Description: 语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱，即可达到语音增强的目的。由于噪声也是随机过程，因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性，这类语音增强算法主要针对短时谱的幅度估计。
-voice signals in the frequency domain processing, voice is a time-varying, nonstationary random process. But in a short period of time can be approximated as smooth. So if Noisy Speech from the short-term spectrum estimate "pure" voice of the short-term spectrum, and reached speech enhancement purposes. As the noise is random process, which can only be estimated based on statistical models based on. Use ear perception of voice spectrum component of the phase sensitive to the characteristics of such speech enhancement algorithms targeted at the rate of short-term spectral estimation. Platform: |
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Author:罗飞 |
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Description: 语音合成程序！psalo频域基音同步叠加方法。它首先对原始语音信号进行短时频域变换，得到短时谱和短时谱包络。短时谱除以短时谱包络得到声源短时谱，对声源短时谱的实部和虚部分别进行线性插值，就可以达到改变语音信号基频的目的，然后再进行频域反变换，可得到变换后的短时语音信号。短时谱包络部分也可以独立改变，以达到改变音色的目的。-speech synthesis procedures! Psalo frequency domain pitch synchronous superposition method. It is first of the original speech signal for short-time frequency domain transform, to be short-term and short-term spectral envelope spectrum. Short-term spectrum divided by the short-time spectral envelope of the sound source to be short-term spectrum of the sound spectrum of short-term real and imaginary parts of linear interpolation, they could change the voice-frequency signals to the end, then we will proceed to frequency-domain transform, Transform available after the short speech signal. Short-term spectral envelope can be independent of changes to achieve the objective of changing colors. Platform: |
Size: 2048 |
Author:hzh |
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Description: 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
绝对保证质量，是保研后导师布置的一些基础程序-Short-time speech signal analysis, mainly including: sub-frame, short-time energy, short-term average, short-time zero-crossing rate, short-time auto-correlation function, short-term rate of poor cepstrum, complex cepstrum, lpc coefficients, lpc spectral estimation, such as an absolute guarantee that the quality of instructors is the security arrangement after the inquest some of the basis of procedures Platform: |
Size: 6144 |
Author:云鹏 |
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Description: 基于matlab语音短时频谱分析，到谱分析，语谱图分析及结果-Matlab voice-based short-time spectral analysis, the spectral analysis, spectrum analysis and the results of language Platform: |
Size: 46080 |
Author:吴燕燕 |
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Description: 倒谱分析 倒谱分析是指信号短时振幅谱的对数傅里叶反
变换。它具有可近似地分离并提取出频谱包络信息
和细微结构信息的特点-Cepstrum analysis cepstrum analysis is the signal amplitude spectrum on the number of short-time Fourier inverse transform. It has can be approximately isolated and extracted spectral envelope information and fine structural characteristics of information Platform: |
Size: 1024 |
Author:仲惟姣 |
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Description: 基于matlab语音短时频谱分析，到谱分析，语谱图分析及结果-Short-time spectrum analysis based on matlab speech to the spectral analysis, spectrogram analysis and results Platform: |
Size: 47104 |
Author:袁浩 |
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Description: These routines scramble an audio file by moving around short, overlapping windows within a local window. They can be used to create new versions of existing recordings that preserve the spectral content over longer time scales, but remove structure at shorter timescales. This can be useful e.g. for making speech unintelligible.
Routines are also included to shuffle Gammatone subbands independently, for further scrambling.-These routines scramble an audio file by moving around short, overlapping windows within a local window. They can be used to create new versions of existing recordings that preserve the spectral content over longer time scales, but remove structure at shorter timescales. This can be useful e.g. for making speech unintelligible.
Routines are also included to shuffle Gammatone subbands independently, for further scrambling.
Platform: |
Size: 168960 |
Author:zxy |
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Description: 详细说明：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 绝对保证质量，是保研后导师布置的一些基础程序-Details: short-time speech signal analysis, including: framing, short-term energy, short-term average rate, short-time zero crossing rate, short-time autocorrelation function, short-term magnitude difference, cepstrum, complex cepstrum, lpc coefficient, lpc absolute guarantee of the quality of spectral estimation, is the security arrangement of some of the research base after the mentor program Platform: |
Size: 6144 |
Author:林溪 |
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Description: 语音处理是信号与信息处理的重要内容之一，通过本课程设计，使学生理解数字信号处
理的有关理论和方法在语音处理中的具体应用。课程设计的目的归纳如下：
1、掌握语音信号的特点；
2、掌握语音处理的基本理论和方法；
3、掌握基于Matlab编程实现语音的获取、显示、频谱分析、短时能量、短时自相关以及倒
谱复倒谱的分析方法；
4、掌握语音基音频率及共振峰频率的检测方法。-Signal and speech processing is an important part of information processing, through the curriculum design, so that students understand the digital signal
The theory and methods of management in voice processing in the specific application. Curriculum is designed to be summarized as follows:
A master speech signal characteristics
2, master the basic theory and speech processing methods
3, master Matlab programming based voice access, display, spectrum analysis, short-time energy, short-term autocorrelation and inverted
Spectral analysis of the complex cepstrum method
4, master voice pitch frequency and formant frequency detection method.
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Author:立枣酒 |
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Description: 此代码是在MATLAB下进行清浊音短时频谱分析，用到汉明窗。-This code is carried Voicing short time spectral analysis in MATLAB, use the Hamming window. Platform: |
Size: 1024 |
Author:小珮 |
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Description: 语音信号是一个非平稳时变的信号，所以用计算稳态信号的方法计算功率谱密度函数没有太大意义，看不出信号的动态变化，"gonglvpu"给出计算短时功率谱密度函数(Speech signal is a non-stationary time-varying signal, so it is not very meaningful to calculate the power spectral density function by calculating the steady-state signal. The dynamic changes of the signal can not be seen. The "gonglvpu" gives the short-term power spectral density function.) Platform: |
Size: 44032 |
Author:mrlong |
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Search - short-time spectral matlab