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李洪波,于洪志 한국어정보학회 2008 한국어정보학 Vol.10 No.1
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.