speaker noise 中文意思是什麼
speaker noise
解釋
喇叭雜音-
There is hum or noise in the speaker output
揚聲器輸出聲帶嗡嗡聲或雜音。 -
In the thesis, we select the mel - frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal. mel cepstrum is of better recognition and anti - noise capability. ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition
（ 2 ）現有的說話人識別方法有動態時間規整法、矢量量化法、隱馬爾可夫模型和神經網路法等，其中hmm已成為目前最佳的說話人識別處理模型。 -
The analysis of the relative importance of components of mfcc for both speech recognition and speaker recognition using dtw recognizer in various noise environments are given. for english digit and under the euclidean distance definition, the experiment results show cepstral components from
採用增減特徵分量的方法研究了mfcc各維倒譜分量對說話人識別和語音識別的貢獻。使用dtw測度，在標準英文數字語音庫上的實驗表明，最有用的語音信息包含在mfcc分量 -
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。 -
The paper involves two parts of closed - set text - independent speaker identification systems in noise. firstly, the paper introduces shortcomings of the parameters, such as lpcc, mfcc etc. so sub - band energy cepstral feature parameters based on multi - rate sub - band processing and teager energy operator are described. while the paper discusses the use of rayleigh cepstral liftering to weigh sub - band cepstral coefficients so as to emphasize speaker personality information
首先本文介紹了各種特徵提取的方法，如lpcc 、 mfcc等，在分析了它們的缺點的基礎上，本文根據人耳頻率子帶獨立識別的特性和能量運算元，提出了子帶能量倒譜特徵參數，並用提出的瑞利倒譜提升進行加權，突出說話人的個性信息。 -
Research on noise compensation for text - independent speaker identification
噪聲補償應用於與文本無關的說話人辨認研究 -
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。 -
Be sure to tighten the screws of the speaker terminals securely as loose screws may become a source of noise
一定請系緊揚聲器端子的螺釘。因為螺釘鬆了，可能發生噪聲。 -
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。 -
There ' s so much noise in the meeting room that i can ' t hear the speaker clearly
會議室里的噪音太大，我聽不清演講者的發言。 -
The noise produced by the outside speaker radiates into the enclosure through the vibration of the flexible panel. and via the piezoceramic ( pzt - 5h ) actuator and piezoelectricity diaphragm ( pvdf ) sensor located on the flexible panel to realize the active control
由外部揚聲器產生的噪聲通過柔性墻的振動進入閉合空間內部，並通過粘合在柔性墻上的壓電陶瓷（ pzt ）致動器和壓電薄膜（ pvdf ）傳感器來實現主動控制。 -
Experimental results show that the performance of speaker recognition system is improved with the processed speech signal in the noise environments
實驗證明，經過降噪處理的語音信號送入說話人識別系統，提高了系統的識別險能。
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