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speeech_anaalysis
  • Classification:Numerical Algorithm-Artificial Intelligence - Speech-Voice recognition/combine
  • Development Tool:Visual C++
  • Sise:474 KB
  • Upload time:2011/5/24 2:21:27
  • Uploader:tengwei1981
  • Download Statistics:
Description
A speech feature extraction procedure source code, source code, in addition to outside the matrix and vector operation, also contain very much speech feature extraction algorithms include: formants (formant) extract, pitch (pitch) extract, endpoint (endpoint) detection, linear prediction coefficients (LLPCC), MFCC, LSF, and PLCC, EPOCH etc. This is the most complete I have seen voice analysis of source code, recommended! Source code integrity, and can be used directly.




File list:
FeatureLib
.........\FeatureLib.dsp
.........\FeatureLib.plg
Speech
.....\test1.formant
.....\test1.mfc
.....\test1.pitch
.....\test1.plp
.....\test1.raw
.....\test2.den
.....\test2.raw
Feature
Feature.dsp
Feature.dsw
Feature.ncb
Feature.opt
Feature.plg
FE_basic.cpp
FE_common.h
FE_complex.h
FE_delta.cpp
FE_endpoint.cpp
FE_endpoint.h
FE_enhance.cpp
FE_enhance.h
FE_epoch.cpp
FE_error.cpp
FE_feature.cpp
FE_feature.h
FE_formant.cpp
FE_io.cpp
FE_lpcc.cpp
FE_lsf.cpp
FE_main.cpp
FE_matrix.h
FE_mfcc.cpp
FE_misc_lib.cpp
FE_noise.cpp
FE_pitch.cpp
FE_pitch.h
FE_plcc.cpp
FE_plcc.h
FE_polynomial.h
FE_spectrum.cpp
FE_vector.h
FE_vus.cpp
FE_wave_feature.h
FE_window.cpp
FE_window.h
Makefile
StdAfx.h
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Related source code
[simmplespeeech] - SimpleSpeech is a system of automatic speech recognition using HMM. Objects are research students and research workers interested in automatic speech recognition. Has passed the tests.
[Speeech-recognitionn.hmm] - Use Hmm isolated words (words) speech recognition system, classical algorithm, does not have a graphical interface, need to perfect it.
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