Mercurial > hg > emotion-detection-top-level
view Code/Descriptors/Matlab/MPEG7/FromWeb/VoiceSauce/func_parseFMT.m @ 4:92ca03a8fa99 tip
Update to ICASSP 2013 benchmark
author | Dawn Black |
---|---|
date | Wed, 13 Feb 2013 11:02:39 +0000 |
parents | |
children |
line wrap: on
line source
function [F1, F2, F3] = func_parseFMT(matdata, FMTalgorithm) % [F1, F2, F3] = func_parseFMT(matdata, FMTalgorithm) % Input: matdata - mat data % FMTalgorithm - FMT algorithm to use % Output: F1, F2, F3 vectir % Notes: choose the FMT vectors depending on what is specified % % Author: Yen-Liang Shue, Speech Processing and Auditory Perception Laboratory, UCLA % Copyright UCLA SPAPL 2009 F1 = []; F2 = []; F3 = []; switch(FMTalgorithm) case {'F1, F2, F3, F4 (Snack)'} if (isfield(matdata, 'sF1') && isfield(matdata, 'sF2') && isfield(matdata, 'sF3')) F1 = matdata.sF1; F2 = matdata.sF2; F3 = matdata.sF3; end case {'F1, F2, F3, F4 (Praat)'} if (isfield(matdata, 'pF1') && isfield(matdata, 'pF2') && isfield(matdata, 'pF3')) F1 = matdata.pF1; F2 = matdata.pF2; F3 = matdata.pF3; end case {'F1, F2, F3, F4 (Other)'} if (isfield(matdata, 'oF1') && isfield(matdata, 'oF2') && isfield(matdata, 'oF3')) F1 = matdata.oF1; F2 = matdata.oF2; F3 = matdata.oF3; end otherwise F1 = []; F2 = []; F3 = []; end