The use of semantic and acoustic features for open-domain TED talk summarization

Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper, we address the problem of automatic speech summarization on open-domain TED talks. The large vocabulary and diversity of topics from speaker-to-speaker presents significant difficulties. The challenges increase not only how to handle disfluencies and fillers, but also how to extract topic-related meaningful messages within the free talks. Here, we propose to incorporate semantic and acoustic features within the speech summarization technique. In addition, we also propose a new evaluation method for speech summarization by checking semantic similarity between system and human summarization. Experiments results reveal that the proposed methods are effective in spontaneous speech summarization.

Original languageEnglish
Title of host publication2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9786163618238
DOIs
Publication statusPublished - 12 Feb 2014
Event2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
Duration: 9 Dec 201412 Dec 2014

Publication series

Name2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Conference

Conference2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Country/TerritoryThailand
CityChiang Mai
Period9/12/1412/12/14

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