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Punctuation Annotation using Statistical Prosody Models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the ITRW on Prosody in Speech Recognition and Understanding
Subtitle of host publicationProsody 2001
PublisherISCA
Number of pages6
Publication statusPublished - 2001
EventITRW on Prosody in Speech Recognition and Understanding (Prosody 2001) - Molly Pitcher Inn, Red Bank, NJ, United States
Duration: 22 Oct 200124 Oct 2001

Workshop

WorkshopITRW on Prosody in Speech Recognition and Understanding (Prosody 2001)
CountryUnited States
CityRed Bank, NJ
Period22/10/0124/10/01

Abstract

This paper is about the development of statistical models of prosodic features to generate linguistic meta-data for spoken language. In particular, we are concerned with automatically punctuating the output of a broadcast news speech recogniser. We present a statistical finite state model that combines prosodic, linguistic and punctuation class features. Experimental results are presented using the Hub-4 Broadcast News corpus, and in the light of our results we discuss the issue of a suitable method of evaluating the present task.

Event

ITRW on Prosody in Speech Recognition and Understanding (Prosody 2001)

22/10/0124/10/01

Red Bank, NJ, United States

Event: Workshop

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