recognition of end-point 中文意思是什麼

recognition of end-point 解釋
終點辨認
  • recognition : n. 1. 認識;識出;識別;面熟,認得;招呼。2. 承認,認可。3. 褒獎,表揚;感謝,酬勞。
  • of : OF =Old French 古法語。
  • end : n 1 端,尖,末端,終點。2 邊緣;極點,極限。3 結局,結果。4 目的。5 最後,死。6 【紡織;印染】經...
  • point : n 1 尖頭,尖端;尖頭器具;〈美國〉筆尖;接種針,雕刻針,編織針;小岬,小地角;【拳擊】下巴。2 【...
  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,闡述了本系統的特點:本系統是一個噪聲環境下非特定人、小詞匯量、孤立詞的語音識別系統。根據本系統的這些特點設計了如下語音識別方案:利用過零率和短時能量相結合的方式確定語音端點;採用mel頻率倒譜系數( mfcc )作為語音識別的特徵參數;得到的特徵參數最後通過動態時間規整( dtw )的模式識別方法進行識別。為了確保本系統實現方案的可靠性,首先通過計算機利用matlab軟體來模擬,在演算法模擬實現后又進一步增加環境的復雜性:加上較大的環境噪聲、突發性的噪聲等,再通過修改參數、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大學工學碩士學位論文高識別率。
  2. Secondly, according to the model of speech - recognition system it describes the fundamental of every part ( including pretreatment, end point detection, template production and template matching ) such as the speech data signal process, the mode recognition and discusses some method of the realization of speech - recognition on pc

    其次,根據語音識別系統的基本構成模型,介紹了預處理、端點檢測到模板生成及模板管理和模板匹配各部分所涉及到的語音數字信號處理、模式識別等方面的基本原理,並討論了在pc機上實現語音識別系統的幾種途徑。
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