Title :
Acoustic-phonetic recognition in the ARABEX system
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sci. & Technol. of Oran, Algeria
Abstract :
In this paper we consider the knowledge-based approach whose main advantages are pointed out, particularly the possibility of incrementally building up a complex system and updating and maintaining a knowledge base, and the capability for the expert system to explain its reasoning process. Our expert system uses intensively a large amount of knowledge derived from the performance emulation on spectrogram-reading database. The knowledge is coded in the Arabic decoder system under the forms: procedures for segmentation and labelling of segments into gross phonetic classes; contextual production rules; and decoding strategies. The output is a string of segments containing alternative phonemes, together with their matching score. Three male speakers are used for the recognition step. Our system is developed to serve as a part of an automatic speech recognition system for continuously spoken Arabic sentences and can be considered as as important step towards a system for oral dialogue between man and machine
Keywords :
decoding; inference mechanisms; knowledge based systems; speech recognition; ARABEX system; Arabic decoder system; acoustic-phonetic recognition; contextual production rules; decoding; knowledge-based system; labelling; reasoning; segmentation; spectrogram-reading database; speech recognition; Algorithm design and analysis; Decoding; Expert systems; Labeling; Pattern recognition; Signal analysis; Signal processing; Signal processing algorithms; Speech analysis; Speech processing;
Conference_Titel :
Robot and Human Communication, 1995. RO-MAN'95 TOKYO, Proceedings., 4th IEEE International Workshop on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-2904-X
DOI :
10.1109/ROMAN.1995.531945