Data processing: speech signal processing – linguistics – language – Speech signal processing – Synthesis
Reexamination Certificate
2005-03-08
2005-03-08
Dorvil, Richemond (Department: 2654)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Synthesis
C704S270000
Reexamination Certificate
active
06865533
ABSTRACT:
A preferred embodiment of the method for converting text to speech using a computing device having a memory is disclosed. The inventive method comprises examining a text to be spoken to an audience for a specific communications purpose, followed by marking-up the text according to a phonetic markup systems such as the Lessac System pronunciation rules notations. A set of rules to control a speech to text generator based on speech principles, such as Lessac principles. Such rules are of the tide normally implemented on prior art text-to-speech engines, and control the operation of the software and the characteristics of the speech generated by a computer using the software. A computer is used to speak the marked-up text expressively. The step of using a computer to speak the marked-up text expressively is repeated using alternative pronunciations of the selected style of expression where each of the tonal, structural, and consonant energies, have a different balance in the speech, are also spoken to a trained speech practitioners that listened to the spoken speech generated by the computer. The spoken speech generated by the computer is then evaluated for consistency with style criteria and/or expressiveness. And audience is then assembled and the spoken speech generated by the computer is played back to the audience. Audience comprehension of spoken speech generated by the computer is evaluated and correlated to a particular implemented rule or rules, and those rules which resulted relatively high audience comprehension are selected.
REFERENCES:
patent: 4783803 (1988-11-01), Baker et al.
patent: 4866778 (1989-09-01), Baker
patent: 4903305 (1990-02-01), Gillick et al.
patent: 5010495 (1991-04-01), Willetts
patent: 5027406 (1991-06-01), Roberts et al.
patent: 5231670 (1993-07-01), Golhor et al.
patent: 5393236 (1995-02-01), Blackmer et al.
patent: 5487671 (1996-01-01), Shpiro et al.
patent: 5636325 (1997-06-01), Farrett
patent: 5679001 (1997-10-01), Russell et al.
patent: 5717828 (1998-02-01), Rothenberg
patent: 5728960 (1998-03-01), Sitrick
patent: 5745873 (1998-04-01), Braida et al.
patent: 5766015 (1998-06-01), Shpiro
patent: 5787231 (1998-07-01), Johnson et al.
patent: 5791904 (1998-08-01), Russell et al.
patent: 5796916 (1998-08-01), Meredith
patent: 5799279 (1998-08-01), Gould et al.
patent: 5850627 (1998-12-01), Gould et al.
patent: 5864805 (1999-01-01), Chen et al.
patent: 5870809 (1999-02-01), Nishi
patent: 5890123 (1999-03-01), Brown et al.
patent: 5903864 (1999-05-01), Gadbois et al.
patent: 5909666 (1999-06-01), Gould et al.
patent: 5920837 (1999-07-01), Gould et al.
patent: 5946654 (1999-08-01), Newman et al.
patent: 5960394 (1999-09-01), Gould et al.
patent: 6055498 (2000-04-01), Neumeyer et al.
patent: 6071123 (2000-06-01), Tallal et al.
patent: 6081780 (2000-06-01), Lumelsky
patent: 6144939 (2000-11-01), Pearson et al.
patent: 6188984 (2001-02-01), Manwaring et al.
patent: 6249763 (2001-06-01), Minematsu
patent: 6253182 (2001-06-01), Acero
patent: 6266637 (2001-07-01), Donovan et al.
patent: 6505158 (2003-01-01), Conkie
patent: 2323693 (1998-09-01), None
patent: WO 0182291 (2001-11-01), None
U.S. Appl. No. 09/553,810, Filed: Apr. 21, 2000.
U.S. Appl. No. 10/335,226, Filed: Dec. 31, 2002.
U.S. Appl. No. 10/061,078, Filed: Jan. 29, 2002.
Addison Edwin R.
Handal Anthony H.
Krebs Nancy
Marple Gary
Wilson H. Donald
Azad Abul K.
Dorvil Richemond
Handal Anthony H.
Kirkpatrick & Lockhart LLP
Lessac Technology Inc.
LandOfFree
Text to speech does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Text to speech, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Text to speech will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3384204