资源列表
SpeechSignalAcquisitionandAnalysis
- 实现语音的采集，滤波，A/D转换，短时能量，短时过零数，线性倒谱分析-Speech Signal Acquisition and Analysis
speaker-seg
- 利用能量实现静音-语音的切分，并自动与人工标注做对比-The use of energy for quiet- voice segmentation and automatically compared with the manual tagging
ttsbox1.1
- test to speech 安装微软的语音包后可用-test to speech
dtw
- 实现语音的录入与DTW调整的实现，比较完整，仅供参考-Voice input and DTW adjustments to achieve more comprehensive, for reference only
HMM
- hidden markove modeling for text dependent speaker recognition
CirclePrintCorr_wo
- 剥波自相关法基音检测，用于检测“我和泥巴无语”音-Stripping wave autocorrelation pitch detection method for detecting " I am silent and mud" sound
wavelet
- SPEECH ENHANCEMENT BASED ON WAVELET DENOISING Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
speaker
- this describes how to use mel frequencies in speech recogniton
3.0
- 谱减法语音增强程序，可以给初学者提供学习的参考。-Spectral subtraction speech enhancement procedure can give a reference for beginners to learn.
LBG_newdistortion
- LBG算法实现，但使用了新的distortion计算方法-LBG algorithm realization, meanwhile using new distortion measuring method
optimized
- optimization tools optimization tools
noselect
- Speaker recognition system