PittsburghV1, France, Analysis, bibRecord, 000322

Language independent search in MediaEval's Spoken Web Search task : Spoken Content Retrieval

Identifieur interne : 000322 ( France/Analysis ); précédent : 000321; suivant : 000323

Language independent search in MediaEval's Spoken Web Search task : Spoken Content Retrieval

Auteurs : Florian Metze [États-Unis] ; Xavier Anguera [Espagne] ; Etienne Barnard [Afrique du Sud] ; Marelie Davel [Afrique du Sud] ; Guillaume Gravier [France]

Source :

Computer speech & language : (Print) [ 0885-2308 ] ; 2014.

RBID : Francis:15-0046601

Descripteurs français

Pascal (Inist)
- Traitement automatique de la parole, Evaluation, Linguistique informatique, Recherche d'information, Reconnaissance de la parole.

English descriptors

KwdEn :
- Assessment, Computational linguistics, Information retrieval, Speech processing, Speech recognition.

Abstract

In this paper, we describe several approaches to language-independent spoken term detection and compare their performance on a common task, namely "Spoken Web Search". The goal of this part of the MediaEval initiative is to perform low-resource language-independent audio search using audio as input. The data was taken from "spoken web" material collected over mobile phone connections by IBM India as well as from the LWAZI corpus of African languages. As part of the 2011 and 2012 MediaEval benchmark campaigns, a number of diverse systems were implemented by independent teams, and submitted to the "Spoken Web Search" task. This paper presents the 2011 and 2012 results, and compares the relative merits and weaknesses of approaches developed by participants, providing analysis and directions for future research, in order to improve voice access to spoken information in low resource settings.

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000314
to stream PascalFrancis, to step Curation: 004588
to stream PascalFrancis, to step Checkpoint: 000669
to stream Main, to step Merge: 005592
to stream Main, to step Curation: 005310
to stream Main, to step Exploration: 005310
to stream France, to step Extraction: 000322

Links to Exploration step

Francis:15-0046601

Le document en format XML

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<front><div type="abstract" xml:lang="en">In this paper, we describe several approaches to language-independent spoken term detection and compare their performance on a common task, namely "Spoken Web Search". The goal of this part of the MediaEval initiative is to perform low-resource language-independent audio search using audio as input. The data was taken from "spoken web" material collected over mobile phone connections by IBM India as well as from the LWAZI corpus of African languages. As part of the 2011 and 2012 MediaEval benchmark campaigns, a number of diverse systems were implemented by independent teams, and submitted to the "Spoken Web Search" task. This paper presents the 2011 and 2012 results, and compares the relative merits and weaknesses of approaches developed by participants, providing analysis and directions for future research, in order to improve voice access to spoken information in low resource settings.</div>
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Language independent search in MediaEval's Spoken Web Search task : Spoken Content Retrieval

Language independent search in MediaEval's Spoken Web Search task : Spoken Content Retrieval

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri