TY - JOUR
AU - Savchenko, A. V.
AB - Abstract In this paper, we studied the phonetic approach for voice processing. A method for automatic recognition of speech signals, in which each quasistationary segment is associated with a fuzzy set of phonemes, was developed. We proposed the operation of the probabilistic triangular norm for fuzzy sets corresponding to the input frame and the nearest reference phoneme. The developed method was experimentally shown to allow a 1.5–5% reduction in the probability of erroneous recognition in comparison with known analogues.
TI - Fuzzy Phonetic Encoding of Speech Signals in Voice Processing Systems
JF - Journal of Communications Technology and Electronics
DO - 10.1134/s1064226919030173
DA - 2019-03-01
UR - https://www.deepdyve.com/lp/springer-journals/fuzzy-phonetic-encoding-of-speech-signals-in-voice-processing-systems-oy1E6hUeta
SP - 238
EP - 244
VL - 64
IS - 3
DP - DeepDyve
ER -