Nuance Communications, Inc.

Scansoft, Inc.

Olivier Divay

Maximilian Bisani

Allan Gold

Paul Joseph Vozila

Venkatesh Nagesha

Jeffrey S Kobal

Stijn Van Even

Joev Dubach

Alfred Dielmann

Jonathan Watson

Methods and apparatus for speech recognition on user dictated words to generate a dictation and using a discriminative statistical model derived from a deterministic formatting grammar module and user formatted documents to extract features and estimate scores from the formatting graph. The processed dictation can be output as formatted text based on a formatting selection to provide an integrated stochastic and deterministic formatting of the dictation.

Methods and apparatus for joint stochastic and deterministic dictation formatting

A method is described for user correction of speech recognition results. A speech recognition result for a given unknown speech input is displayed to a user. A user selection is received of a portion of the recognition result needing to be corrected. For each of multiple different recognition data sources, a ranked list of alternate recognition choices is determined which correspond to the selected portion. The alternate recognition choices are concatenated or interleaved together and duplicate choices removed to form a single ranked output list of alternate recognition choices, which is displayed to the user. The method may be adaptive over time to derive preferences that can then be leveraged in the ordering of one choice list or across choice lists.

Correction menu enrichment with alternate choices and generation of choice lists in multi-pass recognition systems

A computer implemented method and system of formatting text output from a speech recognition system is provided. The method includes determining if a user correction to a text output from a speech recognition system can be accomplished by changing a formatting setting associated with the speech recognition system. The formatting setting is changed based on an inferential indication that the change to the formatting setting is acceptable to the user and/or an explicit confirmation from the user that the change to the formatting setting is acceptable.

Text formatter with intuitive customization

An input sequence of unstructured speech recognition text is transformed into output structured document text. A probabilistic word substitution model is provided which establishes association probabilities indicative of target structured document text correlating with source unstructured speech recognition text. The input sequence of unstructured speech recognition text is looked up in the word substitution model to determine likelihoods of the represented structured document text corresponding to the text in the input sequence. Then, a most likely sequence of structured document text is generated as an output.

Automatic editing using probabilistic word substitution models

Recognizing punctuation in computer-implemented speech recognition includes performing speech recognition on an utterance to produce a recognition result for the utterance. A non-verbalized punctuation mark is identified in a recognition result and the recognition result is formatted based on the identification.

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Vieux-Vy sur Couesnon, France

Olivier Divay