How do I relate the scores fscmrmr to the feature names used in the network?
2 ビュー (過去 30 日間)
古いコメントを表示
I am using an audio classifier with the following features
aFE = audioFeatureExtractor("SampleRate",fs, ...
"SpectralDescriptorInput","melSpectrum", ...
"spectralCentroid",true, "spectralSlope",true,"spectralFlux",true,...
"spectralKurtosis",true,"spectralSkewness",true,"pitch",true,...
"harmonicRatio",true,"zerocrossrate",true,"shortTimeEnergy",true,...
"spectralSpread",true,"spectralRolloffPoint",true,...
"spectralCrest",true,"spectralDecrease",true,...
"spectralEntropy",true,"spectralFlatness",true,...
"mfccDeltaDelta",true,"gtcc",true,"gtccDelta",true,...
"gtccDeltaDelta",true,"mfcc",true,"mfccDelta",true);
I use these features to train the following network
% Define the Deep Neural Network
layers = [ ...
sequenceInputLayer(numFeatures)
lstmLayer(100,"OutputMode","last")
fullyConnectedLayer(numel(unique(labelsTrain)))
softmaxLayer
classificationLayer];
% Define the training options
options = trainingOptions("adam", ...
"Shuffle","every-epoch", ...
"ValidationData",{featuresValidation,labelsValidation}, ...
"Plots","training-progress", ...
'InitialLearnRate',1e-3,...
"MaxEpochs",100,...
"Verbose",true);
% Train the Network
net = trainNetwork(featuresTrain,labelsTrain,layers,options);
Here is my question... How do I use the ouput of [idx,scores] = fscmrmr(XX,YY); to assess which features are the most important? I enabled 21 features in 'aFE' but the FeatureVectorLength is 93. How do I correlate the scores and indices returned with the fscmrmr(X,Y) funnction with features I defined in aFE?
0 件のコメント
採用された回答
Brian Hemmat
2024 年 1 月 19 日
Many audio "features" are vectors. For example, the default MFCC feature has 13 elements. So if you just turned on MFCC, then you'd have a feature vector length of 13. You can get the mapping of audioFeatureExtractor output using the info method.
I think this example would answer your questions:
https://www.mathworks.com/help/audio/ug/audio-feature-selection-for-machine-learning-tasks.html
その他の回答 (0 件)
参考
カテゴリ
Help Center および File Exchange で AI for Signals についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!