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Description: classification algorithm among Unvoiced/voiced speech and silence
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Size: 622592 |
Author: JP |
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Description: dereverberator code for matlab using voiced-unvoiced classification of speech signals
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Size: 6144 |
Author: clase |
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Description: Separation of voiced and unvoiced portions using Zero crossing rate ans energy
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Size: 210944 |
Author: pravin |
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Description: 自相关虽然能够判断清/浊音，并估计浊音的基音周期，但是其运算量很大，用乘法运算所需时间较长。为了避免乘法，采用短时平均幅度差函数（AMDF），验证AMDF与自相关有类似的作用，即平均幅度差函数能够代替自相关函数进行语音分析。-Although autocorrelation can differ from the Voiced/Unvoiced and voiced the pitch period estimate, but the operation is large enough, with the multiplication time was needed. In order to avoid the multiplication using the short time average magnitude difference function (AMDF), verify the AMDF and autocorrelation have a similar effect, that the average magnitude difference function can replace the voice of the autocorrelation function.
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Size: 20480 |
Author: 吴艳花 |
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Description: 使用Matlab去LOCATE语音信号，尤其是UNVOICED的语音信号-how to locate the beginning and end of the speech, especially when the signal start from the unvoiced character
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Size: 5120 |
Author: qiubin |
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Description: Usually, speaker recognition systems do not take into account the short–term dependence between the vocal source and the vocal tract. A feasibility study that retains this dependence is presented here. A model of joint probability functions of the pitch and the feature vectors is proposed. Three strategies are designed and compared for all female speakers taken from the SPIDRE corpus.
The fi rst operates on all voiced and unvoiced speech segments (baseline strategy). The second strategy considers only the voiced speech segments and the last includes the short–term pitch information along with the standard MFCC. We use two pattern recognizers: LVQ–SLP and GMM. In all cases, we observe an increase in the identifi cation rates and more specifi cally when using a time duration of 500 ms (6 higher).-Usually, speaker recognition systems do not take into account the short–term dependence between the vocal source and the vocal tract. A feasibility study that retains this dependence is presented here. A model of joint probability functions of the pitch and the feature vectors is proposed. Three strategies are designed and compared for all female speakers taken from the SPIDRE corpus.
The fi rst operates on all voiced and unvoiced speech segments (baseline strategy). The second strategy considers only the voiced speech segments and the last includes the short–term pitch information along with the standard MFCC. We use two pattern recognizers: LVQ–SLP and GMM. In all cases, we observe an increase in the identifi cation rates and more specifi cally when using a time duration of 500 ms (6 higher).
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Size: 93184 |
Author: morteza |
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Description: Wavelet based voiced/unvoiced classification algorithm
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Size: 1196032 |
Author: sara |
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Description: 用matlab实现对语音信号的短时分析，包括清音和浊音的判决，基音周期的估计，实验报告。-use matlab language analysis the speech signal,contains the analysis for unvoiced sound and voiecd sound.
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Size: 589824 |
Author: 吴贤音 |
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Description: 语音信号处理短时分析的实验以实验报告，处理有语音信号的短时幅值、自相关函数、短时能量和分辨清音和浊音-The analysis of the short speech signal processing experiments to test report, with the short speech signal amplitude, the autocorrelation function, short-term energy and distinguish the voiced and unvoiced speech
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Size: 778240 |
Author: xiaoxiami365 |
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Description: 基于matlab软件,的语音清音帧和浊音帧进行线性分析。-Based on the MATLAB software,on speech unvoiced frames and voiced frame using linear prediction analysis,respectively.
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Size: 1024 |
Author: 王涛 |
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Description: Matlab code for doing Voiced Unvoiced and Silence Classification in a speech signal
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Size: 4096 |
Author: Parvathy |
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Description: 对语音清音和浊音的区别，主要利用的是矩形窗，自相关处理-Voice unvoiced and voiced distinction, the main advantage is that the rectangular window, the autocorrelation processing
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Size: 3072 |
Author: 徐吴 |
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Description: end point detection or silence removal i.e to remove voiced or unvoiced speech
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Size: 1024 |
Author: aaron |
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Description: 实现清音与浊音的频谱分析，通过加不同窗，分析清音和浊音频谱变化-Unvoiced and voiced spectral analysis, analysis of unvoiced and voiced spectral variation, by adding different window
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Size: 1024 |
Author: 李希 |
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Description: separates the voiced and unvoiced portion and performs STFT
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Size: 88064 |
Author: Kriti Chhabra |
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Description: Description: Find the voicing factors (1 = voice to -1 = unvoiced).
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Size: 1024 |
Author: duenenye |
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Description: 一个基于遗传算法与mp的外文文献，讲的很清楚明了，有参考价值-VOICED/UNVOICED SPEECH DISCRIMINATION IN NOISE USING GABORATOMIC DECOMPOSITION
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Size: 59392 |
Author: 王一 |
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Description: VOICE UNVOICED SILENCE PITCH MARKING-VOICE UNVOICED SILENCE PITCH MARKING
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Size: 3072 |
Author: GWMSART BASUMATARY |
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Description: 一篇介绍非语音检测算法的文章，不妨-Introduce a non-voice detection algorithm article
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Size: 105472 |
Author: 梁sir |
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Description: to find zero crossing rate of speech signal to distinguish between voiced and unvoiced signal
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Size: 258048 |
Author: preet |
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