Michel Comeau

Learn More
Growing needs for French closed-captioning of live TV broadcasts in Canada cannot be met only with stenography-based technology because of a chronic shortage of skilled stenographers. Using speech recognition for live closed-captioning, however, requires several specific problems to be solved, such as the need for low-latency real-time recognition, remote(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)
Live closed-captions for deaf and hard of hearing audiences are currently produced by stenographers, or by voice writers using speech recognition. Both techniques can produce captions with errors. We are currently developing a correction module that allows a user to intercept the real-time caption stream and correct it before it is broadcast. We report(More)
BACKGROUND Auditory gap detection is a measure of temporal acuity. The paradigm comes in two forms, distinguished by whether the sounds bounding the silent period are the same (within channel [WC]) or different (between channel [BC]). PURPOSE The purpose of this study was to test normal children and children referred for auditory processing disorder (APD)(More)
In this paper, we present the approach we used to produce a training database from a set of recorded newscasts for which we had inaccurate transcriptions. These transcribed segments correspond to a set of prepared anchor texts and journalist stories, not necessarily in chronological order of their actual presentation. No segmental time boundary information(More)
In film post-production, efficient methods for re-recording a dialogue or dubbing in a new language require a precisely time-aligned text, with individual letters time-coded to video frame resolution. Currently, this time alignment is performed by experts in a painstaking and slow process. To automate this process, we used CRIM's large-vocabulary HMM speech(More)
  • 1