DocumentCode
3043596
Title
Deductive approach to automatic recognition of Russian spoken sentences
Author
Derkach, Miron
Author_Institution
Lvov University, Lvov, U.S.S.R.
Volume
5
fYear
1980
fDate
29312
Firstpage
1041
Lastpage
1044
Abstract
A deductive recognizing strategy, which requires a permanent linguistic activity at the highest levels (pragmatic, semantic, syntactic) is described. Semantically probable and grammatically correct sentences are continuously predicted and checked against the recognizing speech signal. They build successions of predicted phoneme standards processed in the multidimensional acoustic phonetic feature domain. The verification algorithm evaluates distances from each discrete 20 millisecond long interval of the speech signal to the corresponding predicted phoneme standards, thus converting the dynamic spectrogram of the message into the the phonemogram. Correct phoneme verification of 80% of words was obtained in a pilot study applying the deductive recognition strategy.
Keywords
Automatic speech recognition; Biophysics; Multidimensional systems; Predictive models; Signal processing; Spectrogram; Speech analysis; Speech processing; Speech recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
Type
conf
DOI
10.1109/ICASSP.1980.1171081
Filename
1171081
Link To Document