@DatasetDescription(name="Music-Speech Dataset", description="The \'music-speech\' corpus is a small collection of some 240 15-second extracts collected \'at random\' from the radio by Eric Scheirer during his internship at Interval Research Corporation in the summer of 1996 under the supervision of Malcolm Slaney", url="http://labrosa.ee.columbia.edu/sounds/musp/scheislan.html") @Reference(type=Inproceedings, author={"Scheirer E.","Slaney, M."}, title="Construction And Evaluation Of A Robust Multifeature Speech/music Discriminator", year="1997", booktitle="Proc. ICASSP-97, Munich.") public class MusicSpeechDataset extends MapBackedDataset<String,Dataset<File>,File>
MapBackedDataset.IdentifiableBuilder<DATASET extends Dataset<INSTANCE> & Identifiable,INSTANCE>
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>
map
Constructor and Description |
---|
MusicSpeechDataset(File baseDir,
boolean testOrTrain)
Create the Music-Speech Dataset from the given directory.
|
add, builder, entrySet, getGroups, getInstances, getMap, getRandomInstance, getRandomInstance, iterator, numInstances, of, of, of, of, of, of, of, put, toString
clear, clone, containsKey, containsValue, equals, get, hashCode, isEmpty, keySet, putAll, remove, size, values
public MusicSpeechDataset(File baseDir, boolean testOrTrain)
baseDir
- The base directory of the music-speech dataset.testOrTrain
- TRUE for testing set, FALSE for training set