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Greatest papers with code

Efficient keyword spotting using dilated convolutions and gating

19 Nov 2018sonos/tract

We explore the application of end-to-end stateless temporal modeling to small-footprint keyword spotting as opposed to recurrent networks that model long-term temporal dependencies using internal states.

SMALL-FOOTPRINT KEYWORD SPOTTING

Deep Residual Learning for Small-Footprint Keyword Spotting

28 Oct 2017castorini/honk

We explore the application of deep residual learning and dilated convolutions to the keyword spotting task, using the recently-released Google Speech Commands Dataset as our benchmark.

SMALL-FOOTPRINT KEYWORD SPOTTING

Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution

20 Oct 2020Interlagos/TENet-kws

Based on the purposed model, we replace standard temporal convolution layers with MTConvs that can be trained for better performance.

SMALL-FOOTPRINT KEYWORD SPOTTING

Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions

5 Nov 2019renyuanL/ry-Speech-commands

Keyword Spotting (KWS) enables speech-based user interaction on smart devices.

SMALL-FOOTPRINT KEYWORD SPOTTING

Attention-based End-to-End Models for Small-Footprint Keyword Spotting

29 Mar 2018isadrtdinov/kws-attention

In this paper, we propose an attention-based end-to-end neural approach for small-footprint keyword spotting (KWS), which aims to simplify the pipelines of building a production-quality KWS system.

SMALL-FOOTPRINT KEYWORD SPOTTING

Neural ODE with Temporal Convolution and Time Delay Neural Networks for Small-Footprint Keyword Spotting

1 Aug 2020fkhiro/kws-ode

In this paper, we propose neural network models based on the neural ordinary differential equation (NODE) for small-footprint keyword spotting (KWS).

SMALL-FOOTPRINT KEYWORD SPOTTING