Some recent research work at LIUM based on the use of CMU Sphinx

This paper presents an overview of the recent research work developed at LIUM using the CMU Sphinx tools. First, it describes the LIUM ASR system which reached very competitive results on French evaluation campaigns. Then, different research works using the LIUM ASR system are described: detection and characterization of spontaneous speech in large audio database, language modeling to detect and correct errors in automatic transcripts or system combination in the framework of statistical machine translation. Last, we discuss about the benefit of the availability of CMU Sphinx under a permissive open source license and, as we would like share with the CMU Sphinx community some parts of our work, we discuss about the difficulties we encountered to participate in the development of CMU Sphinx.

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