Impact of dynamic model adaptation beyond speech recognition

Author

Batista, Fernando ; Amaral, Rui ; Trancoso, Isabel ; Mamede, Nuno

Author_Institution

Spoken Language Syst. Lab., INESC ID Lisboa, Lisbon

fYear

2008

fDate

15-19 Dec. 2008

Firstpage

277

Lastpage

280

Abstract

The application of speech recognition to live subtitling of Broadcast News has motivated the adaptation of the lexical and language models of the recognizer on a daily basis with text material retrieved from online newspapers. This paper studies the impact of this adaptation on two of the blocks following the speech recognition module: capitalization and topic indexation. We describe and evaluate different adaptation approaches that try to explore the language dynamics.

Keywords

indexing; information retrieval; speech recognition; text analysis; Broadcast News; capitalization; dynamic model adaptation; language dynamics; language model; lexical model; online newspapers; speech recognition module; text material retrieval; topic indexing; Adaptation model; Automatic speech recognition; Broadcasting; Error analysis; Natural languages; Speech processing; Speech recognition; Text recognition; Training data; Vocabulary; Language Dynamics; Natural language interfaces; Speech intelligibility; Speech processing; Unsupervised learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Spoken Language Technology Workshop, 2008. SLT 2008. IEEE

Conference_Location

Goa

Print_ISBN

978-1-4244-3471-8

Electronic_ISBN

978-1-4244-3472-5

Type

conf

DOI

10.1109/SLT.2008.4777894

Filename

4777894