earticle

영어

Endpoint detection is the first essential technology which speech recognition system
meets in pre‐processing stage. This algorithm which based Tibetan vowel/consonant frequency
spectrum characteristic, separately is processed again through the pronunciation signal minute
high/low‐frequency band, conforms to Tibetan pronunciation clear/muddy opposition information
distribution characteristic, then separately withdraws but actually is scored the cepstral
coefficient to take the endpoint detection characteristic, because the cepstral coefficient
actually scores the information which the characteristic contains compared to other
parameters many, can attribute the better attribute pronunciation signal, the pronunciation
quality is good, the recognition accuracy is high; When examination adopt the auto‐adapted noise
parameter to estimate that, decided beginning/end vertex according to ceptrum distantce, the
simulation result indicated its superiority.