Abstract: 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.

Abstract: A method is described that corrects incorrect text associated with recognition errors in computer-implemented speech recognition. The method includes the step of performing speech recognition on an utterance to produce a recognition result for the utterance. The command includes a word and a phrase. The method includes determining if a word closely corresponds to a portion of the phrase. A speech recognition result is produced if the word closely corresponds to a portion of the phrase.

Abstract: The invention relates to use of speech recognition on a computer network where users roam from one network location to another. A local workstation on the network includes a speech recognition application having a local user profile associated with an application user. The local user profile includes at least one synchronization file containing user-specific speech recognition data. A network file location remote from the local workstation contains a user master profile corresponding to the local user profile, including a copy of the local synchronization file.

Abstract: 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.

Abstract: Recognition of a text string is improved by analyzing the text string with respect to information about expected patterns of the parts of speech of words in the text string and by modifying the text string based on the analysis. Analyzing may include comparing the combinations of parts of speech to parts of speech associated with the words in the text string and, if at least one of the combinations of parts of speech matches parts of speech associated with the words, indicating that a compound word should be formed from the words associated with the matched parts of speech.

Abstract: A method of adding a word to a speech recognition vocabulary includes creating a collection of possible phonetic pronunciations from a spelling of the word and using speech recognition to find a pronunciation from the collection that best matches an utterance of the word. The collection is created by comparing the spelling to a rules list of letter strings with associated phonemes. The list is searched for a letter string from the spelling of length greater than one letter. The collection is limited to phonetic pronunciations containing phonemes associated with the letter string of length greater than one. In another method, a net of possible phonetic pronunciations of the word is created from the spelling and speech recognition is used to find the pronunciation from the net that best matches the utterance of the word. The invention also features methods of assigning a pre-filtering class to a word.

Abstract: Incorrect text associated with recognition errors in computer-implemented speech recognition is corrected by performing speech recognition on an utterance to produce a recognition result for the utterance. When a correction command is identified in the recognition result for the utterance, corrected text is produced from a portion of the recognition result for the utterance.

Abstract: A method of speech recognition includes recognizing a first utterance, recognizing a second utterance having information that is related to the first utterance, and determining the most probable first and second utterances based on stored information about valid relationships between possible first and second utterances. The most probable second utterance contains information that is semantically related to the most probable first utterance. The recognized first utterance may be recognized continuously and the recognized second utterance may be recognized discretely. The determination of the most probable utterances may include creating a list of possible utterances that could be confused with a recognized utterance and rerecognition of a list of possible utterances against an utterance.