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pitchana
- 在语音中提取基音频率的程序。输入为.wav格式的语音文件，输出各帧基音频率。-This is a project of pitch extract of voice. When input is a wave file(.wav), the output will be the fundamental frequency of each frame.
易克初著 语音信号处理
- 易克初著 语音信号处理 包括语音识别的基本知识和理论-Yi Kechu,It includes the fundamental knowledge and theory of Process on Voice Signal.
FUNDAMENTAL
- 《FUNDAMENTALS OF SPEECH RECOGNITION（语音识别基本原理）》（英文），大家可以好好学习下-"FUNDAMENTALS OF SPEECH RECOGNITION (voice consensus other basic tenets) "(English), you can learn where
F0F1F2F3
- 语音情感是别中经常用到的基频F0和前三个共振峰F1F2F3的提取程序，并把引用的辅助函数nanmax.m，nanmean.m，nanmin.m一并附上。直接调用demo01.m即可。-emotional voice is not often used in the fundamental frequency F0 and the former three formant F1F2F3 the process of extraction, and the auxiliary function in
fundamental
- 8kHz采样语音的基音检测程序，VC6.0环境下运行，附有matlab画图程序
voice_recognition.rar
- 使用自相关法提取基频法来判别男女声，并与带通滤波器幅度筛选法及幅度作差提取基频判别法分别作比较。最后的判别正确率接近90％。,The use of autocorrelation-based frequency extraction method to determine male and female voices, and with band-pass filter magnitude and rate of screening for differential extraction of
AFinePitchModelforSpeech
- 微软研究出来的一个基频提取算法，简单有效-Microsoft Research out of a fundamental frequency extraction algorithm is simple and effective
yinacf10
- The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuni
DSP
- 基于DSP芯片为控制核心，设计了语音处理系统，有效地解决了高性能与低成本间的矛盾。系统的硬件部分包括数字信号处理芯片、音频CODEC模块、电源模块、滤波电路、JTAG 仿真接口等几大模块，系统的软件部分介绍了语音识别的基本原理,阐述了DSP实现技术，探讨并验证小波变换算法比傅里叶变换算法在提高语音识别系统性能应用中的有效性。该系统资源丰富，电路兼有模拟和数字信号接口，可以作为一个独立的模块应用于其他电路，方便地扩展其应用。-The design of speech process system
PitchExtractingNewMethodforMixedSpeechesBasedonMul
- 基于分频带自相关函数的混叠语音基频分离提取新算法 -Based on the sub-band auto-correlation function of the fundamental frequency of voice-alias A New Algorithm for Extraction
20020911
- 基于小波变换的语音基频提取新算法，基于小波变换的语音基频提取新算法-Based on wavelet transform new algorithm for speech fundamental frequency extraction based on wavelet transform new algorithm for speech fundamental frequency extraction
FUNDAMENTALSPEECHRECOGNITION
- 语音识别基本原理的英文原版 应该需要装阅读程序才能阅读-FUNDAMENTAL SPEECH RECOGNITION
Proceedings_1993
- 进行采样语音信号，计算出基频，从而判断出性别。-Sampled speech signal to calculate the fundamental frequency, which determine gender.
CASourceGrabber
- this program can capture the source from the microphone in window mobile or other windows platform. it use a fundamental wave library in windows such as WaveIn-this program can capture the source from the microphone in window mobile or other windows
voice-recognition_matlab-code
- 读入语音文件，并对其做时域、频域的分析，提取相关特征参数。进行线性预测分析，得到LPC谱等线性预测参数，并做了基于预测误差的基音周期估计。-read .wav files，analysing them in time domain，frequency domain and extract some feature parameters related，then do linear prediction analysis ，and get LPC linear prediction paramet
identify_male_female_voices
- 一般来说，成年男性话音的基音频率大致为50~200Hz，女性的基音频率在200~450Hz 之间,据此可以识别男女声。-In general, adult male voice pitch frequency is roughly 50 ~ 200Hz, women' s fundamental frequency between the 200 ~ 450Hz, which can identify the male and female voices.
jiyinjiance
- 用于检测语音信号的基音频率，采用的是二次普的方法，比倒谱法有优势。-Used to detect the fundamental frequency of speech signals, using the method of secondary general than cepstrum advantage.
yuyinxuebo
- 利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中-Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the funda
P_Boersma_Accurate_short-term_analysis_of_the_fun
- code for speech analysis will help in calculation of fundamental frequency
Gammashirp-filter
- In this paper, we figure out the use of appended jitter and shimmer speech features for closed set text independent speaker identification system. Jitter and shimmer features are extracted from the fundamental frequency contour and added to basel