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The Automatic News Transcription System: ANTS some Real Time experiments

Irina Illina 1 Dominique Fohr 1 Odile Mella 1 Christophe Cerisara 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents the recent development of ANTS, the Automatic News Transcription System of LORIA. This system was designed in the framework of ESTER, the French broadcast radio news transcription task evaluation. After describing its different components and some segmentation and recognition results on the ESTER database, we present a number of experiments focusing on the real-time version of ANTS. We evaluate the system with different number of Gaussians, sizes of vocabulary and decoder settings. The non real time version of ANTS yields an overall error rate of 36 % that can be compared to 44.5 % for the real time version.
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Submitted on : Tuesday, September 26, 2006 - 10:13:40 AM
Last modification on : Friday, February 26, 2021 - 3:28:05 PM


  • HAL Id : inria-00100043, version 1



Irina Illina, Dominique Fohr, Odile Mella, Christophe Cerisara. The Automatic News Transcription System: ANTS some Real Time experiments. 8th International Conference on Spoken Language Processing - ICSLP' 2004, 2004, Jeju, Corée du Sud, 4 p. ⟨inria-00100043⟩



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