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Found 6 papers, 1 papers with code
Noisy student-teacher training for robust keyword spotting
We propose self-training with noisy student-teacher approach for streaming keyword spotting, that can utilize large-scale unlabeled data and aggressive data augmentation.
Training Keyword Spotting Models on Non-IID Data with Federated Learning
We demonstrate that a production-quality keyword-spotting model can be trained on-device using federated learning and achieve comparable false accept and false reject rates to a centrally-trained model.
Streaming keyword spotting on mobile devices
In this work we explore the latency and accuracy of keyword spotting (KWS) models in streaming and non-streaming modes on mobile phones.
Ranked #10 on
Keyword Spotting
on Google Speech Commands
Audio and Speech Processing Sound
Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling
We propose smoothed max pooling loss and its application to keyword spotting systems.
Multi-scale Graphical Models for Spatio-Temporal Processes
Learning the dependency structure between spatially distributed observations of a spatio-temporal process is an important problem in many fields such as geology, geophysics, atmospheric sciences, oceanography, etc.
Identification of Recurrent Patterns in the Activation of Brain Networks
Identifying patterns from the neuroimaging recordings of brain activity related to the unobservable psychological or mental state of an individual can be treated as a unsupervised pattern recognition problem.
