The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 15, 2005
Filed:
Apr. 30, 2001
Gregory P. Kochanski, Dunellen, NJ (US);
Chi-lin Shih, Berkeley Heights, NJ (US);
Gregory P. Kochanski, Dunellen, NJ (US);
Chi-Lin Shih, Berkeley Heights, NJ (US);
Lucent Technologies Inc., Murray Hill, NJ (US);
Abstract
Techniques are described for employing a set of tags to model phenomena which are smooth and subject to constraints. Tags may be used to model, for example, muscular movement producing speech. In one advantageous application, a set of tags defining prosodic characteristics is developed, and selected tags are placed in appropriate locations of a body of text. Each tag defines a constraint on the prosodic characteristics of speech produced by processing the text. Processing of the body of speech and the tags produces a set of equations which are solved to produce a curve defining prosodic characteristics over the scope of a phrase, and a further set of equations which are solved to produce a curve defining prosodic characteristics of individual words within a phrase. The data defined by the curves is used with the text to produce speech having the prosodic characteristics defined by the tags. A set of tags may be produced by reading of a training text by a target speaker to produce a training corpus reflecting the prosodic characteristics of the target speaker, and then analyzing the training corpus to generate tags modeling the prosodic characteristics of the training corpus.