NUTQ SIGNALIGA DASTLABKI ISHLOV BERISHNING TAKOMILLASHTIRILGAN USUL VA ALGORITMLARI
Keywords:
nutq signali, dastlabki ishlov berish, old kuchaytirish (pre-emfaza), oynalash, ovozli faollikni aniqlash (VAD), spektral ayirish, shovqindan tozalash, veyvlet o‘zgartirishi, MFCC, nutqni tanib olish.Abstract
Maqolada nutqni avtomatik tanib olish (Automatic Speech Recognition, ASR) tizimlarida nutq signaliga dastlabki ishlov berishning asosiy bosqichlari — old kuchaytirish (pre-emfaza), signalni kadrlarga ajratish va oynalash, ovozli faollikni aniqlash (Voice Activity Detection, VAD), shovqindan tozalash hamda signal amplitudasini normallashtirish ko‘rib chiqilgan. Spektral ayirish, Viner filtri va veyvlet o‘zgartirishi asosidagi takomillashtirilgan shovqindan tozalash algoritmlari qiyosiy tahlil qilinib, ularning nutqni tanib olish aniqligiga ta’siri baholangan. Mel-chastotali kepstral koeffitsiyentlarni (MFCC) hisoblashdan oldingi dastlabki ishlov berish bosqichining ahamiyati asoslab berilgan.
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