@inproceedings{
 title = {Phonetic Study for Automatic Recognition of Arabic},
 type = {inproceedings},
 year = {1989},
 keywords = {Speech Recognition},
 pages = {268-271},
 websites = {http://djoudi.online.fr/publications/files/1989_09_27_Eurospeech_Paris.pdf},
 id = {c15ad715-5ecd-3dc4-a373-58914a09e5b3},
 created = {2018-04-03T21:38:37.762Z},
 file_attached = {false},
 profile_id = {3f3cebd9-2c9e-33e2-9759-3b3c3deedc23},
 last_modified = {2020-05-30T20:55:32.725Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {djoudi_phonetic_1989},
 source_type = {inproceedings},
 private_publication = {false},
 abstract = {We propose in this paper a phonetic study of standard Arabic based essentially on the spectrographic visions of 50 sentences of the DJOUMA corpus we have constituted. This study allowed us to determine the pertinent parameters of continuous speech recognition. For the recognition part, we present the algorithms developed and the results obtained for three important questions : The segmentation of speech into gross phonetic classes. This process is based on methods adapted from the APHODEX expert system developed in our group [Foh 86], [CHF+86]. The recognition of vowels in continuous speech for multispeakers. The detection of parameters necessary for identification of plosives and fricatives},
 bibtype = {inproceedings},
 author = {Djoudi, Mahieddine and Fohr, Dominique and Haton, Jean-Paul},
 booktitle = {Proceddings of European Conference on Speech and Technology, Paris}
}

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