| Abstract [eng] |
In this paper analyzed methods for burst detection in speech, described new algorithm and finally presented experiments results. Burst recognition methods used in the world are based on occlusive before plosion detection, various variations of amplitude in phoneme. These methods usually show about 90% of stop consonants recognition. In this paper described algorithm based on occlusive and maximum variation of energy detection, which lets achieve 90.67% accuracy to stop consonants dividing into stop consonants and non-stop phonemes groups. Using these calculations 221 stop consonant were recognized more than without. |
