Title :
Deductive approach to automatic recognition of Russian spoken sentences
Author_Institution :
Lvov University, Lvov, U.S.S.R.
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
DOI :
10.1109/ICASSP.1980.1171081