is a speech based document comprising one or more sections of text recognized or transcribed from sections of speech, wherein said sections of speech are dictated by an author and processed by a speech recognizer () in the speech recognition system () into corresponding sections of text of said speech based document. The method comprises the steps of dynamically creating and adapting sub contexts by said speech recognizer and associating said sub context to said sections of text.

In a method and a system () for creating or updating entries in a speech recognition (SR) lexicon () of a speech recognition system, said entries mapping speech recognition (SR) phoneme sequences to words, said method comprising entering a respective word, and in the case that the word is a new word to be added to the SR lexicon, also entering at least one associated SR phoneme sequence through input means (), it is provided that the SR phoneme sequence associated with the respective word is converted into speech by phoneme to speech conversion means (), and the speech is played back by playback means (), to control the match of the phoneme sequence and the word.

Method and system for creating or updating entries in a speech recognition lexicon

A method and a system of history tracking corrections in a speech based document. The speech based document comprises one or more sections of text recognized or transcribed from sections of speech, wherein the sections of speech are dictated by a user and processed by a speech recognizer in a speech recognition system into corresponding sections of text of the speech based document. The method comprises associating at least one speech attribute to each section of text in the speech based document, said speech attribute comprising information related to said section of text, respectively; presenting said speech based document on a presenting unit; detecting an action being performed within any of said sections of text; and updating information of said speech attributes related to the kind of action detected on one of said sections of text for updating said speech based document.

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Vienna, Austria

Gerhard Grobauer