Khalid Choukri

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This paper gives the final results of the ESTER evaluation campaign which started in 2003 and ended in January 2005. The aim of this campaign was to evaluate automatic broadcast news rich transcription systems for the French language. The evaluation tasks were divided into three main categories: orthographic transcription, event detection and tracking (e.g.(More)
The aims of the SpeechDat-Car project are to develop a set of speech databases to support training and testing of multilingual speech recognition applications in the car environment. As a result, a total of ten (10) equivalent and similar resources will be created. The 10 languages are Danish, British English, Finnish, Flemish/Dutch, French, German, Greek,(More)
The analysis of lectures and meetings inside smart rooms has recently attracted much interest in the literature, being the focus of international projects and technology evaluations. A key enabler for progress in this area is the availability of Ambrish Tyagi has contributed to this work during two summer internships with the IBM T.J. Watson Research(More)
This paper gives an overview of the ESTER evaluation campaign. The aim of this campaign is to evaluate automatic broadcast news transcription systems for the French language. The evaluation tasks are divided into three main categories: orthographic transcription, event detection and tracking (e.g. speech vs. music, speaker tracking), and information(More)
The SpeechDat project aims to produce speech databases for all official languages of the European Union and some major dialectal variants and minority languages resulting in 28 speech databases. They will be recorded over fixed and mobile telephone networks. This will provide a realistic basis for training and assessment of both isolated and(More)
This paper describes the creation of five new telephony speech databases for Central and Eastern European languages within the SpeechDat(E) project. The 5 languages concerned are Czech, Polish, Slovak, Hungarian, and Russian. The databases follow SpeechDat-II specifications with some language specific adaptation. The present paper describes the differences(More)
LRs remain expensive to create and thus rare relative to demand across languages and technology types. The accidental re-creation of an LR that already exists is a nearly unforgiveable waste of scarce resources that is unfortunately not so easy to avoid. The number of catalogs the HLT researcher must search, with their different formats, make it possible to(More)
C-ORAL-ROM is a multilingual corpus of spontaneous speech of around 1.200.000 words representing the four main Romance languages: French, Italian, Portuguese and Spanish.. The resource will be delivered in standard textual format, aligned to the audio source in a multimedia edition. C-ORAL-ROM aims to ensure at the same time a sufficient representation of(More)
This paper presents and reports on the progress of the EVALDA/MEDIA project, focusing on the recording and annotating protocol of the reference dialogue corpus. The aim of this project is to design and test an evaluation methodology to compare and diagnose the context-dependent and independent understanding capability of spoken language dialogue systems.(More)