speech distortion 中文意思是什麼

speech distortion 解釋
言語失真
  • speech : n. 1. 言語；說話；談話；說話能力（或方式）。2. 民族語言，方言，專門語言；〈罕用語〉流言。3. 演說，演講；發言。4. 【語言學】詞（類）；引語；用語。5. （樂器的）音，音色。
  • distortion : n. 1. 歪扭，扭曲。2. 【電學】（信號、波形等的）失真；【物理學】（透鏡成像產生的）畸變；【醫學】扭轉，變形。3. 竄改，歪曲，曲解。adj. -al
  1. Computer simulation results show that the proposed algorithm reduces the signal distortion and the reverberation which are caused by misadjustment errors in the adaptive filter and the correlated component of the speech in the reference signal compared with a conventional adaptive noise canceller ( anc )

    模擬結果證明nanc演算法有效克服了影響傳統自適應噪聲抵消系統（ anc ）性能的一些瓶頸，如兩輸入中的非相關噪聲，參考輸入中的信號成分與自適應濾波器失調誤差而產生的信號失真、回響等情況。
  2. In signal space, speech enhancement is adopted to effectively suppress the noise and increase the discriminative information embedded in noisy speech signal. however, the speech distortion introduced by enhancement, as well as the residual noise, is a very adverse factor for recognition

    在信號空間，利用語音增強有效抑制噪聲，提高輸入信號中的鑒別信息，但增強帶來的語音失真和增強后的剩餘噪聲是對語音識別非常不利的因素。
  3. It can be concluded after analysis that the speech distortion and the residual noise can be approximately regarded as multiplicative noise and additive noise, respectively. thus, we use a parallel model combination ( pmc ) algorithm, which is deployed in model space, to adapt the parameters of speech models to compensate the residual noise, or we use a cepstral mean normalization ( cmn ) algorithm in feature space to compensate both the speech distortion and the residual noise

    分析表明，語音失真和剩餘噪聲可近似看作乘性噪聲和加性噪聲，因此可在模型空間利用并行模型合併（ pmc ）演算法通過調整模型參數對剩餘噪聲進行補償，或者在特徵空間利用倒譜均值歸一化（ cmn ）演算法對語音失真和剩餘噪聲同時進行補償。
  4. This paper proposes a new adaptive noise canceller ( nanc ) with low signal distortion for speech enhancement after presenting an overview, in a unified perspective, for a number of the speech enhancement algorithms

    論文首先介紹了各種語音增強演算法。然後，重點提出了一種低信號失真的新的自適應噪聲抵消（ nanc ）語音增強演算法。
  5. Lsp parameters are quantized by multi - stage vq with fourth - order interframe ma prediction. this scheme has little spectrum distortion, even if the two types of speech have many variations of lsp parameters

    並對涉及到的語音處理的關鍵技術，如線性預測、 lpc與lsp的轉換、矢量量化、基音分析等技術作了深入研究。
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