Automatic insertion of non-verbalized punctuation

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

Reexamination Certificate

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C704S006000, C704S009000

Reexamination Certificate

active

07580838

ABSTRACT:
Recognizing punctuation in computer-implemented speech recognition includes performing speech recognition on an utterance to produce a recognition result for the utterance. A non-verbalized punctuation mark is identified in a recognition result and the recognition result is formatted based on the identification.

REFERENCES:
patent: 5864805 (1999-01-01), Chen et al.
patent: 5920877 (1999-07-01), Kolster
patent: 6067514 (2000-05-01), Chen
patent: 6195637 (2001-02-01), Ballard et al.
patent: 6356865 (2002-03-01), Franz et al.
patent: 6718303 (2004-04-01), Tang et al.
patent: 6778958 (2004-08-01), Nishimura et al.
patent: 7089184 (2006-08-01), Rorex
patent: 7313526 (2007-12-01), Roth et al.
“Automatic Capitalization and Spacing of Sentences,” IBM Technical Disclosure Bulletin, IBM Corp., New York, vol. 28, No. 9, Feb. 1986, pp. 4160-4161, XP-001028463.
Ji-Hwan Kim et al., “The use of Prosody in a Combined System for Punctuation Generation and Speech Recognition,” 7thEuropean Conference on Speech Communication and Technology, Eurospeech 2001, Aalborg, Denmark, Sep. 3-7, 2001, pp. 2757-2760, XP-002271470.
C. Julian Chen, “Speech Recognition with Automatic Punctuation,” in Proc. Eurospeech, vol. 1, 6thEuropean Conference on Speech Communication and Technology, Sep. 5-9, 1999, Budapest, Hungary, pp. 447-450.
Andreas Stokcke, Elizabeth Shriberg, Rebecca Bate, Mari Ostendorf, Dilek Hakkani, Madelaine Plauche, Gokhan Tur and Yu Lu, “Automatic Detection of Sentence Boundaries and Disfluencies Based on Recognized Words,” in proceedings of the International Conference on Spoken Language Processing, vol. 5, Sydney, 1998, pp. 2247-2250.
Elizabeth Shriberg, Andreas Stolcke, and Don Baron, Can Prosody Aid the Automatic Processing of Multi-Party Meetings? Evidence from Predicting Punctuation, Disfluencies, and Overlapping Speech, in Proceedings ISCA Tutorial and Research Workshop on Prosody in Speech Recognition and Understanding, Red Bank, NJ, 2001.
Yoshihiko Gotoh and Steve Renals, “Sentence Boundary Detection in Broadcast Speech Transcripts,” in Proceeding of the ISCA Workshop: Automatic Speech Recognition: Challenges for the New Millennium (ASR-2000), Paris, Sep. 2000 (8 pages).
Ji-Hwan Kim and P.C. Woodland, “The Use of Prosody in a Combined System for Punctuation Generation and Speech Recognition,” in Proc. Eurospeech '01, Aalborg, Denmark, Sep. 2001.
Heidi Christensen Yoshi Gotoh, and Steve Renals, “Punctuation Annotation using Statistical Prosody Models,” in Proc. ISCA Workshop on Prosody in Speech Recognition and Understanding, to appear (2001).
Elizabeth Shriberg and Andreas Stolcke, “Prosody Modeling for Automatic Speech Understanding: An Overview of Recent Research at SRI”, 2001.
Elizabeth Schriberg, Andreas Stolcke, Dilek Hakkani-Tur, and Gokhan Tur, “Prosody-Based Automatic Segmentation of Speech into Sentences and Topics,” Speech Communication 32(1-2), Sep. 2000.
Jing Huang and Geoffrey Zweig, “Maximum Entropy Model for Punctuation Annotation From Speech,” ICSLP 2002 proceedings.

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