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Table 3 Music tagging performance on the CAL500 dataset by applying fivefold cross-validation

From: Music classification by low-rank semantic mappings

Method

Features

Precision

Recall

F 1 score

LRSMs

Fusion cmc

0.504

0.202

0.289

 

Fusion cm

0.504

0.202

0.289

 

Cortical

0.500

0.203

0.288

 

MFCCs

0.379

0.167

0.232

 

Chroma

0.277

0.130

0.174

MLSRC

Fusion cmc

0.458

0.184

0.263

 

Fusion cm

0.466

0.186

0.266

 

Cortical

0.476

0.186

0.267

 

MFCCs

0.384

0.162

0.228

 

Chroma

0.355

0.151

0.212

Rank-SVMs

Fusion cmc

0.469

0.209

0.289

 

Fusion cm

0.477

0.209

0.291

 

Cortical

0.472

0.208

0.288

 

MFCCs

0.313

0.140

0.194

 

Chroma

0.287

0.128

0.177

MLkNN

Fusion cmc

0.404

0.173

0.243

 

Fusion cm

0.398

0.173

0.241

 

Cortical

0.404

0.173

0.242

 

MFCCs

0.338

0.156

0.213

 

Chroma

0.305

0.138

0.190

PARAFAC2

Fusion cmc

0.483

0.196

0.279

 

Fusion cm

0.480

0.197

0.279

 

Cortical

0.472

0.208

0.288

 

MFCCs

0.304

0.136

0.188

 

Chroma

0.289

0.130

0.179

[63]

 

0.480

0.260

0.340

[26]

 

0.490

0.230

0.260

[9] as evaluated in [26]

 

0.410

0.240

0.250

[12] as evaluated in [26]

 

0.380

0.240

0.250

[64] as evaluated in [26]

 

0.370

0.170

0.200

  1. The best results are indicated in italics.