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Found 5 papers, 1 papers with code
Small-footprint slimmable networks for keyword spotting
In this work, we present Slimmable Neural Networks applied to the problem of small-footprint keyword spotting.
Latency Control for Keyword Spotting
We also show that when our approach is used in conjunction with a max-pooling loss, we are able to improve relative false accepts by 25 % at a fixed latency when compared to cross entropy loss.
Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting
In this work, we propose Tiny-CRNN (Tiny Convolutional Recurrent Neural Network) models applied to the problem of wakeword detection, and augment them with scaled dot product attention.
Small Footprint Convolutional Recurrent Networks for Streaming Wakeword Detection
In this work, we propose small footprint Convolutional Recurrent Neural Network models applied to the problem of wakeword detection and augment them with scaled dot product attention.
Analyzing Gender Bias within Narrative Tropes
Popular media reflects and reinforces societal biases through the use of tropes, which are narrative elements, such as archetypal characters and plot arcs, that occur frequently across media.
