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This paper describes the three systems developed by the LIUM for the IWSLT 2011 evaluation campaign. We participated in three of the proposed tasks, namely the Automatic Speech Recognition task (ASR), the ASR system combination task (ASR_SC) and the Spoken Language Translation task (SLT), since these tasks are all related to speech translation. We present(More)
This paper presents the system used by the LIUM to participate in ESTER, the french broadcast news evaluation campaign. This system is based on the CMU Sphinx 3.3 (fast) decoder. Some tools are presented which have been added on different steps of the Sphinx recognition process: segmentation, acoustic model adaptation, word-lattice rescoring. Several(More)
This paper presents the corpus developed by the LIUM for Automatic Speech Recognition (ASR), based on the TED Talks. This corpus was built during the IWSLT 2011 Evaluation Campaign, and is composed of 118 hours of speech with its accompanying automatically aligned transcripts. We describe the content of the corpus, how the data was collected and processed,(More)
This paper presents an automatic grapheme to phoneme conversion system that uses statistical machine translation techniques provided by the Moses Toolkit. The generated word pronunciations are employed in the dictionary of an automatic speech recognition system and evaluated using the ESTER 2 French broadcast news corpus. Grapheme to phoneme conversion(More)
This paper deals with the integration of visual data in automatic speech recognition systems. We rst describe the framework of our research; the development of advanced multiuser multi-modal interfaces. Then we present audiovisual speech recognition problems in general, and the ones we are interested in, in particular. After a very brief discussion of(More)