FRILL: On-Device Speech Representations using TensorFlow-Lite

Posted by Joel Shor, Software Engineer, Google Research, Tokyo and Sachin Joglekar, Software Engineer, TensorFlow Representation learning is a machine learning (ML) method that trains a model to identify salient features that can be applied to a variety of downstream tasks, ranging from natural language processing (e.g., BERT and ALBERT) to image analysis and classification (e.g., Inception layers and SimCLR). Last year, we introduced a benchmark for comparing speech representations and a new, g...

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