On-Device Speech Representation Using TensorFlow Lite

On-Device Speech Representation Using TensorFlow Lite

FRILL is a Non-Semantic Speech model that is 40 percent the size of TRILL and can compute over 32 times faster on mobile phones.

Representation learning is a machine learning (ML) method that trains a model to discover prominent features. It may apply to a wide range of downstream tasks– including Natural Language Processing (BERT and ALBERT) and picture analysis and classification (Inception layers and SimCLR). Last year, researchers developed a baseline for comparing speech representations and a new, general-purpose speech representation model, TRILL. It is based on temporal proximity and attempts to map speech that happens close together in time to a lower-dimensional embedding space that captures temporal proximity. https://analyticsindiamag.com/on-device-speech-representation-using-tensorflow-lite/

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