音系特徵 的英文怎麼說

中文拼音 [yīnxìtèzhǐ]
音系特徵 英文
phonological feature
  • 音 : 名詞1. （聲音） sound 2. （消息） news; tidings 3. [物理學] （音質） tone 4. （姓氏） a surname
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. The different which can represent a phoneme in different phonetic environments are called the allophones of that phoneme

    音位是音系學研究的單位，是抽象的概念，每一個音位是一組語音特徵的集合體，音位具有區別意義的作用。
  2. ( 2 ) study the character of audio signal. analyze the zero - crossing rate and mfcc. a mean mel coefficients is proposed, it can be used to recognized different audio signal

    通過對mfcc系數進行分析，均值mfcc系數作為音頻特徵，採用動態時間規整識別演算法，能夠對單一音頻進行識別，對已有數據源進行測試，有較高的識別率。
  3. Firstly, we study the construction of emotion - speech template database, and analyze the common features such as pitch, energy and formant. after choosing the useful features by using fuzzy entropy effectiveness analysis, we get better performance with the application of neural network. in addition, we propose some more efficient features such as speech rate, pitch slope, mel - frequency cepstral coefficients and its transient parameters, and design a processing model based on vector quantization for cepstral features to fusing different features

    本文首先介紹了情感語音數據庫的建立情況，然後研究了基音頻率、振幅能量和共振峰等目前常用的情感特徵在語音情感識別中的作用，並且通過一種基於模糊熵的特徵有效性分析方法進行了有效特徵的篩選，應用人工神經網路建立了初步的語音情感識別模型，經過實驗發現特徵篩選后系統的識別效果有著一定程度的提高。
  4. Some characteristics of the vowel system for chinese character pronunciation in the korean language

    韓國漢字音韻母系統的幾個特徵
  5. However, identification that uses only one character is not fitful for application. according to this, in this thesis, new methods about multi - biometrics are introduced. then, a multi - biometrics system based on face and voice is realized

    本文針對這種情況，提出了新的多生物特徵整合方法，並在人臉圖象和語音的基礎上實現了一個多生物特徵認證系統。
  6. Breaking through the limitation that the " chinese library classification " can ' t open out all searching characteristics of musical media, the paper sorts out and sums up 12 musical media attributes according to the particular characteristics of musical media

    突破《中圖法》不能揭示音樂作品所有檢索特徵的局限性，分類歸納了12種音樂媒體的屬性，根據這12種音樂媒體屬性創建了音樂媒體數據庫和音樂媒體檢索系統。
  7. In the theory introduction part, after simply introduces the basis knowledge of voice signal, a systemic and concise brief of the preceding disposal, endpoint detection, parameter pick - up and matching - method of speech recognition according the basic framework of speech recognition system are given

    在語音識別理論介紹部分，文中在簡單介紹了語音信號的基本知識之後，根據語音識別系統的基本結構，依次對語音識別技術的前端處理、起止點檢測、特徵提取和識別判決方法部分一一進行了系統而簡明的闡述。
  8. In the design of corpus, we carefully analyze the syllable distribution of corpus th - coss, then classify the prosodic characters of this corpus and present out the distribution of every prosodic character. based on prosodic character vector, we construct an error function which is used to select original corpus for simulation system, and show the distribution of prosodic characters for the original corpus. greedy algorithm and corpus self - adaptive process are expatiated to set theoretical foundation for text material search

    在語料庫分析與設計方面，首先統計th - coss語料庫中音節分佈情況，給出th - coss語料庫韻律特徵分類，並對每一種韻律特徵進行統計，然後構造了一個基於韻律特徵向量的誤差函數，並採用該誤差函數提取語料組成模擬系統的初始語料庫，分析該庫的韻律特徵分佈，最後闡述了greedy演算法與語料自適應過程，為文本語料的搜索打下理論基礎。
  9. Through the dialect research since song dynasty and the gushi dialect example, it is proved that longyan dialect retains the unique ancient chinese pronunciation and words and shares certain same basic characteristics with hakkas dialect

    通過宋代以來的方言研究及固始方言的實例獲得證明，龍巖方言中保留著特有的上古漢語語音的音系和詞匯，以及與客家方言若干相同的基本特徵。
  10. The study of key generation was outlined from keystroke, voice and handwritten signatures and so on, and the security of key generation systems was introduced

    從擊鍵特徵、聲音和手寫簽名等生物行為特徵詳細概述了生物特徵生成密鑰的框架，並介紹密鑰生成系統的安全性。
  11. At the same time, because general hierarchical is not good on question classification, this paper proposes a new method for chinese question hierarchical classification. this method combines the key class features with the question syntactic features to classify questions. since this method extracts the syntax features and adds syntax information into question classification, at last, the precision of the coarse classes reaches 88. 25 % and fine classes reaches 73. 15 %, respectively improves nearly ten percent than the traditional hierarchy classification, proving this method is effective

    本文針對文本分類和問題分類的差別，利用依存分析提取主幹和疑問詞及其附屬成分，並結合主幹關聯詞對，採用支持向量機分類器，此方法大大減少了問題分類的噪音，突出了問題分類的主要特徵，並考慮了詞與詞之間的句法關系，取得了良好效果;同時，針對普通層次分類在問題分類上效果不理想的情況，本文提出了類別主特徵結合句法特徵的中文問題層次分類新思想，利用句法分析提取分類特徵，在問題分類中融入了句法信息，總的準確率達到大類88 . 25 %和小類73 . 15 % ，比傳統的層次分類分別提高了10個百分點，證明了此方法的有效性。
  12. Because the adaptive algorithm of conventional adaptive noise canceller is the least mean squares ( lms ), and the convergence rate of lms is heavily dependent on the eigenvalue distribution of the autocorrelation matrix of the input signal, thus lms converges at unacceptably low rates when the input signal is colored noise or speech

    由於傳統自適應噪聲抵消系統（ anc ）自適應演算法主要採用lms演算法，而lms演算法收斂速度依賴于輸入信號自相關矩陣特徵值的分散程度。因此，當輸入信號是語音或有色噪聲時， lms的收斂速度很慢。
  13. On the phonetic - system feature of chinese words consisting of two characters

    試論漢語聯綿詞的音系特徵
  14. The work of compilation, textual research and material sorting out by japanese scholars as well as the basic points discussed in the studies, such as sino - sanskrit phonetic transfer and marking, the study features across space and time, the specific study ways and the influences of the study on chinese phonology all carry scientific natures

    日本學者有關漢梵對音譯音資料的考訂與整理和漢梵對音譯音研究的基本問題，如梵漢對音譯音的轉寫與標記、梵漢對音譯音語音系統研究的時空特徵、梵漢對音譯音研究的具體方式、梵漢對音譯音研究對中國音韻學的影響等，都具有一定的科學性。
  15. The major work and achievement of this paper are presented as follows : ( 1 ) we review the main methods of audio retrieval at home and abroad

    對音頻信號的短時過零率、短時能量、 mel倒譜系數等進行主要分析。提出均值mfcc系數作為音頻特徵的方法。
  16. The potential barrier feature of quot; huangzhong tongyun quot

    的潛在音系特徵
  17. The single - valued representation of the vowels of the same height

    相同高度的母音在獨值音系特徵分析法中的表徵
  18. Through experiments, it proved that using average mel coefficients as characters, dtw arithmetic is an efficient arithmetic for recognizing single sound signal

    均值mfcc系數作為音頻特徵，採用動態時間規整識別演算法，經過大量實驗證明，這種方法能有效地對單一音頻信號進行識別。
  19. One is using the autocorrelation function to detect the speech terminal, the other is using the coefficients based on the one - sided autocorrelation sequence to replace the original speech signal and then extract the speech feature to recognize. isolated word recognition experiment based on dtw shows : it can reduce the disturbance of noise effectively and get the high recognition rate. it is of great advantage to apply when snr signal to noise rate is low

    對含噪語音在自相關域上進行處理，以其自相關函數值為參數進行端點檢測，以基於單邊自相關序列的lpc倒譜系數作為語音的特徵參數進行語音識別，實驗表明：這種方法較好地消除了噪聲對語音信號的干擾，並獲得了較高的識別率。
  20. Meanwhile, the telephone gateway in tetra system is introduced. in further research, the principle of tetra speech coding algorithm ? algebraic codebook excitation linear prediction ( acelp ) is introduced and analysed in detail, which is a advanced codebook excitation linear prediction ( celp ). acelp algorithm replaces the excitation signals with algebraic codebook and uses some technique such as minimizing the mean square error ( mse ) and the analysis - synthesis method to obtain characteristic parameters of speech

    同時，介紹tetra系統的市話網關，並在接下來的研究中詳細介紹tetra電話網關中應用到的語音編解碼演算法? ?代數碼本激勵線性預測碼（ acelp ）的基本原理，它是一種簡化了的碼本激勵線性預測碼（ celp ） ，它把激勵信號用代數碼本代替，並且運用了均方誤差最小、分析?合成等技術提取出語音的特徵參數，極大地降低了比特率，而且具有較好的重建語音質量。
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