Company Filing History:
Years Active: 1999
Title: Innovations of Jean-Michel Le Roux
Introduction
Jean-Michel Le Roux is a notable inventor based in Elmsford, NY (US). He has made significant contributions to the field of speech recognition technology. With a total of 2 patents, his work focuses on methods for modeling and recognizing speech, particularly in the context of word liaisons.
Latest Patents
Jean-Michel Le Roux's latest patents include a "Method for modeling and recognizing speech including word liaisons" and "Recognizing speech having word liaisons by adding a phoneme to reference." The first patent describes a system and method for recognizing spoken liaisoned words. This method identifies each word in the vocabulary as a liaison generator and/or liaison receptor. If a word is a liaison receptor and is preceded by a liaison generator, the most probable recognition result will be the liaison generated by the preceding word plus the word itself. The second patent outlines a method and system that performs a fast match on a word in a string of speech, generating a fast match list of words that most likely match the current word to be recognized. This process includes a detailed match on the words in the fast match list, ultimately outputting the word with the highest probability of matching the word to be recognized.
Career Highlights
Jean-Michel Le Roux is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to develop innovative solutions in the realm of speech recognition technology.
Collaborations
Throughout his career, Jean-Michel has collaborated with notable colleagues such as Lalit R Bahl and Steven V De Gennaro. These collaborations have contributed to the advancement of his research and innovations.
Conclusion
Jean-Michel Le Roux's contributions to speech recognition technology through his patents and collaborations highlight his role as a significant inventor in this field. His work continues to influence advancements in how speech is modeled and recognized.