Amazon Technologies, Inc.

Shrikant Venkataramani

Ritwik Giri

Jean-Marc Valin

Arvindh Krishnaswamy

Mehmet Umut Isik

Real-time audio enhancement for a target speaker may be performed. An embedding of a sample of speaker audio is created using a trained neural network that performs voice identification. The embedding is then concatenated with the input features of a trained machine learning model for audio enhancement. The audio enhancement model can recognize and enhance a target speaker's speech in a real-time implementation, as the embedding is in the same feature space of the audio enhancement model.

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Champaign, IL, United States of America

Shrikant Venkataramani