speaker identification 中文意思是什麼

speaker identification 解釋
發話人識別
  • speaker : n 1 說話人；演說者；雄辯家。2 廣播員。3 擴音器，揚聲器；喇叭，話筒。4 〈S 〉英國下議院、美國眾議...
  • identification : n. 1. 認出，識別，鑒定，驗明（罪人正身等）。2. 【心理學】自居作用。3. 身分證。4. 【數學】黏合，同化。
  1. Speaker feature extraction based on human auditory model and speaker identification under noisy background

    基於聽覺模型的話者特徵參數提取及其在噪聲背景下的話者辨識
  2. In general, it can be classified into speaker identification and speaker verification according to decision modes. this thesis focuses attention on research of text - independent speaker recognition technology based on vector quantization. lbg algorithm is one of the common and important methods used in speaker recognition

    在說話人識別方面，由於矢量量化技術可以有效地提取說話人的個性特徵，矢量量化碼本可以在最佳意義上代表說話人特徵矢量空間中的所有矢量，因而矢量量化碼本可作為說話人有效的識別模型，而模型建立的關鍵問題是獲得高質量的碼本。
  3. Robust feature based on speech harmonic structure for speaker identification

    非變異特徵的指紋鑒別技術
  4. It can be classified into speaker identification and speaker verification according to decision modes

    說話人識別可以分為說話人鑒定和說話人確認兩大類。
  5. It is a branch of speech recognition. it can be divided into speaker identification and speaker verification. firstly the basic theory of speaker recognition is discussed

    本文主要研究的是說話人識別，它是語音識別的一個分支，可分為說話人辨認和說話人確認。
  6. Application of probabilistic neural network in text - independent speaker identification

    概率神經網路在文本無關說話人識別中的應用
  7. The paper involves two parts of closed - set text - independent speaker identification systems in noise. firstly, the paper introduces shortcomings of the parameters, such as lpcc, mfcc etc. so sub - band energy cepstral feature parameters based on multi - rate sub - band processing and teager energy operator are described. while the paper discusses the use of rayleigh cepstral liftering to weigh sub - band cepstral coefficients so as to emphasize speaker personality information

    首先本文介紹了各種特徵提取的方法，如lpcc 、 mfcc等，在分析了它們的缺點的基礎上，本文根據人耳頻率子帶獨立識別的特性和能量運算元，提出了子帶能量倒譜特徵參數，並用提出的瑞利倒譜提升進行加權，突出說話人的個性信息。
  8. The application of the emd in speaker identification

    在說話人辨認中的應用
  9. Research on noise compensation for text - independent speaker identification

    噪聲補償應用於與文本無關的說話人辨認研究
  10. A robust feature - extraction method based on wavelet transform for text - independent speaker identification

    變換的非特定人語音特徵提取方法
  11. Based on multi - features and multi - stages decision speaker identification in telecommunication network

    基於多特徵序貫判決的電話語音聲紋鑒別方法研究
  12. Speaker identification based on classify feature sub - space gaussian mixture model and neural net fusion

    基於分類特徵空間高斯混合模型和神經網路融合的說話人識別
  13. My main work is as following : 1 ) applying feature mapping, sub - band structure classifier and multi - classifier cooperation to enhance the robust of system ; 2 ) giving out close - set fusion and open - set fusion functions to solve the problems of speaker identification and verification respectively ; 3 ) building the dynamic recognition length algorithm based on optimal stopping rules ; 4 ) developing a applied system based on the techniques above

    主要工作是： 1 、提出參數映射、子帶結構分類器和多分類器系統以提高系統的魯棒性能； 2 、給出證據融合的閉集公式和開集公式，它們分別適用說話人辨認和確認問題的； 3 、通過最優停止理論建立識別長度自適應演算法； 4 、開發了一個實用的說話人識別系統。
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