Extractive Summarization of Voicemail using Lexical and Prosodic Feature Subset Selection

Konstantinos Koumpis, Steve Renals, Mahesan Niranjan

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

Abstract / Description of output

This paper presents a novel data-driven approach to summarizing spoken audio transcripts utilizing lexical and prosodic features. The former are obtained from a speech recognizer and the latter are extracted automatically from speech waveforms. We employ a feature subset selection algorithm, based on ROC curves, which examines different combinations of features at different target operating conditions. The approach is evaluated on the IBM Voicemail corpus, demonstrating that it is possible and desirable to avoid complete commitment to a single best classifier or feature set.
Original languageEnglish
Title of host publication7th European Conference on Speech Communication and Technology
Subtitle of host publicationEurospeech 2001 Scandinavia
EditorsPaul Dalsgaard, Børge Lindberg, Henrik Benner, Zheng-Hua Tan
Place of PublicationAalborg, Denmark
Publisher Kommunik Grafiske Løsninger
Pages2377-2380
ISBN (Print)87-90834-10-0
Publication statusPublished - 2001
Event7th European Conference on Speech Communication and Technology (Eurospeech 2001 Scandinavia) - Aalborg Congress and Culture Centre, Aalborg, Denmark
Duration: 3 Sept 20017 Sept 2001

Conference

Conference7th European Conference on Speech Communication and Technology (Eurospeech 2001 Scandinavia)
Country/TerritoryDenmark
CityAalborg
Period3/09/017/09/01

Fingerprint

Dive into the research topics of 'Extractive Summarization of Voicemail using Lexical and Prosodic Feature Subset Selection'. Together they form a unique fingerprint.

Cite this