Internet Documents: A Rich Source for Spoken Language Modeling - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 1999

Internet Documents: A Rich Source for Spoken Language Modeling

Abstract

Spoken language speech recognition systems need better understanding of natural spoken language phenomenon than their dictation counterparts. Current language models are mostly based on written text and/or very tedious Wizard of Oz or real dialog experiments1. In this paper we propose to use Internet documents as a very rich source of information for spoken language modeling. Through detailed experiments we show how using Internet we could automatically prepare language models adapted to a given task. For a given recognition system using this approach the word accuracy is up to 15% better than a system using language models trained on written text.
Fichier principal
Vignette du fichier
Vaufreydaz99c.pdf (80.69 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00326147 , version 1 (01-10-2008)

Identifiers

  • HAL Id : inria-00326147 , version 1

Cite

Dominique Vaufreydaz, Mohamad Akbar, José Rouillard. Internet Documents: A Rich Source for Spoken Language Modeling. IEEE Workshop ASRU'99 (Automatic Speech Recognition and Understanding), IEEE, Dec 1999, Keystone - Colorado, United States. pp. 277-281. ⟨inria-00326147⟩
144 View
174 Download

Share

Gmail Facebook X LinkedIn More