speaker dependent 中文意思是什麼

speaker dependent 解釋
特定發音人識別
  • 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...
  • dependent : adj. 1. 依靠的，依賴的。2. 從屬的，隸屬的，【語法】從屬的。3. 由…決定的。4. 下垂的，懸吊的。n. 1. 受贍養者，靠人生活的人。2. 扈從，侍從。3. 依存[從屬]物。
  1. Based on traditional dtw speech recognition and through relaxing extreme, limiting route ' s slope and improving some routes, the system can recognize and respond quickly especially when applied in small vocabulary speech recognition and speaker - dependent recognition

    在傳統的dtw語音識別的基礎上，通過放寬端點、對路徑進行斜率限制和改進路徑限制等方法，使系統能夠快速的識別響應，尤其是對于小詞匯量和特定人識別，可以有效地提高響應速度和識別率。
  2. Forth, a speaker - dependent and isolated - word speech recognition system is designed

    設計並實現了一個特定人孤立詞識別系統。
  3. Second, we talked algorithms of speaker - dependent and isolated - word speech recognition, including dtw, vq, hmm, and ann

    研究特定人孤立詞識別演算法，包括dtw識別法、 vq識別法、 hmm識別法以及神經網路識別法。
  4. A major improvement in recognition accuracy has been achieved in dtw algorithm compared to classical methods, eventually a software for speaker - dependent and isolated - word speech recognition is worked out

    其中識別演算法部分本文對經典的dtw進行了改進，成功地提高了識別率。最終，根據所選參數和識別演算法編制了一個特定人、小詞匯量、孤立詞語音識別軟體。
  5. The following description describes the basic features of the voice recognition mechanism which is based on a speaker dependent is dated word recognition method.

    下列敘述說明了以與授話人有關的分離詞匯識別法為基礎的語音識別機理的基本特點。
  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。
  7. The characteristics of numerical and application for the methods are illustrated by using simulation testing. especially, the influence of some factors, such as feature parameter, number of training samples, background noise and speaker independent or dependent, is discussed. traditional dtw is also compared with the method

    通過模擬計算，比較了三種神經網路演算法的識別性能及應用特點，分析討論了不同特徵參數、訓練樣本數目、背景噪聲以及是否特定人對識別結果的影響，並與傳統的動態時間歸整（ dtw ）方法進行了比較。
  8. The gricean pragmatics is important to discourse analysis because it can help to analyze the way speaker meaning is dependent upon a cognitive context of shared beliefs and assumptions

    格賴斯語用學對話語分析的貢獻在於它說明了理解講話者的真正意圖取決于聽話者與講話者雙方共有的語境系統。
  9. 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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