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【Bio-Recognize】 LPC DL : 0: lpc计算。杜宾算法计算的LPC，利用此参数可进一不计算出LPCC。-LPC calculation. Durbin algorithm of LPC, the use of this parameter can not be calculated into one LPCC.
Update : 2024-05-03 Size : 3072 Publisher : 来来
【Speech/Voice recognition/combine】 exp_3 DL : 0: 利用杜宾算法求lpcc系数，非常有用-Durbin algorithm for the use of lpcc coefficient, very useful
Update : 2024-05-03 Size : 1231872 Publisher : wangwei
【Industry research】 MFCCcanshu DL : 0: 6篇有关语音识别特征参数的科技论文，主要包括MFCC参数LPCC参数以及小波应用于特征提取的研究-6 on the speech recognition feature parameters of scientific papers, including MFCC parameters LPCC parameters and wavelet feature extraction applied to the study
Update : 2024-05-03 Size : 863232 Publisher : 刘雅琴
【Speech/Voice recognition/combine】 vq DL : 0: 使用lpcc参数的vq算法，vq为主函数，lpcc是提取线性倒谱系数-The use of the VQ algorithm lpcc parameters, vq-based function, lpcc is the extraction of linear cepstrum coefficients
Update : 2024-05-03 Size : 2048 Publisher : cao
【Speech/Voice recognition/combine】 LPCCandMFCCzang DL : 0: 基于LPCC和MFCC的藏语语音端点检测算法-method of lpcc and mfcc for the edge detection of Zang language
Update : 2024-05-03 Size : 311296 Publisher : shenhao
【Editor】 lpcc DL : 0: 线性预测这一术语是维纳于1947年首次提出的，此后，线性预测应用于许多领域中。1967年，办仓等人最先将线性预测技术应用到语音分析和合成中。-Linear predictive analysis is one of the most effective analysis t echnology of speech,it is widely applies in the domain of speech processing,such as specch synthesis,speech reconition,speaker reconition,and so on.
Update : 2024-05-03 Size : 2048 Publisher : 陈猪猪
【matlab】 testdata DL : 0: LPCC FUNCTION matlab and signal processing toolbox for the lpc function
Update : 2024-05-03 Size : 5120 Publisher : fahmi
【Speech/Voice recognition/combine】 lpc DL : 0: 功能：计算lpc系数由lpc得到lpcc，对模板参数和样本参数进行dtw比较 -Function: lpc coefficient calculated by the lpc be lpcc, samples of the template parameters and parameters of Comparative dtw
Update : 2024-05-03 Size : 1024 Publisher : 王文姝
【Speech/Voice recognition/combine】 YuYinTeZhengTiQu DL : 0: 语音特征参数提取方法研究(lpcc,mfcc)-Speech feature extraction method. Pdf
Update : 2024-05-03 Size : 2423808 Publisher : yuanjiaxing
【matlab】 97288435Speech_signal_short_time_analysis DL : 0: 关于双门限法的语音端点检测，及其量化和LPCC算法及倒谱参数的计算-limit on the two-door method of voice endpoint detection, and quantification and LPCC algorithm and Cepstrum calculations.
Update : 2024-05-03 Size : 6144 Publisher : 杨开开
【Multimedia program】 figureextract DL : 0: matlab环境下计算MFCC参数（mel倒谱参数），lpcc参数（线性预测倒谱）和pitch（基因）-calculate mfcc lpcc pitch
Update : 2024-05-03 Size : 1024 Publisher : michael
【Speech/Voice recognition/combine】 yuyingshibie DL : 0: matlab实现的很有用的语音识别源代码，包括MFCC，LPCC，DTW，Mel滤波器，端点检测等程序的实现。-Useful code of audio recognization writed by matlab, inclucing MFCC, LPCC, DTW, Mel Filter, Port Detection etc.
Update : 2024-05-03 Size : 10240 Publisher : 郑豪
【Speech/Voice recognition/combine】 lpcc DL : 0: Update : 2024-05-03 Size : 1024 Publisher : hansen
【Speech/Voice recognition/combine】 my_lpc DL : 0: 线性预测（LPC）是语音信号处理中最有效的分析方法之一，通过LPC谱，LPCC谱的分析，并结合LPC检测方法判断出语音的基音周期或共振峰。我们可以利用Matlab来进行编程实现，具有实现简单，效果良好的特点-The linear predictive (LPC) is one of the most important methods in speech processing. Through the LPC spectrum, the LPCC spectrum analysis, and unifies the LPC examination method to judge the Pitch Period. We may carry on the programming realization using Matlab, has the realization to be simple, effect good characteristic
Update : 2024-05-03 Size : 163840 Publisher : lu
【Technology Management】 Research_0n_Speech_Cepstral_Features DL : 0: 该文在研究基于线性预测倒谱和非线性MEL刻度倒谱特征的基础上，研究了LPCC和MFCC参数提取的算法原理及提取算法，提出了一级、二级差分倒谱特征参数的提取算法。识别实验验证了MFCC参数的鲁棒性优于LPCC参数。-In this paper, research is based on linear prediction and nonlinear MEL Cepstrum Cepstrum scale, based on studies of LPCC and MFCC parameter extraction algorithm for principle and extraction algorithm is proposed a secondary characteristic parameters of differential cepstrum extraction algorithm. Recognition experiment results verify the robustness of MFCC parameters is superior to LPCC parameters.
Update : 2024-05-03 Size : 147456 Publisher : Decheng Yu
【Speech/Voice recognition/combine】 2028 DL : 0: OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik S-OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik SMM
Update : 2024-05-03 Size : 1241088 Publisher : strike
【Speech/Voice recognition/combine】 LPCC DL : 0: Update : 2024-05-03 Size : 956416 Publisher : 霍文健
【Speech/Voice recognition/combine】 yiuyinchuli DL : 0: 包含语音端点检测、基本语音处理算法MFCC、LPCC等，具有较高参考价值-Including voice activity detection, basic voice processing algorithms MFCC, LPCC, etc., with high reference value
Update : 2024-05-03 Size : 6144 Publisher : lanyuna
【DSP program】 lpcc DL : 0: 实现将lpc转换为lpcc系数用于dsp语音识别-Implementation will be converted to lpcc lpc coefficients for speech recognition dsp
Update : 2024-05-03 Size : 1024 Publisher : lxdong
【Speech/Voice recognition/combine】 Speechrecognitiontechnology DL : 0: 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 technologies. Endpoint Detection: Based on the average short-term energy and zero crossing rate short-term endpoint detection Cepstrum-based endpoint detection feature extraction: LPCC and MFCC parameter template is stored: HMM and N_Gram recognition phase: DWT-related technologies offer the various stages of described in detail, is absolutely a good thing!
Update : 2024-05-03 Size : 8296448 Publisher : 断剑

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