speaker recognition 中文意思是什麼

speaker recognition 解釋
講話者識別
  • 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...
  • 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。
  1. Application of vector quantification in speaker recognition

    矢量量化技術在說話人識別中的應用
  2. The laboratory has proposed several speaker recognition methods involving computational auditory models, modular neural networks, gaussian mixed models, hidden markov models, and implemented a recognition framework combining semantic and voiceprint information

    實驗室提出了基於聽覺計算模型、模塊化神經網路、高斯混合模型、隱馬爾科夫模型等說話人識別方法，以及結合語義和聲紋信息的說話人識別框架。
  3. This paper seeks to develop an automatic speaker recognition ( asr ) system, while this thesis concerns text - independent speaker recognition technology only

    摘要主要對文本無關的說話人識別技術進行一些探討。
  4. An interesting property of this approach is that it is an approximate implementation of the structural risk minimizaiton ( srm ) induction principle. in this thesis, the theory and method of support vector machines were studied in the given application, text - independent speaker recognition

    支持向量機是在統計學習理論的基礎上發展而來的一種新的模式識別方法，在解決有限樣本、非線性及高維模式識別問題中表現出許多特有的優勢。
  5. 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。
  6. Speaker recognition system based on vq in matlab environment

    環境下基於矢量量化的說話人識別系統
  7. Fuzzy gaussion mixture models for speaker recognition

    一種模糊高斯混合說話人識別模型
  8. 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。
  9. This thesis focuses attention on text - independent speaker verification. the main works are as follows : 1 ) we have a deep research in basic theories of speaker recognition and the speaker verification system based on gaussian mixture model

    本文的研究內容是基於文本無關的說話人確認系統，主要做了以下的工作: 1 ）深入細致地研究了說話人確認的原理以及基於高斯混合模型的說話人確認系統。
  10. At present, most speaker recognition systems are working on the computer. after primarily focusing on technique of feature extraction and recognition, this paper realizes a set of practical speaker verification system on spce061a, which can be applied to many fields of voice control

    目前國內外絕大部分說話人識別系統都是基於計算機來進行的，本文在重點研究說話人識別系統中的特徵參數提取、識別方法等關鍵技術的基礎上，在凌陽16位單片機spce061a上實現了一套具有實用意義的說話人確認系統，在進一步完善的情況下，可將其應用於語音門鎖、語音考勤、醫用語音控制等。
  11. In the thesis the author presents some research on speaker recognition, mixed speech signal separation and speech transformation using neural network.

    本文介紹作者在進行說話人識別、混疊語音信號分離和應用神經網路技術進行語音轉換方面的若干研究探索問題。
  12. On the importance of components of the mfcc in speech and speaker recognition

    語音識別和說話人識別中各倒譜分量的相對重要性
  13. In the thesis, we select the mel - frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal. mel cepstrum is of better recognition and anti - noise capability. ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition

    （ 2 ）現有的說話人識別方法有動態時間規整法、矢量量化法、隱馬爾可夫模型和神經網路法等，其中hmm已成為目前最佳的說話人識別處理模型。
  14. Speaker recognition is the processing of automatically recognizing which is speaking by using speaker specific information included in speech signal. speaker recognition has broad application foreground in many fields such as electric business and information security

    說話人識別技術作為語音信號處理的一個重要組成部分，其巨大的應用前景和廣闊的未知領域正受到越來越多人的重視。
  15. The analysis of the relative importance of components of mfcc for both speech recognition and speaker recognition using dtw recognizer in various noise environments are given. for english digit and under the euclidean distance definition, the experiment results show cepstral components from

    採用增減特徵分量的方法研究了mfcc各維倒譜分量對說話人識別和語音識別的貢獻。使用dtw測度，在標準英文數字語音庫上的實驗表明，最有用的語音信息包含在mfcc分量
  16. The second issue is support vector domain description for open set speaker recognition

    本文的第二個工作是針對開集說話人辨認問題，提出了支持向量區域描述演算法。
  17. Speaker recognition based on dwt - teo

    的說話人識別
  18. Based on those process algorithms, the other important applications, such as speech coding in gsm system, echo cancellation, speaker recognition, are discussed

    在此基礎上，對gsm系統中的編碼、回聲抵消、說話人識別和交通車輛內部的噪聲抵消應用進行了研究。
  19. The group has regularly participated in the speaker recognition evaluation held by the usa national institute of standard and technology ( nist ) since 2004, and won the top 1 in the speaker recognition task for telephone conversation speech in 2004

    自2004年起多次參加美國國家技術標準局舉辦的說話人識別國際評測，並在2004年電話交談語音的說話人識別評測中取得了第一名的成績。
  20. Speaker recognition based on wavelet transform

    子波變換及其在語音識別中的應用
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