Abstract: In a text-to-speech system, a method of converting text-to-speech can include receiving a text input and comparing the received text input to at least one entry in a text-to-speech cache memory. Each entry in the text-to-speech cache memory can specify a corresponding spoken output. If the text input matches one of the entries in the text-to-speech cache memory, the cached speech output specified by the matching entry can be provided.

Abstract: In a text-to-speech system, a method of converting text-to-speech can include receiving a text input and comparing the received text input to at least one entry in a text-to-speech cache memory. Each entry in the text-to-speech cache memory can specify a corresponding spoken output. If the text input matches one of the entries in the text-to-speech cache memory, the cached speech output specified by the matching entry can be provided.

Abstract: A method and system for correcting misrecognized phrases in a computer speech recognition system prevents prior misrecognized text phrases from reoccurring during re-dictation. In particular, the present invention provides a method for correcting a user identified misrecognized text at a location in a dictated electronic document. The method includes: receiving dictation from a user; processing the user input to identify a plurality of alternate text selections; excluding the misrecognized text from the plurality of alternate text selections; and replacing it with a replacement text. These steps are repeated each time the user selects and re-dictates text at the location of the misrecognized text.

Abstract: A method and a system within a computer speech recognition system to automatically correct portions of text. The invention receives text derived from a first user input for inclusion in a body of text. Concurrently upon receipt of the first user input, and based upon the first user input, the system identifies a list of alternate text selections potentially intended by the user. Next, the system stores each of the alternate text selections in a memory location associated with the text. In response to a second user input, and without displaying the list of alternate text selections to the user, the system automatically retrieves a first one of the alternate text selections from the memory location and inserts the first one of the alternate text selections in place of the text in the body of text.

Abstract: A method for automatically analyzing a document in a speech recognition system having a vocabulary and language model can include the steps of: determining whether the document has undergone previous analysis; undoing the previous analysis; and, analyzing the document. More specifically, the determining step comprises the steps of: comparing trigrams in the document with trigrams in the language model; and, setting a reference point containing document data for undoing a previous analysis in the undoing step if the compared language model contains all the document trigrams. Moreover, the undoing step comprises the step of removing from the language model each trigram contained in the document data in the reference point.