VT2015/Speech Recognition: Difference between revisions
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The principle of speech recognition is to transcribe an oral message spoken in natural language, in the form of a text. This technique has various applications such as E-commerce and human-machine dialogue. It all started after the Second World War and since continues to be improved thanks to the empowerment of IT. |
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Revision as of 17:57, 8 October 2015
Présentation
- Enseignants : Georges-Pierre Bonneau, Didier Donsez ([1])
- Sujet : Speech recognition
- Auteur : Aissanou Sarah
- Date: 09 octobre 2015
Mots clés
Reconnaissance de la parole, traitement du son, traitement du signal, langage naturel
Résumé
La reconnaissance automatique de la parole consiste à transcrire un message oral prononcé en langage naturel, sous la forme d'un texte. Cette technique voit son utilité dans divers applications tels que le E-commerce et le dialogue Homme-machine (par exemple la dictée vocale). Elle a vu le monde après la seconde guerre mondiale et depuis ne cesse d'être perfectionnée notamment grâce à l'émancipation de l'informatique.
Abstract
The principle of speech recognition is to transcribe an oral message spoken in natural language, in the form of a text. This technique has various applications such as E-commerce and human-machine dialogue. It all started after the Second World War and since continues to be improved thanks to the empowerment of IT.