音高差別 的英文怎麼說

中文拼音 [yīngāochābié]
音高差別 英文
interval
  • 音 : 名詞1. （聲音） sound 2. （消息） news; tidings 3. [物理學] （音質） tone 4. （姓氏） a surname
  • 高 : Ⅰ形容詞1 （從下向上距離大; 離地面遠） tall; high 2 （在一般標準或平均程度之上; 等級在上的） above...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 音高 : [音樂] pitch音高記錄器 pitch recorder
  1. This thesis tries to update the cmdsr system to achieve the characters below : real - time, better robust, higher recognition rate, non - special - man. considering the disadvantages of traditional improved spectrum subtraction speech enhancement, this thesis proposes the theory of fuzzy spectrum subtraction based on the fuzzy theory and improved spectrum subtraction speech enhancement ; as for the difficulties of detecting the endpoint of speech signal, the thesis gives the table of initial and the improved parameters, with which we can confirm the endpoints of mandarin digit speech ; the thesis puts forward two - level digit real - time speech recognition system, the first level is based on discrete hidden markov model which is linear predictive coding cepstrum ( lpcc ) and difference linear predictive coding cepstrum ( dlpcc ), the second level is based on formant parameters ; as for the realization of hardware, the thesis depicts the realization of every part of cmdsr based on the tms320vc5402 in detail ; as for the development of software, the thesis gives the software design flow chart of cmdsr, simulates the basic theory with matlab language and gives the simulation results

    針對傳統的「改進譜相減法語音增強」參數設定單一、環境適應能力差的缺點，提出了一種利用模糊理論和「改進的譜相減法」結合的「模糊譜相減法語音增強」 ;針對語音信號端點檢測困難的特點，通過matlab模擬試驗，給出了能夠準確確定數碼語音端點的初始和改進參數表;提出了利用基於線性預測編碼倒譜參數和差分線性預測編碼倒譜參數相結合的離散隱含馬爾可夫模型進行第一級識別、利用共振峰參數進行第二級識別的兩級漢語數碼語音識別系統，在保證系統實時性的同時，實現連接漢語數碼語音識別系統識別率的提高;在硬體實現上，詳細闡述了基於tms320vc5402的連接漢語數碼語音識別系統各部分硬體設計;在軟體開發上，給出了連接漢語數碼語音識別的軟體設計各部分的流程圖，並對各部分進行了matlab模擬，並給出了模擬結果。
  2. A framework for dialectal chinese speech recognition is proposed and studied, in which a relatively small dialectal chinese or in other words chinese influenced by the native dialect speech corpus and dialect - related knowledge are adopted to transform a standard chinese or putonghua, abbreviated as pth speech recognizer into a dialectal chinese speech recognizer

    但在實際中，多數人所說的普通話因受其方言背景的影響而不十分標準，這大大影響了語音識別的性能。一種解決方案是，對每種方言都收集足夠多的語音數據然後構造相應的識別器，但由於漢語方言種類多且差異大，時間和成本都是很高的。
  3. Connected digit speech recognition is a crucial branch of continuous speech recognition. it has a long time attracted the attentions of many researchers because it has wide applications such as speech autodialer, personal number verification, etc. mandarin connected digit speech recognition, for its own pronunciation characteristic ' s more difficult than english digit recognition

    漢語連續數字語音識別是語音識別中的一個重要分支，同英語發音的識別情況相比還有一定的差距，主要難點在於，首先漢語是單音節字，音節越少語音間的混淆程度越高，識別越困難。
  4. Postmodernist perspective of student thinks, student is the creative being, education should esteem student ' s creation, develop student " creative potential, protect student ' s creative ardor, develop student ' s creative ability, the highest idea of quality education is to develop student ' s creative ardor and student ' s practical ability, student is original being, education should esteem student ' s multi - aspect differences, remove all kinds of discrimination, listen to different voices, especially, the voice of disadvantageous groups, concerns students on minor status or the edge ; student should become sustainable developmental human, education is an enterprise to develop human ' s potential

    后現代主義學生觀認為：學生是創造性的存在物，教育應尊重學生的創造，開發學生的創造潛能，保護學生的創造熱情，發展學生的創造能力，素質教育的最高理想是培養學生的創造熱情和實踐能力；學生是獨特性的存在物，教育應尊重學生的多方面差異，要清除教育中的各種歧視，主張傾聽不同聲音，特別是弱勢群體的聲音，要關注處在次要或邊緣地位的學生（如落困生、少數民族學生、殘疾青少年等等） ；學生應該成為可持續發展的人。教育是開發人的潛能的事業。
  5. 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。
  6. There are difficulties in noisy speech recognition, especially low signal - to - noise rations are more difficult. this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words. they are lpc prediction error method, one - side auto - correlation sequence lpc, acoustic front end processing, canonical correlation based on compensation method, combination of features method and increase of poles method. the experimental results show that all the six techniques can improve effectively noisy speech recognition, and the best noisy speech recognition rate is above 80 % when snr 0db

    它們是：線性預測誤差法，單邊自相關線性預測法，語音前端聲學處理法，正則相關分析的譜變換補償方法，特徵綜合法和同模極點增加法。實驗結果表明，這6種方法都有效地提高了噪聲環境中語音識別率，其中較好的方法在強噪聲環境中信噪比為0db的語音識別率達到80 %以上，為信噪比較低的噪聲環境中自動語音識別展現了美好前景。
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