---
title: "MLSoundClassifier.DataSource.labeledDirectories(at:)"
framework: createml
role: symbol
role_heading: Case
path: "createml/mlsoundclassifier/datasource/labeleddirectories(at:)"
---

# MLSoundClassifier.DataSource.labeledDirectories(at:)

Creates a data source from a folder with subfolders that each contain audio files.

## Declaration

```swift
case labeledDirectories(at: URL)
```

## Parameters

- `at`: URL : The URL to a folder in the file system that contains folders of audio files. The data source uses the name of each folder as the classification label for the audio content it contains.

## Discussion

Discussion This data source uses each subdirectory’s name as the label for the audio files contained within them. For example, for a directory that contains a Laughter subdirectory, the data source applies the label "Laughter" to each audio file in that subdirectory. // Build a URL to the directory that contains the labeled directories. let home = FileManager.default.homeDirectoryForCurrentUser let documents = home.appendingPathComponent("Documents") let labeledDirectories = documents.appendingPathComponent("Labeled Audio Directories")

// Labeled Audio Directories/ // ├── Laughter/ // │ ├── Laughter1.m4a // │ ├── 20190229164259.m4a // │ ├── . // │ ├── . // │ ├── . // │ └── AudienceLaughing.mp3 // └── Applause //   ├── misc-clapping.mp3 //   ├── 20190229164211.m4a //   ├── . //   ├── . //   ├── . //   └── AudienceClapping.m4a

// Create a data source from the labeled directories. let soundDataSource = MLSoundClassifier.DataSource.labeledDirectories(at: labeledDirectories)

// Train a sound classifier with the data source. let soundClassifier = try MLSoundClassifier(trainingData: soundDataSource)

## See Also

### Creating a data source

- [MLSoundClassifier.DataSource.labeledFiles(at:)](createml/mlsoundclassifier/datasource/labeledfiles(at:).md)
- [MLSoundClassifier.DataSource.filesByLabel(_:)](createml/mlsoundclassifier/datasource/filesbylabel(_:).md)
- [MLSoundClassifier.DataSource.features(table:featureColumn:labelColumn:parameters:)](createml/mlsoundclassifier/datasource/features(table:featurecolumn:labelcolumn:parameters:).md)
- [MLSoundClassifier.DataSource.featuresDataFrame(_:featureColumn:labelColumn:parameters:)](createml/mlsoundclassifier/datasource/featuresdataframe(_:featurecolumn:labelcolumn:parameters:).md)
- [MLSoundClassifier.FeatureExtractionParameters](createml/mlsoundclassifier/featureextractionparameters.md)
