speech noises 中文意思是什麼
speech noises
解釋
言語噪聲-
Because the speech signal is periodicity at sonant which vocal cords surge in low frequency and similarity to white noises at surd, the pitch can be detected in traditional way through the correlation operation without the speech produce model
在人類語音的濁音段，聲帶發生較低頻率的振蕩，語音信號呈明顯的準周期性，而在清音段，語音信號則類似於白噪聲。 -
Experimental results in different noises and snr indicated that this vad algorithm can divide speech segments from non - speech segments accurately and reduce voiced - unvoiced error obviously. ( 2 ) an improved dct - hn speech decomposition algorithm based on the harmonic - noise model is presented
不同噪聲、信噪比下的實驗結果表明，該演算法可以準確區分語音段與非語音段，明顯降低了基音檢測中清濁誤判現象的發生; （ 2 ）基於「諧波-噪聲」模型提出了一種改進的dct - hn語音分解演算法。 -
As a result, interest rate is the lest sensitive factor, the speech of relative power man is the most sensitive factor, and behavior of the leader shares or problem shares of the market are important as well. also ways which are used to assist regulators make decisions and evaluate what have been always made are put forward, that are single apex of time series probability cut and chaotic degree. the two ways are demonstrated through index data from which information noises are cut out
本文提出信息噪聲的概念，通過統計中國股市歷年來影響股市波動的重要政策、公司信息，進行信息的分類、統計整理，並按各類信息對股市影響力的大小排序，得出利息率是股指的最不敏感因素，股市相關政要的講話是股指的最敏感因素，個股特別是問題股和龍頭股的表現對股指的波動有重要影響的結論，供股市政策決策參考。 -
As the pitch doubling and halving problems of nccf algorithm often occurred with varied noises and signal to noise ratio ( snr ), vad algorithm is employed to separate speech and non - speech segments
針對nccf基音檢測演算法在不同噪聲、信噪比下容易發生清濁誤判的問題，本文在基音檢測前端引入語音檢測演算法劃分語音段與非語音段。 -
Owing to the peculiarity of mandarin spoken language, the recognizer adopts the sonic model based on hmm, the mixed statistical language model based on both phrases and phrase class. moreover, it makes use of word tree viterbi - beam searching guided by language model and the sylable - filling model. a method of speech identifying and denying is used in the processing of vocabulary out of collecting, non - speech and noises
針對漢語口語的特點，識別器採用了基於hmm的聲學模型，基於詞和基於詞類的混合統計語言模型，及由語言模型引導的詞樹viterbi - beam搜索，並且採用基於音節的填充模型、話語確認和拒識等方法對集外詞、非語聲和噪音進行處理。 -
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。 -
Signal estimation theory for discrete stochastic systems with multiplicative noises ( smn ) is very important in many applications such as oil seismic exploration, underwater remote targets detection and speech signal processing
帶乘性噪聲系統的最優估計理論在石油地震勘探、水下目標探測、語音處理等諸多領域都有重要的應用價值。
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