3-D Audio

Process audio data containing 3-D spatial information

3-D audio signals contain both the sound information as well as spatial information about the sound sources relative to the listener in three-dimensional space. See the following examples for workflows that apply AI to processing 3-D audio signals.

Featured Examples

3-D Sound Event Localization and Detection Using Trained Recurrent Convolutional Neural Network

Perform 3-D sound event localization and detection using a pretrained deep learning model.

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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.

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3-D Speech Enhancement Using Trained Filter and Sum Network

Perform speech enhancement using a pretrained filter and sum network (FaSNet) with ambisonic data.

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Train 3-D Speech Enhancement Network Using Deep Learning

Train a filter and sum network (FaSNet) to perform speech enhancement using ambisonic data.

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