Julie Brousseau

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This paper describes a system designed for use by professional translators that enables them to dictate their translation. Because the speech recognizer has access to the source text as well as the spoken translation, a statistical translation model can guide recognition. This can be done in many diierent ways|which is best? We discuss the experiments that(More)
Professional translators often dictate their translations orally and have them typed afterwards. The TransTalk project aims at automating the second part of this process. Its originality as a dictation system lies in the fact that both the acoustic signal produced by the translator and the source text under translation are made available to the system.(More)
word word P(w) (decision tree) model Although finite-state transducers have been widely used in linguistics, their application to speech recognition has begun only recently [I]. We describe our implementation of French large vocabulary recognition based on transducers, and how we take advantage of this approach to integrate automatic pronunciation rules and(More)
This paper describes the system currently under development at CRIM whose aim is to provide real-time closed captioning of live TV broadcast news in Canadian French. This project is done in collaboration with TVA Network, a national TV broadcaster and the RQST (a Québec association which promotes the use of subtitling). The automated closed-captioning(More)
This paper describes decision tree methodology and shows how it has been adapted to three diierent problems in speech recognition and understanding at CRIM and at FORWISS. The three problems are: 1. Development of context-dependent phone models (work carried out by CRIM researchers and partly inspired by FORWISS work on polyphones). Here, decision trees(More)