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:
Aug. 12, 2008
Filed:
Apr. 04, 2003
Tirso M. Alonso, New Providence, NJ (US);
Ilana Bromberg, Murray Hill, NJ (US);
Dilek Z. Hakkani-tur, Morris Plains, NJ (US);
Barbara B. Hollister, Mountainside, NJ (US);
Mazin G. Rahim, Warren, NJ (US);
Giuseppe Riccardi, Hoboken, NJ (US);
Lawrence Lyon Rose, Basking Ridge, NJ (US);
Daniel Leon Stern, Princeton, NJ (US);
Gokhan Tur, Morris Plains, NJ (US);
James M. Wilson, Berkeley Heights, NJ (US);
Tirso M. Alonso, New Providence, NJ (US);
Ilana Bromberg, Murray Hill, NJ (US);
Dilek Z. Hakkani-Tur, Morris Plains, NJ (US);
Barbara B. Hollister, Mountainside, NJ (US);
Mazin G. Rahim, Warren, NJ (US);
Giuseppe Riccardi, Hoboken, NJ (US);
Lawrence Lyon Rose, Basking Ridge, NJ (US);
Daniel Leon Stern, Princeton, NJ (US);
Gokhan Tur, Morris Plains, NJ (US);
James M. Wilson, Berkeley Heights, NJ (US);
AT&T Corp, New York, NY (US);
Abstract
Systems and methods for annotating speech data. The present invention reduces the time required to annotate speech data by selecting utterances for annotation that will be of greatest benefit. A selection module uses speech models, including speech recognition models and spoken language understanding models, to identify utterances that should be annotated based on criteria such as confidence scores generated by the models. These utterances are placed in an annotation list along with a type of annotation to be performed for the utterances and an order in which the annotation should proceed. The utterances in the annotation list can be annotated for speech recognition purposes, spoken language understanding purposes, labeling purposes, etc. The selection module can also select utterances for annotation based on previously annotated speech data and deficiencies in the various models.