高音短號 的英文怎麼說

中文拼音 [gāoyīnduǎnháo]
高音短號 英文
piccolo cornet
  • 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...
  • 音 : 名詞1. （聲音） sound 2. （消息） news; tidings 3. [物理學] （音質） tone 4. （姓氏） a surname
  • 短 : Ⅰ形容詞（空間、時間兩端之間的距離小） short; brief Ⅱ動詞（缺少; 欠） lack; owe Ⅲ名詞1 （缺點） we...
  • 號 : 號Ⅰ名1 （名稱） name 2 （別號; 字） assumed name; alternative name3 （商店） business house 4 （...
  • 高音 : [音樂] high pitch; high-pitched voice
  1. Code this control code of the recording s bit inside of the 16 the instruction to tell to put in the hdcd in the cd hdcd in the phonograph solution code, is central plains the number this of the high of that short restores out. like this, hdcd can in the cd of 44. 1 orotund number that khzs sampling frequency extreme limit inside, exceed the bandwidth 20 khzs re - appeared out

    在hdcd編碼錄音的第16bit中的這個控制代碼指令告訴放在cd唱機中的hdcd解碼器，把訊號中原本的那個短促的陡高音還原出來。這樣， hdcd就能夠在cd的44 . 1khz的取樣頻率極限內，把頻寬超過20khz的聲音訊號重現出來了。
  2. As for the feature of mandarin digit speech, the existing arithmetic is cited to design the software system, and the design process is described in the part. here, the shore - time ^ relative efp ( energy - frequency - product ) is used to make the capsheaf of chinese speech signal, and the short - time relative efq ( energy - frequency - quotient ) is used to separate its syllable and consonant - vowel segment, and it improves the correct rate

    本文採用的漢語語音的端點信號的檢測和清濁音信號切分方法是：短時相對能頻積的方法對漢語語音信號的端點進行檢測；短時相對能頻比的方法對語音信號的清濁音進行切分，提高漢語語音信號切分的成功率。
  3. The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high - energy noise and some non - gauss noise simply and effectively ; bi - spectrum can acquire more information from the original signal than power - spectrum, detect more information except from range and restrain the gauss noise. short - time speech signal can be considered as stationary and with periodic non - gauss signal, so we can make use of bi - spectrum to obtain the speech character and separate the speech and noise and detect morse telegraph signal ; complex number spectrum variance algorithm is put forward based on the deeply observing speech data, it is a new algorithm, experiment show that it is simple, effective

    統計演算法在解決周期信號、高能噪聲和高斯信號方面有獨特之處，能簡單有效提取以上噪聲的特徵;雙譜能夠提供比功率譜更多的有用信息，有效地檢測信號幅度之外的其它信息，並能有效抑制高斯噪聲，短時語音信號一般認為是平穩且有一定的周期性的非高斯信號，因而可以利用雙譜來提取語音信號特性並實現信噪分離;復數譜方差演算法是在對語音信號進行深入觀察和分析的基礎上而提出來的一種全新的語音特徵提取方法，此方法簡單而有效的提取了語音、噪聲的特徵以及檢測莫爾斯信號，基於實驗表明，該演算法取得了很好的效果。
  4. Under the condition of " comparatively weak correlation between the two noises involved, coherence function is used as a frequency domain amplification factor for improving snr of the output signal to the filter and the speech enhancement effect. meanwhile, a real - time recursive algorithm is put forward in substitute for current algorithms based on short time fourier transform. the new algorithm will simplify computations and will be suited for real - time implementation together with the adaptive systems

    接著針對上述nanc系統兩路輸入信號噪聲相關性弱的情況，用相干函數作頻域增益因子來提高輸出信噪比與改善語音增強效果，同時，通過一種實時迭代演算法解決了短時傅氏變換計算量大的問題，簡化了計算，便於實時處理與實際應用。
  5. Well, what we used to do is, the name of our boat was " be happy. " so when we would catch a fish the first thing we d do is turn the tape player on and then we d stick the microphone in the tape player and over the microphone and over the radio so all the other boats in the tournament could hear, would be the song, " don t worry

    在有魚上釣時，我們先會啟動錄音機，並把米高峰放在其上，透過錄音機和無線電，所有的艇都能聽見，我們會播出一首歌，就是別擔心，要快樂，實在太好了，在這首歌后，會是一連串的短歌，我們會說這是要快樂號。
  6. The results could be useful for fire alarm system design, which can decrease the visual load, help firefighters ' detection more efficiently, and reduce the casualty

    實驗結果為設計者在消防界面中使用語音信號提供了依據，有助於緩解視覺通道壓力，提高信息獲取的速度和準確性，從而縮短火情偵察的時間與范圍，降低火災傷亡。
  7. Dynamic mapping algorithm is also illustrated in details. through the computer simulation to some real short - time voice signal samples using matlab language. the result shows that the recognition efficiency using cepstrum coefficients mapping is better than what made by lpc mapping

    實驗結果表明，與採用lpc特徵相比，採用lpc倒譜特徵和動態匹配演算法進行短時語音識別，會有較高的識別率；對不同語音信號有特徵空間離散度大、易於確定判別門限的特點。
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