Dataset Management and Labeling

Ingest, create, and label large data sets

Use the audioDatastore object to access data and perform common management tasks such as splitting data into train, validation, and test sets and distributing computations among workers. To label existing data sets or to create new data sets, use the Signal Labeler app.

Apps

Signal Labeler

Label signal attributes, regions, and points of interest, and extract features

Objects

audioDatastore Datastore for collection of audio files

Functions

`detectSpeech`	Detect boundaries of speech in audio signal
`classifySound`	Classify sounds in audio signal

Topics

Choose an App to Label Ground Truth Data
Decide which app to use to label ground truth data: Image Labeler, Video Labeler, Ground Truth Labeler, Lidar Labeler, or Signal Labeler.
Label Spoken Words in Audio Signals
Use Signal Labeler to label spoken words in an audio signal.

Featured Examples

Import Audacity Labels to Signal Labeler

Import labels created in Audacity™ into Signal Labeler.

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Train 3-D Sound Event Localization and Detection (SELD) Using Deep Learning

Train a deep learning model to perform sound localization and event detection from ambisonic data.

Open Live Script