Proper Name Retrieval from Diachronic Documents for Automatic Speech Transcription using Lexical and Temporal Context

Irina Illina 1 Dominique Fohr 1 Georges Linarès 2
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 LIA - Laboratoire Informatique d'Avignon
Abstract : Proper names are usually key to understanding the information contained in a document. Our work focuses on increasing the vocabulary coverage of a speech transcription system by automatically retrieving new proper names from contemporary diachronic text documents. The idea is to use in-vocabulary proper names as an anchor to collect new linked proper names from the diachronic corpus. Our assumption is that time is an important feature for capturing name-to-context dependencies, that was confirmed by temporal mismatch experiments. We studied a method based on Mutual Information and proposed a new method based on cosine-similarity measure that dynamically augment the automatic speech recognition system vocabulary. Recognition results show a significant reduction of the word error rate using augmented vocabulary for broadcast news transcription.
Keywords : speech recognition out-of-vocabulary words proper names vocabulary augmentation
Document type :
Conference papers
Complete list of metadatas

Cited literature [16 references]  Display  Hide  Download
https://hal.inria.fr/hal-01092224
Contributor : Dominique Fohr <>
Submitted on : Monday, December 8, 2014 - 2:25:09 PM
Last modification on : Tuesday, January 14, 2020 - 10:38:05 AM
Long-term archiving on: Monday, March 9, 2015 - 11:45:51 AM

File

slam2014_final.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01092224, version 1

Collections

CNRS | INRIA | LORIA | UNIV-LORRAINE | UNIV-AVIGNON | LIA

Citation

Irina Illina, Dominique Fohr, Georges Linarès. Proper Name Retrieval from Diachronic Documents for Automatic Speech Transcription using Lexical and Temporal Context. Workshop on Speech, Language and Audio in Multimedia, Sep 2014, Penang, Malaysia. ⟨hal-01092224⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

441

Files downloads

164

 

 

Contact

archive-ouverte@inria.fr