Origine du langage

Résumé

L’origine du langage humain a toujours suscité l’intérêt des penseurs. De nombreux mythes tendent à donner aux langues une origine surnaturelle. La Bible explique ainsi la multiplicité des langues par le mythe de la Tour de Babel, selon lequel la langue unique des origines aurait été divisée en une multitude de langues pour apporter la discorde entre les hommes et les empêcher de se concerter en vue d'une action commune. Pour éviter les querelles stériles et les thèses farfelues, la Société de linguistique de Paris avait en 1865 informé ses membres dans ses règlements qu'elle ne recevrait plus . Aujourd'hui, le sujet est étudié scientifiquement dans le cadre de plusieurs disciplines, notamment en paléontologie, en psychologie, en biologie moléculaire et en linguistique historique. L’histoire de l’évolution du langage humain est longue et étroitement liée au cerveau, mais ce qui fait que le cerveau humain soit le seul à être adapté au langage n’est pas clair. Les régions cérébrales i

Source officielle

https://fr.wikipedia.org/wiki/Origine_du_langage

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Application of Out-Of-Language Detection To Spoken-Term Detection

Petr Motlicek, Fabio Valente

This paper investigates the detection of English spoken terms in a conversational multi-language scenario. The speech is processed using a large vocabulary continuous speech recognition system. The recognition output is represented in the form of word recognition lattices which are then used to search required terms. Due to the potential multi-lingual speech segments at the input, the spoken term detection system is combined with a module performing out-of language detection to adjust its confidence scores. First, experimental results of spoken term detection are provided on the conversational telephone speech database distributed by NIST in 2006. Then, the system is evaluated on a multi-lingual database with and without employment of the out-of-language detection module, where we are only interested in detecting English terms (stored in the index database). Several strategies to combine these two systems in an efficient way are proposed and evaluated. Around 7% relative improvement over a stand-alone STD is achieved

2010

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Application of Out-Of-Language Detection To Spoken-Term Detection

Petr Motlicek, Fabio Valente

This paper investigates the detection of English spoken terms in a conversational multi-language scenario. The speech is processed using a large vocabulary continuous speech recognition system. The recognition output is represented in the form of word recognition lattices which are then used to search required terms. Due to the potential multi-lingual speech segments at the input, the spoken term detection system is combined with a module performing out-of-language detection to adjust its confidence scores. First, experimental results of spoken term detection are provided on the conversational telephone speech database distributed by NIST in 2006. Then, the system is evaluated on a multi-lingual database with and without employment of the out-of-language detection module, where we are only interested in detecting English terms (stored in the index database). Several strategies to combine these two systems in an efficient way are proposed and evaluated. Around 7% relative improvement over a stand-alone STD is achieved.

Idiap2010

Chargement