例句與用法

1. The first part of the paper is designing the testing project for grounding resistance and insulation resistance in a new way . using 16bits ad converter with programmable control amplifier replaced the way which used changing resistance to change measure range . lt is not only improved testing precision and develop the system expediently , but also reduced the area of the circuit boardwith the new way . in order to make the electric implement safety testing system have upstanding expansibility , the software and hardware of the system adopted the modularization design . adopted mcu atmegal28 as a master mcu which control mmi , realtime clock and communication with slaver mcu . atemga8 as the slaver mcu to realize testing function . so it is easy to add or reduce the testing project . the testing implement system has been developed successfully , and the comments for the system is that it has high precision , high expansibility and easy maintain . but considering the electric implement system should have intelligence and humanity abi lity . so this paper bring forward a scheme of electric equipment safety testing embedded system with speech control . after introduce the basic theory of speech recognition , the paper expatiate the characters of this system . the system is a noise conditon , not special people , small glossary , insulation word system . with these characters design the speech recognition as fellow . utilizing cross zero ratio and short energy to ensure jumping - off point and end point ; adopting mfcc as the character parameters of speech recognition ; the character parameters than be recognized by dtw . in order to ensure the credibility of this project , first realized by matlab in computer
   在介紹了語音識別的基本原理后，闡述了本系統(tǒng)的特點：本系統(tǒng)是一個噪聲環(huán)境下非特定人、小詞匯量、孤立詞的語音識別系統(tǒng)。根據(jù)本系統(tǒng)的這些特點設(shè)計了如下語音識別方案：利用過零率和短時能量相結(jié)合的方式確定語音端點；采用mel頻率倒譜系數(shù)( mfcc )作為語音識別的特征參數(shù)；得到的特征參數(shù)最后通過動態(tài)時間規(guī)整( dtw )的模式識別方法進行識別。為了確保本系統(tǒng)實現(xiàn)方案的可靠性，首先通過計算機利用matlab軟件來仿真，在算法仿真實現(xiàn)后又進一步增加環(huán)境的復(fù)雜性：加上較大的環(huán)境噪聲、突發(fā)性的噪聲等，再通過修改參數(shù)、修改參考模板、兩級識別等各種提高語音識別精度的方法來提廣東工業(yè)大學(xué)工學(xué)碩士學(xué)位論文高識別率。