掩蔽音 的英文怎麼說
中文拼音 [yǎnbìyīn]
掩蔽音
英文
masking tone- 掩 : 動詞1 (遮蓋; 掩蔽) cover; hide 2 (關; 合) shut; close 3 [方言] (被卡住) get squeezed [pinch...
- 蔽 : Ⅰ動詞(遮擋; 遮蔽; 蒙蔽) cover; block; hide; shelter; spread over Ⅱ名詞(姓氏) a surname
- 音 : 名詞1. (聲音) sound 2. (消息) news; tidings 3. [物理學] (音質) tone 4. (姓氏) a surname
- 掩蔽 : screen; shelter; cover; mask; blanket; hide; defilade; audio masking; aural masking; ensconce
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The noise occultation was significant, and the undertone was the easiest one to be occulted
噪音對信號的掩蔽作用顯著,其中低音最易被掩蔽。The psychoacoustics and physiology of human beings are the theoretical foundation of virtual sound location research. human ’ s auditory system structure and auditory characteristics are introduced in this paper. these are research foundation for this paper
人類聽覺生理學和心理學是研究虛擬聲定位技術的基礎,本論文回顧了心理聲學相關聽覺系統以及聽覺特性,包括音頻定位因素的影響和哈斯效應,掩蔽效應等因素對多音疊加的影響,為本文奠定了研究基礎。According to the characteristics of the human pronunciation and the speech spectrum distribution in the time - frequency dimension, the paper finds out that there is a shortcoming of the speech enhancement system which is based on the masking properties of human auditory
根據人的發音特點,通過分析語音的語譜在時-頻域的分佈,發現把聽覺掩蔽效應應用於語音增強時存在不足之處。Theoretical expatiate on general concepts and fundamental principles of information hiding and steganography, also point out possible directions for further research, also analysis the probability of speech as the host carry signal and efficient masking characteristics of psycho - acoustic model, it is shown that : there is an improvement on imperceptibility according to human auditory masking effect
闡述了信息隱藏技術和隱寫技術的重要概念、基本理論以及廣闊的應用前景。分析了將語音信號作為宿主載體信號的可行性,參考心理聲學模型的特性,得出結論:基於人耳聽覺掩蔽效應的隱寫演算法,在隱蔽性上有很大的提高。In order to reduce the musical residual noise and the background noise, a speech enhancement method based on masking properties of the human auditory system is described. this method uses bark wavelet packet transform to simulate the frequency feature of human auditory model to get the threshold
本文以最大限度減少殘留噪聲和背景噪聲為目的,採用bark子波分析的方法模擬人耳基底膜的頻率分析特性來進行語音增強,重點進行模擬人耳聽覺掩蔽效應來確定除噪閾值的研究。Research and developmental trend of audio masking effect
音頻掩蔽效應的研究及發展方向Speech enhancement method based on masking properties of the human auditory system is used to reduce the white noise in the front - end
摘要為了提高噪聲環境下說話人識別系統的識別性能,將基於聽覺掩蔽效應的語音增強技術作為預處理器,對語音信號首先進行降噪處理,提高輸入信號的信噪比。3. a variety of speech enchancement algorithms are discussed including wiena filter, spectral subtraction, mmse algorithm and the masking model combined with the spectral subtraction algorithm
3 .系統地研究了多種語音增強演算法,包括基於短時譜分析的維納濾波法、譜減法和mmse演算法,並研究了基於人耳聽覺掩蔽效應的語音增強演算法。Based on the sound distinguishing characteristics of the tinnitus patients, an instrument of tinnitus treating which is combined with the acoustical theory is designed
根據耳鳴患者的辨聲特徵,結合掩蔽音治療耳鳴的聲學原理,完成了耳鳴治療儀的系統設計與實現。This thesis presents a new audio digital watermark algorithm based on has model. the steps : first, it classifies the signals through fft ; second, calculating the tones, noise and the overall masking threshold of different phases through has, and changing the energy value of tones which are more than that of the overall masking threshold to embed the watermark information
提出了一種基於人類聽覺系統( has )模型的音頻數字水印演算法,該演算法首先對信號進行分段離散快速傅立葉變換( fft ) ,再根據人類聽覺系統模型計算出各段的類純音、類噪音以及各段的總體掩蔽閾值,通過改變大於總體遮蔽閾值的類純音的能量值來嵌入水印信息。We focused on the difference of auditory perception between chinese and english, and studied the releasing effect of perceived spatial separation on informational masking, the relationship between the speech similarity and informational masking
本研究重點探討知覺性空間分離對信息掩蔽的釋放作用,語音信息相似性與信息掩蔽之間的關系。The quantized lp coefficients are replaced by the unquantized lp coefficients in the frequency domain expression of the feel weighted filter. the error signal has more similar envelope shape, and the hearing effect is better than before because the unquantized lp coefficients have more accuracy than quantized lp coefficients
由於未量化的線性預測系數具有更高的精度,因此,誤差信號通過修正後的感覺加權濾波器以後,具有與語音信號譜更加相似的包絡形狀,從而更好地利用共振峰對誤差的掩蔽效應,達到更佳的主觀聽覺效果。1. speech enhancement method based on masking properties of the human auditory system is described. in this paper, a threshold is got through simulating the frequency of human auditory in order to reduce the musical residual noise and the background noise
在閾值法除噪中閾值確定是極為重要的環節,本文模擬人耳聽覺掩蔽效應來確定閾值大小,以有效的掩蔽殘留的音樂噪聲和最大限度的保留語音。In addition, a sophisticated mechanism derived from dwt coding is introduced to take into account several hvs phenomena such as gray - level sensitivity, noise sensibility around edges and isofrequency and nonisofrequency masking
另外,引入了一個由dwt編碼而來的復雜的機理來考慮幾個hvs現象如灰度級敏感度、邊緣噪音敏感度和頻率掩蔽。Compared with the lsb algorithm, the robustness of this algorithm is stronger ; compared with the echo hiding algorithm, the detection watermarking of this algorithm is easier, the calculation is simpler ; compared with the time - domain algorithm based on psychoacoustic masking, the calculation complexity is relatively low, the transparency does not rely on experience value, and the embedding amount is larger
與lsb演算法相比,該演算法具有較強的健壯性;與回聲演算法相比,該演算法檢測水印容易,計算簡單;與基於心理學掩蔽模型時域演算法相比,該演算法計算簡單,透明性不依賴經驗值系數,且嵌入量大。基於振幅比較的數字音頻水印(機密信息)隱藏演算法。分享友人