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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
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波形和频谱双显示
记录讲话直接进入MATLAB
手动分割讲话波形-创建标签文件
波形编辑-切割,复制或粘贴
共振峰分析-显示共振轨道的F1 , F2和F3
基音分析
过滤工具-语音信号滤波器截止频率
比较工具-比较两个波形的频谱距离使用几种措施
增加噪声-Dual time-waveform and spectrogram displays
Records speech directly into MATLAB NEW
Displays time-a
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语音信号的谱分析的用户界面设计,可以对语音信号做频谱,语谱,倒谱分析-Spectral analysis of speech signals the user interface design, you can do voice signal spectrum, language spectrum, cepstrum analysis
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COLEA is a Matlab Speech Processing Toolkit with a graphical user interface.
This program can be used to edit speech waveforms (cut, copy or paste selected speech segments) and compute spectrogramss. It includes several speech related tools incl
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在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计,polyspectral估计,时频分布计算,并包含许多实际应用如时延估计,谐波恢复,参数估计的Volterra(非线性)模型,以及自适应线性预测。其他潜在的应用包括音响,生物医学,经济学,地震勘探,无损检测,海洋学,等离子体物理,雷达,声纳,语音等-The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement
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语音文件分段功率谱密度分析程序,以一定界面形式在屏幕上提示用户输入语音信号,检索语音文件数据区,显示分段功率谱密度统计参数-Sub-power spectral density voice file analysis program, to a certain form interface screen prompts the user to input speech signal, retrieve the voice file data area to show statistical pa
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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 a
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谱减法语音增强算法MATLAB源程序,简单有效-Spectral subtraction speech enhancement algorithm for MATLAB source code, simple and effective
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基于MATLAB的的语音信号处理.GUI界面,时域分析与频谱分析综合。可录制声音-MATLAB-based speech signal processing. GUI interface, time-domain analysis and spectral analysis and comprehensive. Sound can be recorded
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基于matlab对语音信号进行频谱分析,加入高斯噪声,再使用FIR高通、巴特沃斯低通、FIR带通滤波器进行滤波处理-Spectral analysis of the speech signal, adding Gaussian noise, and then use high-pass, low pass, band pass filter for filtering
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Descr iption
Applies ideal binary mask to noise corrupted speech signal. The processing takes place within an FFT based short-time spectral analysis-modification-synthesis framework. The ideal binary mask is computed from an oracle (true) sign
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spectral analysiso speech signal
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spectral analysis of speech signal
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基于matlab对语音信号的分析,利用各种滤波器,频谱分析等功能。-Based on matlab analysis of speech signals, using various filters, spectral analysis and other functions.
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Speech coders for noisy channels, linear predictive coders background, pitch estimation based on chaos theory, vector quantiser and the missing data problem, vector quantiser design for spectral information, trellis vector excitation, analysis of tre
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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
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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-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-t
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进入实验界面后,按“输入语音信号”按钮,录入语音信号的数据。对数据进行频谱分析,给出语音信号的波形图和频谱图。设置系统的截止频率,选择给定的系统类型,建立系统函数,并画出系统的频响图。
5. 语音信号频谱与滤波器频响相乘(即对语音信号进行高、低通滤波),得到输出信号的频谱,将所得结果经过傅里叶反变换函数变换为时域信号,绘出处理后信号的波形图,并分别存档。-Into the experimental interface, press " input speech signal"
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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 inf
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语音信号预处理,频谱分析,滤波,预加重及端点检测-Speech signal pre-processing, spectral analysis, filtering, pre-emphasis and endpoint detection
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