Transcription and indexation of broadcast data

Author

Gauvnin, J.-L. ; Lamel, Lori ; De Kercadio, Yannick ; Adda, Gilles

Author_Institution

Spoken Language Process. Group, LIMSI-CNRS, Orsay, France

Volume

3

fYear

2000

fDate

2000

Firstpage

1663

Abstract

We report on recent research on transcribing and indexing broadcast news data for information retrieval purposes. The system described combines an adapted version of the LIMSI 1998 Hub-4E transcription system for speech recognition with text-based IR methods. Experimental results are reported in terms of recognition word error rate and mean average precision for both the TREC SDR98 (100h) and SDR99 (600h) data sets. With query expansion using commercial transcripts, comparable mean average precisions are obtained on manual reference transcriptions and automatic transcriptions with a word error rate of 21.5% measured on a 10 hour data subset

Keywords

indexing; information retrieval; speech recognition; TREC SDR98 data set; TREC SDR99 data set; adapted LIMSI 1998 Hub-4E transcription system; automatic transcriptions; broadcast news data indexing; broadcast news data transcription; commercial transcripts; information retrieval; manual reference transcriptions; mean average precision; query expansion; recognition word error rate; speech recognition; text-based information retrieval methods; word error rate; Acoustic noise; Broadcasting; Context modeling; Error analysis; Indexing; Information retrieval; Maximum likelihood detection; Natural languages; Speech recognition; Streaming media;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.862069

Filename

862069