Search - speech using lpc

Search - speech using lpc - List

[matlab] weimin DL : 0: 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.
Update : 2025-02-19 Size : 4kb Publisher : 韦敏
[Audio program] LPC_fin DL : 0: 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.
Update : 2025-02-19 Size : 289kb Publisher : danuder
[Speech/Voice recognition/combine] LD DL : 0: 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.
Update : 2025-02-19 Size : 42kb Publisher : 魏玮
[Speech/Voice recognition/combine] MATLAByysb DL : 0: 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.
Update : 2025-02-19 Size : 6kb Publisher : 雪巍
[Speech/Voice recognition/combine] LPC DL : 0: 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
Update : 2025-02-19 Size : 14kb Publisher : 韩磊
[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 : 2025-02-19 Size : 160kb Publisher : lu
[Windows Develop] ECEASS6 DL : 0: it reconstructs the speech signal using LPC approach
Update : 2025-02-19 Size : 240kb Publisher : ramnik
[Other] F0F1F2F3 DL : 0: 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.
Update : 2025-02-19 Size : 511kb Publisher : 王丽
[Speech/Voice recognition/combine] SpeechCompressionUsingLinearPredictiveCoding DL : 0: 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.
Update : 2025-02-19 Size : 229kb Publisher : Ed
[matlab] lpc DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : wangbo
[Other] objective_measure_of_the_noise_reduction_algorithm DL : 0: 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
Update : 2025-02-19 Size : 240kb Publisher : 王华
[File Format] speech DL : 0: 运用matlab仿真实现语音增强和噪声消除的功能-Matlab simulation using voice enhancement and noise reduction features
Update : 2025-02-19 Size : 5kb Publisher : ywj7891
[matlab] speechrecognitionUsingLPCandBOF DL : 0: Speech recognition using LPC and Bank of Filter method, operated in Matlab-Speech recognition using LPC and Bank of Filter method,operated in Matlab
Update : 2025-02-19 Size : 3kb Publisher : sushi
[matlab] files DL : 0: Analysis of speech using LPC method
Update : 2025-02-19 Size : 1kb Publisher : prachi
[matlab] LPC DL : 0: 利用matlab编程实现LPC谱与语音频谱的比较。- LPC spectrum using matlab programming comparison with the speech spectrum
Update : 2025-02-19 Size : 1kb Publisher : qianshike
[Other] Preprocessing-of-Speech-signal-using-LPC-and-Enha DL : 0: Preprocessing of Speech signal using LPC and Enhancing using wiener filter
Update : 2025-02-19 Size : 555kb Publisher : ali omer
[matlab] MATLAB-LPC DL : 0: MATLAB code for speech recognition using LPC
Update : 2025-02-19 Size : 199kb Publisher : su
[Speech/Voice recognition/combine] Speech recognition using mfcc and lpc DL : 0: Speech recognition using mfcc and lpc in matlab
Update : 2025-02-19 Size : 19.14mb Publisher : User123
[Speech/Voice recognition/combine] Speech Processing Analysis - MATLAB DL : 0: 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.
Update : 2025-02-19 Size : 711kb Publisher : Khan17
[Other] LCP Analysis DL : 0: speech recognition using LPC
Update : 2025-02-19 Size : 21kb Publisher : abo_osamah

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