International Business Machines Corporation

Nuance Communications, Inc.

Stephen Graham Copinger Lawrence

John Brian Pickering

Nicholas David Butler

Lawrence Leon Porter

Barry Neil Dow

Jeremy Peter James Hughes

Susan Malaika

A system and method for automatic recognition of foreign speakers by performing analysis of a speech sample to produce a signal representative thereof and attempting to match the representative signal to one of a plurality of predetermined sounds to produce recognition; and determining whether a gap exists in a table of predetermined sounds in a predetermined language and, if a gap exists, substituting for matching a sound from a position in the table near the gap. This automatic substitution of known foreign pronunciation characteristics improves and modifies the output from standard, monolingual automatic speech recognition. There is no requirement to implement either adaptation or to impose additional manual modification of the baseform pool on the application developer. In addition, the danger of increased ambiguity is removed by introducing an explicit accent and/or language checker which queries known differences across accents.

System and method for automatic speech recognition

A homophonic neologisms generator can include a dictionary table () having one or more entries including an orthography and an associated pronunciation including one or more phonemes; and a weightings table () having one or more entries specifying a cluster including one or more letters, a cluster pronunciation including one or more phonemes, and a weighting for the pronunciation of the cluster. A user interface can receive a word for which neologisms can be generated. A clustering mechanism can divide the pronunciation into a plurality of phonemes having one or more orthographic representations. Each orthographic representation can include one or more graphemes. Orthographic representations of the pronunciation can be ordered according to the associated weightings of the cluster graphemes in the weightings table and the dictionary can be searched to check that a generated well-formed orthography does not exist.

Generating homophonic neologisms

A voice processing system, method and computer program product therefor, allows telephone callers without computers to access World Wide Web pages from the Internet. Usual graphical-based Hyper-Text Mark-Up language (HTML) commands are interspersed with special HTML tags including the commands and data for forming a voice application, which, when run on the voice processing system, provides a voice browser for allowing telephone callers to access Web pages. The voice application tags are provided together with the remainder of the HTML document, thus facilitating editing of the combined data. This helps to keep the graphical browser and voice browser versions of the same data set synchronized.

Voice processing system, method and computer program product having common source for internet world wide web pages and voice applications

A phonetic spell checker comprises a dictionary table ( ) having a plurality of entries each including an orthography and an associated pronunciation, said pronunciation comprising one or more phonemes; and a weightings table ( ) having a plurality of entries, each including a cluster comprising one or more letters, a cluster pronunciation comprising one or more phonemes and a weighting for said pronunciation of said cluster. A user interface receives a word to be checked, a clustering mechanism divides the word into a plurality of clusters, each cluster having one or more pronunciations, each pronunciation comprising one or more phonemes. Pronunciations of the word are ordered according to the associated weightings of the cluster pronunciations in the weighting table; and the dictionary is searched for an orthography whose associated pronunciation matches at least the most heavily weighted pronunciation.

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Southampton, United Kingdom

Stephen Graham Copinger Lawrence