Google Inc.

Omry Tuval

Aren Jansen

Joel Eric Shor

Dotan Emanuel

Oran Lang

Ronnie Maor

Ira Shavitt

Marco Tagliasacchi

Felix De Chaumont Quitry

Examples relate to on-device non-semantic representation fine-tuning for speech classification. A computing system may obtain audio data having a speech portion and train a neural network to learn a non-semantic speech representation based on the speech portion of the audio data. The computing system may evaluate performance of the non-semantic speech representation based on a set of benchmark tasks corresponding to a speech domain and perform a fine-tuning process on the non-semantic speech representation based on one or more downstream tasks. The computing system may further generate a model based on the non-semantic representation and provide the model to a mobile computing device. The model is configured to operate locally on the mobile computing device.

Methods and systems for implementing on-device non-semantic representation fine-tuning for speech classification

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Omry Tuval