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1 CMU - Carnegie Mellon University Pittsburgh 2 IBM - IBM Research Division 3 Telefonica I+D - Telefonica Investigación y Desarrollo 4 NWU - North-West University Vaal Triangle Campus, Vanderbijlpark, South Africa 5 TEXMEX - Multimedia content-based indexing IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique 6 IIIT-H - International Institute of Information Technology Hyperabad 7 METISS - Speech and sound data modeling and processing IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique 8 Speech@FIT 9 HCTLab - Human Computer Technology Laboratory

Abstract : In this paper, we describe the -Spoken Web Search- Task, which was held as part of the 2011 MediaEval benchmark campaign. The purpose of this task was to perform audio search with audio input in four languages, with very few resources being available in each language. The data was taken from -spoken web- material collected over mobile phone connections by IBM India. We present results from several independent systems, developed by five teams and using different approaches, compare them, and provide analysis and directions for future research.

Keywords : low-resource speech recognition evaluation spoken web audio search spoken term detection





Autor: Florian Metze - Nitendra Rajput - Xavier Anguera - Marelie Davel - Guillaume Gravier - Charl Van Heerden - Gautam Mantena - Arman

Fuente: https://hal.archives-ouvertes.fr/



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