Title :
A syntactic analyzer adapted to speech recognition
Author_Institution :
Centre National d´´ Etudes des Télécommunications, Lannion, France
Abstract :
This paper gives a description of a syntactic analyzer, which is used for continuous speech recognition. After the words have been located in a sentence by a lexical analyzer, the syntactic analyzer makes a bottom-up parsing, evaluating all the possible solutions, according to a context-free grammar. The analyzer has been designed to make up for some errors which had occured in the phonemic analysis, such as the omission or the insertion of phonemes, resulting in an inadequate segmentation of the words in a sentence. It also allows in some cases to complete sentences for which a word is missing. We have tested the program on a hundred sentences from simple languages (vocabularies of 50 to 100 words) : the present version of the analyzer allows the recognition of up to 50-60% of the sentences. It only takes a few seconds to analyze a sentence.
Keywords :
Acoustic testing; Character recognition; Computer vision; Signal analysis; Signal processing; Speech analysis; Speech recognition; Vocoders;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.
DOI :
10.1109/ICASSP.1976.1170025