Nowadays, speed recognition has based on speaker, vocabulary and so on. Many data, however, were required for speech analysis and synthesis. Thus it is necessary for the development of an algorithm to solve the problem. Since Korean syllables are divi...
Nowadays, speed recognition has based on speaker, vocabulary and so on. Many data, however, were required for speech analysis and synthesis. Thus it is necessary for the development of an algorithm to solve the problem. Since Korean syllables are divided into a consonant and vowel, a speech recognition algorithm using phonemes is effective.
In this paper, 256 data samples and 12 predictor coefficients are used for the recognition. An effective voiced/unvoiced decision and pitch detection is performed by cepstrum. Also speech parameters are extracted by linear prediction and formant frequency analysis. Using these parameters, a speech recognition algorithm has been developed and make an experiment in some Korean speech samples.
This experiment is performed for a speaker, and using linear prediction analysis and formant frequency extraction the acquired results are 87.14% and 88.09% respectively.