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Digital_Signal_Processing_Fundamentals_and_Applic
- Digital_Signal_Processing_Fundamentals_and_Applications This book introduces concepts of digital signal processing (DSP) and reviews an overall picture of its applications. Illustrative application examples include digital noise filtering, signal f
matlabfangzhen
- 周期信号频谱分析，数字滤波器设计，语音信号的处理-Spectral analysis of periodic signals, the digital filter design, and the processing of the speech signal
hmm-tutorial
- The Hidden Markov Model (HMM) is a popular statistical tool for modelling a wide range of time series data. In the context of natural language processing(NLP), HMMs have been applied with great success to problems such as part-of-speech tagging a
matlab
- 使用matlab编写的语音信号处理程序，全套程序都有，可以出结果-Prepared using matlab speech signal processing procedures, has a full set of procedures, results
matlab
- 语音信号进行分析、处理和设计。用MATLAB做变声器的原理是通过改变输入声音频率，进而改变声音的音色、音调，使输出声音在感官上与原声音不同。变声器是借助对声音音色和音调的双重复合改变，实现输出声音的改变。通过自己发声，共振峰频率的改变是基于重采样实现的-Speech signal analysis, processing and design. MATLAB do voice-changer works by changing the input frequency of the sound,
voise
- 语音信号进行分析、处理和设计。用MATLAB做变声器的原理是通过改变输入声音频率，进而改变声音的音色、音调，使输出声音在感官上与原声音不同。变声器是借助对声音音色和音调的双重复合改变，实现输出声音的改变。通过自己发声，共振峰频率的改变是基于重采样实现的-Speech signal analysis, processing and design. MATLAB do voice-changer works by changing the input frequency of the sound,
paper6
- 压缩感知理论在语音信号处理中的应用.pdf-Compressed sensing theory in speech signal processing applications. Pdf
Transfer_exercises_05.26.01
- 离散时间语音信号处理--原理与应用 相关matlab文件-Discrete-Time Speech Signal Processing:Principles and Practice
Transfer_exercises_for_matlab
- 离散时间语音信号处理--原理与应用 相关matlab文件-Discrete-Time Speech Signal Processing:Principles and Practice
PCA
- 针对稀疏表示识别方法需要大量样本训练过完备字典且特征冗余度较高的问题，提出了结合过完备字典学习与PCA降维的小样本语音情感识别算法.该方法首先用PCA降维方法将特征降维，再将处理后的特征用于过完备字典训练与稀疏表示识别方法，从而给出了语音情感特征的稀疏表示方法，并确定了新算法的具体步骤.为验证其有效性，在同等特征维数下，将方法与BP, SVM进行比较，并对比、分析语音情感特征稀疏化前后对语音情感识别率、时间效率以及空间效率的影响.试验结果表明，所提出方法的识别率比SVM与BP高 与采用稀疏化前的
functions
- 语音信号处理的一些函数，包括短时谱、自相关、短时能量、过零率等-Some functions of speech signal processing, including short-term spectrum, autocorrelation, short-term energy, zero-crossing rate, etc.
yuyinxinhaochuli
- 关于语音信号处理的书，详细介绍了语音信号处理中的各种知识，开发过程等-Books on speech signal processing, speech signal processing described in detail in a variety of knowledge, the development process, etc.
program-code
- 语音信号处理，均衡播放，说话者语音识别，加速播放以及回音音效-Speech signal processing, balanced play, speaker voice recognition, accelerated playback as well as echo sound
4413sipij08_2
- FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of usin
ondelette
- Signal processing front end for extracting the feature set is an important stage in any speech recognition system. The optimum feature set is still not yet decided. There are many types of features, which are derived differently and have good
su
- 利用双线性变换法设计一个级联型的椭圆IIR滤波器，对一段含噪语音信号进行滤波去噪处理并根据滤波前后的波形和频谱分析滤波性能。本课程设计仿真平台为MATLAB7.0，开发工具是M语言编程。首先在Windows下用录音机工具录制一段语音信号，并人为加入一单频噪声，然后对信号进行频谱分析以确定所加噪声频率，并设计滤波器进行滤波去噪处理，最后比较滤波前后的波形和频谱并进行分析。-Bilinear transformation method is used to design a cascade elli
xj
- 软硬阈值的语音增强处理，可直接运行出结果，可做语音增强算法参考-Hard and soft threshold speech enhancement processing, can be run directly the results, can be reference for speech enhancement algorithm
HMMallTOOL
- 马尔科夫工具箱是一种统计模型，广泛应用在语音识别，词性自动标注，音字转换，概率文法等各个自然语言处理等应用领域。经过长期发展，尤其是在语音识别中的成功应用，使它成为一种通用的统计工具。-Markov models (Markov Model) is a statistical model, widely used in speech recognition, speech automatic annotation, audio and character conversion, the prob
2
- 语音信号处理是研究数字信号处理技术和语音学知识对语音信号进行处理的新兴学科，是目前发展最为迅速的信息科学研究领域的核心技术之一。本文采用Matlab7.0综合运用GUI界面设计，各种函数调用等对语音信号进行采集、提取、变频、变幅，傅里叶变换、滤波等简单处理。程序界面简练，操作简便，具有一定的实际应用意义。-Speech signal processing is the study of digital signal processing technology and knowledge of p
nearend
- A speech pre-processing algorithm is presented that improves the speech intelligibility in noise for the near-end listener.-A speech pre-processing algorithm is presented that improves the speech intelligibility in noise for the near-e