搜索资源列表
yuyinxinhaochuli
- 语音信号处理实基于MATLAB的语音信号时域特征分析 要求： 按所学相关语音处理得的知识，通过网上学习、资料查阅，自己设计程序，给出某一语音信号的短时过零率、短时能量、短时自相关特征的分析结果，并借助时域分析方法检测所分析语音信号的基音周期-yu yin xin hao chu li
Speech-signal-short-time-analysis
- 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
exp1
- 提交一段录制语音，录音内容 : 数字0~9 和 本人姓名。格式为单声道、16KHz 采样、 16Bits 的线性PCM 数据。录音要求发音平稳，匀速，音量适中（最大幅度要超过3000）。录 音数据按照WAVE 文件格式存放。文件名由和姓名组成: 学号_姓名.wav 1）编写程序(MathLab)，读出所录制的数据。统计文件信号的直流分量，消除直流后显示波 形。 2）编写程序（MathLab）以100 帧/秒的频度（即帧移10mS），分析并显示录音文件的短时 过零率及短时能
timeDomainAnalysis
- 基于Matlab的语音信号的时域分析，包括短时平均能量，短时平均过零率，短时自相关系数，短时平均幅度-Based on Matlab speech signal time-domain analysis, including short-term average energy, short-time average zero-crossing rate, short-term autocorrelation coefficient, the short-term average
mian
- 语音信号的时域分析，有短时能量，短时平均幅度，短时过零率，清音自相关序列，浊音自相关序列，傅里叶分析。-Speech signal time-domain analysis, short-time energy, short-term average, short-term zero-crossing rate, voiceless autocorrelation sequence, voiced autocorrelation sequence, Fourier analysis.
recored
- 语音信号的处理，包括录音，短时能量，同态滤波等-Speech signal processing, including recording, short-term energy, homomorphic filtering
Short-time-analysis
- 语音信号处理，含短时平均过零率、短时平均能量和短时平均幅度等的求解. -Speech signal processing, including short-time average zero-crossing rate, short-term average energy and short-term average of solving.
time-and-frequency-characteristics
- 语音信号的时域和频域特性，包括录制、计算短时能量、短时过零率、短时傅里叶变换、加矩形窗等步骤-Speech signal in time domain and frequency domain characteristics, including recording, computing time energy, short-time zero-crossing rate, short-time Fourier transform, rectangular windows and other s
signalPshort-energyPzero-rate
- 采集语音信号，双线性变换法设计低通滤波器对信号滤波，分别运用短时能量和短时过零率方法对语音信号进行处理。-Voice signal acquisition bilinear transform design low-pass filter signal filtering, namely, the use of short-term energy and zero-crossing rate method of voice signal processing.
yuyinxinhaochuli
- 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
qujingyinchongzu
- 对输入的语音信号运用短时能量函数进行去静音，然后把去掉静音帧之后的信号进行重组。-remove the mute of the speech signal (using short-term energy function), and then remove the signal mute frame after restructuring.
yuyin
- 语音信号的时域、频域分析,包括短时能量分析、短时平均过零率、自相关函数、短时平均幅度差函数等。-Time-domain speech signal, frequency domain analysis, including short-term energy analysis, the average short-term zero-crossing rate, autocorrelation function, such as short-time average magnitude diff
the-basic-analysis-of-speech
- 语音信号时频分析，包括语谱图，过零率，自编的自相关，以及最后用了三种方法（短时能量和过零率、谱熵法、Teager算子）进行端点检测，代码完整且测试通过-time and frequency domain analysis of speech signals,including spectrogram,rate of zerocrossing,autocorrelation.and three method of endpoint detection,especially the Teager
eng2
- 语音信号的短时能量计算，可以计算语音信号的短时能量，在不同窗口形状与长度下-Short-term energy of the speech signal, can calculate the time speech signal energy at different window shapes and lengths
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.
endpoint-detection
- 基于短时能量和短时平均过零率的语音信号的端点检测程序-Endpoint detection procedures based on short-term energy and zero-crossing rate of the average voice signal
dmt
- 基于短时能量和过零率的双门限语音端点检测.选择信号分别为一段女声和一段男声：“今天周一，天气晴朗。”运行结果分别显示两者的短时能量和过零率图，可以用来对比其两者的不同。-Choose based on double threshold voice endpoint detection rate of short-term energy and zero-crossing signals were some female and some male voice: " Today, Mond
Voice-signal-pre-processing
- 语音识别前期处理代码，包括语音信号预处理，预加重，加窗分帧，短时能量及短时平均幅度分析，短时平均过零率，短时自相关分析，短时平均幅度差函数。-Speech recognition pre-processing code, including voice signal pre-processing, pre-emphasis, windowing sub-frame, and the short-term average short-term energy analysis, the averag
ss
- 进行语音信号的切分处理，处理切分方法是根据短时能量和短时过零率进行的- ON划词翻译ON实时翻译 Segmentation of speech signal processing, segmentation method is based on short-time energy and short-time zero crossing rate of
edp
- 语音信号的是与分析 有短时能量短时过零等分析-Speech signal analysis There is a short energy short-time zero crossing analysis, etc