A system for automatic broadcast news summarisation, geolocation and translation

被引：0

作者：

Bell, Peter ^{[1
]}

Lai, Catherine ^{[1
]}

Llewellyn, Clare ^{[1
]}

Birch, Alexandra ^{[1
]}

Sinclair, Mark ^{[1
]}

机构：

[1] Univ Edinburgh, Ctr Speech Technol Res, Edinburgh EH8 9AB, Midlothian, Scotland

来源：

16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5 | 2015年

关键词：

multimedia archives; ASR; summarisation; named entity detection; geolocation; machine translation;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

An increasing amount of news content is produced in audio video form every day. To effectively analyse and monitoring this multilingual data stream, we require methods to extract and present audio content in accessible ways. In this paper, we describe an end-to-end system for processing and browsing audio news data. This fully automated system brings together our recent research on audio scene analysis, speech recognition, summarisation, named entity detection, geolocation, and machine translation. The graphical interface allows users to visualise the distribution of news content by entity names and story location. Browsing of news events is facilitated through extractive summaries and the ability to view transcripts in multiple languages.

引用

页码：730 / 731

页数：2