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duanshipingjunnengliang
- 语音信号处理的短时平均能量的算法 呵呵，很不错的算法-speech signal processing an average of the short-term energy-huh algorithm, the algorithm is pretty good
speech
- 语音参数短时能量，短时过零率，短时平均幅度，语音端点检测，fft变换与反变换-Voice parameters of short-time energy, short-time zero-crossing rate, short-term average rate, voice activity detection, fft transform and inverse transform
duanshipingjunnengliang
- 短时平均能量和平均幅度差函数进行基音检测的方法-Short-term average energy and average magnitude difference function pitch detection method
ddjc
- 利用短时平均能量和短时平均过零率，对语音信号进行端点检测-Average energy use of short-term and short-time average zero-crossing rate, speech endpoint detection signal
ImprovedDTWAlgorithmInRealtimeSpeaker
- 识别正确率和抗噪性能是语音识别的研究重点，而识别响应速度也是决定系统实用化的关键 文章改进了传统的动态时间弯折算 法结构，将其应用于实时说话人辨识系统中，极大地提高了系统运行速度，随着待识别语音数目的增多，该算法优势更加明显 实验表明， 在不影响系统识别率的情况下，该方法使系统的运行速度平均提高了1.5 倍-Identify the correct rate and the anti-noise performance is the focus of speech recognition
CAMDF
- 语音信号处理中基音周期的提取算法。运用循环的平均幅度差分法实现的。-Speech signal processing algorithm for pitch period extraction. The average rate of use of cyclic difference method realized.
yuyin
- 时域波形、短时能量、短时平均幅度、短时过零率、短时过电平率-Time-domain waveform, short-term energy, short-term average rate, short-term zero crossing rate, short-term rates over Level
Speechrecognitiontechnology
- 比较详尽的介绍了语音识别系统的实现过程，以及相关技术。 端点检测：基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测 特征参数提取：LPCC和MFCC 参数模板存储：HMM和N_Gram 识别阶段：DWT 各阶段的相关技术都给了详细的介绍，绝对是好东西！-More detailed introduction to the speech recognition system implementation process and related technologie
jaeho
- These marks, obtained by listening to several speech sequences, are then used to calculate average results for each of the features listed above, thus providing a global estimate of the behavior of the VAD being tested. To conclude, whereas objective
duandianjiance
- 利用短时平均能量和平均过零率相结合的方法，实现端点检测的一种方法。-Use short average energy and average zero rate combination of methods, realize the endpoint detection a method.
score_tradeoff
- 计算说话人识别系统的全局EER，DCF和平均EER，DCF-Calculation of the overall situation of the speaker recognition system the EER, DCF and average EER, DCF
equinox-srepm_V1
- 计算说话人识别系统的全局EER和DCF，以及平均的EER，DCF-Calculation of the overall situation of the speaker recognition system EER and DCF, and average EER, DCF,
ACFandAMDFpitch
- 短时自相关和短时平均幅度差计算基音周期的matlab程序，附带有原语音信号-Short-term autocorrelation and short-term average deviation of pitch period matlab program, comes with the original speech signal
yuyin
- 语音信号的时域、频域分析,包括短时能量分析、短时平均过零率、自相关函数、短时平均幅度差函数等。-Time-domain speech signal, frequency domain analysis, including short-term energy analysis, the average short-term zero-crossing rate, autocorrelation function, such as short-time average magnitude diff
endpoint-detection
- 基于短时能量和短时平均过零率的语音信号的端点检测程序-Endpoint detection procedures based on short-term energy and zero-crossing rate of the average voice signal
jiyinzhouqi
- 利用短时自相关分析的方法先求得基音周期，同时画出此时的基音周期走势图；然后对超出基音周期均值的1/5的基音周期点进行去除，再利用中值平滑方法剔除野点，同时对剔除野点后的基音周期点进行绘图，同时求得平均的基音周期。文件中附带实验语音，可验证。-By using the method of short time autocorrelation analysis first pitch is obtained, at the same time draw the pitch at this time
test_weig
- code for image fusion using steerable transform using weighted average rule
test2_adaptive_noisy
- code for image fusion using steerable transform using adaptive weighted average rule
Untitled2
- 语音信号是一种非平稳的时变信号，提取的特征参数短时平均过零率-Voice signal is a non-stationary time-varying signal, the extracted characteristic parameter time average zero-crossing rate
matlab
- 语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等(The short-time analysis of speech signal mainly includes: frame, short-time energy, short time average amplitude, short-time zero crossing rate, short-time autocorrelation functio