Description: 读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基
频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。
提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音
段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数
转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab
的指令newrbe。-read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab. Platform: |
Size: 4096 |
Author:韦敏 |
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Description: audio codec, includes LPC,The code was tested on male and female speech files recorded using a microphone
on my pc and also tested on the wavefiles of the TIMIT database. The results are
found to be good enough. I have attatched 5 sample wavefiles, on which I have tested
my code. Platform: |
Size: 295936 |
Author:danuder |
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Description: 语音识别中lpc特征提取算法，采用LEVINSON-DURBIN算法，c编程，简单易懂，还包含该算法原理的word详细说明资料。-Lpc speech recognition feature extraction algorithm using LEVINSON-DURBIN algorithm, c programming, easy-to-read, the algorithm also includes detailed information of the word. Platform: |
Size: 43008 |
Author:魏玮 |
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Description: 用MATLAB进行语音识别的特征参数提取，其中包含了lpc和MFCC两种方法，并且测试通过。-Using MATLAB to carry out speech recognition feature extraction, which contains two methods lpc and MFCC, and the test. Platform: |
Size: 6144 |
Author:雪巍 |
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Description: 语音信号中LPC参数的提取，简单用C实现-LPC parameters of speech signal extraction, a simple implementation using C Platform: |
Size: 14336 |
Author:韩磊 |
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Description: 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 Platform: |
Size: 163840 |
Author:lu |
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Description: 语音信号使用lpc线性预测法识别并提取共振峰，共振峰提取技术是语音识别和语音合成的关键。-Using lpc line estimate method identifies and withdraws the resonance in speech signal, the technique of resonance withdraws is the key of the speech understanding and speech synthesis.
Platform: |
Size: 523264 |
Author:王丽 |
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Description: Speech compression using Linear Predictive Coding.
LPC is the oldest and the most basic of modern speech coders. Its a lossy scheme. Playback quality isn t preserved in the process but it can be used in low bit-rate systems. Platform: |
Size: 234496 |
Author:Ed |
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Description: 利用matlab实现语音的lpc特征提取，可以加入语音后直接使用，仿真图中对特征系数、误差等分析清晰有效-Using the lpc matlab voice feature extraction, can be added directly after the speech, the simulation graph of the characteristic coefficient of error so clear and effective Platform: |
Size: 1024 |
Author:wangbo |
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Description: 了解采用计算言语清晰度指数(speech intelligibility index，SI1)实现降噪的新型计算方法
的可行性。方法通过实验室客观测试，比较不同听力损失程度和噪声强度下，开启sll降噪功能的助听器与
传统降噪设置的助听器在频阈和时阈方面输出的不同。结果sll降噪计算有别于助听器的传统降噪，运用该种
降噪方法的助听器其输出增益与使用者的听力损失程度和所处环境噪声强度密切相关，即在噪声强度相同的环
境中，听力损失程度越重，助听器输出增益的减少将越少；并且sll计算方法对环境噪声有较高的敏感度。结
论采用sll计算方法所设计的助听器降噪系统，可根据使用者的听力损失程度以及环境噪声的差异，适时地
调整降噪参数，以保证助听器的参数设置在满足使用者对于增益需求的同时兼具良好的降噪效果。-Objective To understand the rationale of implementing noise attenuation strategy using
speech intelligibility index(SII)．Methods 0bjective measures were employed to compare the outputs in
time and frequency domain at different hearing loss levels and noise intensities for hearing aids with Sll noise
reduction and those with traditional noise reduction technologies．Results W ith Sll algorithm ，the more
severe the hearing loss，the less the gain was reduced；the higher the noise levels，the more the gain reduction
occured．Conclusion The hearing aids with SI I can adjust noise reduction levels acco~ing to the degree of
hearing loss and environmental noise．This will ensure the efective noise reduction and meet the gain
demand of users Platform: |
Size: 245760 |
Author:王华 |
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Description: Speech recognition using LPC and Bank of Filter method, operated in Matlab-Speech recognition using LPC and Bank of Filter method,operated in Matlab Platform: |
Size: 3072 |
Author:sushi |
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Description: The number of states in GMM as the generative model of the frames is obtained using
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC frames collected from
three speech segments are subjected to PCA for dimensionality reduction and are
subjected to k-means algorithm. The total number of frames is equal to the total
number of vectors that are subjected to k-means clustering. Platform: |
Size: 728064 |
Author:Khan17
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Search - speech using lpc