幀取樣 的英文怎麼說

中文拼音 [zhèngqǔyàng]
幀取樣 英文
frame grabbing
  • 幀 : 量詞（幅, 用於字畫）
  • 取 : Ⅰ動詞1 （拿到身邊） take; get; fetch 2 （得到; 招致） aim at; seek 3 （採取; 選取） adopt; assume...
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  1. Carry on emulation to melp standard, realize that the compression of the pronunciation file is solved and pressed. first this thesis sample to wav file, carry on the speech to analyze and draws with the parameter to the speech data of every frame. these parameter include pitch, bpvc, jitter, lpc, etc. then, these parameters will be quantized by msvq technology

    該系統首先對語音信號進行采樣；按幀對語音數據進行語音分析和參數提取，提取的參數包括基音周期（ pitch ） 、多帶清濁音判別、非周期抖動標志、線性預測參數（ lpc ）等語音生成模型參數；接著對這些參數進行了量化，量化採用了多級矢量量化技術；最後在解碼端對各個量化參數進行解碼，利用這些參數結合語音合成模型重構語音。
  2. In addition, the concept of scene centriod is introduced to represent video scene by averaging of all key frames inside a group of shots in the given video scene, which makes an audacious attempt for high - level video unit extraction and representation ; 4 ) according to the given sample video, shot and scene - based video retrieval methods are discussed respectively, and the evaluation pricinples are also discussed

    進而，討論了由場景中一組鏡頭的關鍵幀的質心表示場景關鍵幀，即場景質心的方法，從而為抽取高層的視頻數據單元做出了大膽的嘗試； d ）從給定樣本視頻出發，分別討論了基於鏡頭和場景的視頻檢索方法，並分析了檢索性能評價的準則。
  3. In the phase of training, it gets the sampling data from the wave files which were stored in the voice library by using the mci functions. then calculates the character vector ( 12 ranks of lpc and lpcc ) and trains them by clustering method, so we get the templates used by speech - recognition, this templates were stored in the template library. in the state of recognition, after calculating the character vector of input voice, we compare it with the character vectors of templates, and then find the best one or refuse it

    系統的組成模塊與語音識別系統的基本構成模型基本一致，在訓練過程中，通過調用mci （ mcimultimediacontrolinterface ）提供的函數從語音庫中的波形文件中讀取采樣數據，分幀計算出由12維線性預測系數和12維線性預測倒譜系數構成的特徵矢量，並按照聚類的方法進行訓練，得到后續語音識別時需要的模板，存放于模板庫中。
  4. A process for speaker - dependent and isolated - word speech recognition system is presented starting from preprocessing i. e. digital sampling, noise filtering, windowing and so on. it is followed by endpoint detection and pick - up parameters of speech signal. methods for speech recognition are discussed as well

    本文循著一個特定人孤立詞語音識別系統的處理過程，從信號前端處理（數字采樣、預加重濾波、加窗分幀）開始，分別介紹了語音信號的端點檢測、特徵參數提取以及孤立詞識別方法，並對每個步驟可用的幾種方法在實驗基礎上進行了分析對比。
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