Speech Enhancement

Improve quality of speech signals

Speech enhancement involves improving the quality of speech signals by removing noise and increasing intelligibility. Follow the examples to see how to apply deep learning to speech enhancement workflows.

Featured Examples

Denoise Speech Using Deep Learning Networks

Denoise speech signals using deep learning networks. The example compares two types of networks applied to the same task: fully connected, and convolutional.

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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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Dereverberate Speech Using Deep Learning Networks

Train a deep learning model that removes reverberation from speech.

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