Latent Semantic Mapping

Jerome R. Bellegarda received the Diplome dIngenieur degree (summa cum laude) from the Ecole Nationale Superieure dElectricite et de Mecanique, Nancy, France, in 1984, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Rochester, Rochester, NY, in 1984 and 1987, respectively. From 1988 to 1994, he was a Research Staff Member at the IBM T.J. Watson Research Center, Yorktown Heights, NY, working on speech and handwriting recognition, particularly acoustic and chirographic modeling. In 1994, he joined Apple Inc., Cupertino, CA, where he is currently Apple Distinguished Scientist in Speech & Language Technologies. At Apple he has worked on many facets of human language processing, including speech recognition, speech synthesis, statistical language modeling, voice authentication, speaker adaptation, dialog interaction, metadata extraction, and semantic classification. In these areas he has written close to 150 journal and conference papers, and holds over 30 patents. He has also contributed chapters to several edited books, most recently Pattern Recognition in Speech and Language Processing (New York, NY: CRC Press, 2003), and Mathematical Foundations of Speech and Language Processing (New York, NY: Springer-Verlag, 2004). His research interests include statistical modeling algorithms, voice-driven man-machine communications, multiple input/output modalities, and multimedia knowledge management. Dr. Bellegarda has served on many international scientific committees, review panels, and editorial boards.

• Contents: I. Principles.- Introduction.- Latent Semantic Mapping.- LSM Feature Space.- Computational Effort.- Probabilistic Extensions.- II. Applications.- Junk E-mail Filtering.- Semantic Classification.- Language Modeling.- Pronunciation Modeling.- Speaker Verification.- TTS Unit Selection.- III. Perspectives.- Discussion.- Conclusion.- Bibliography.