Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

Keyword spotting (KWS) plays a critical role in enabling speech-based user interactions on smart devices. Recent developments in the field of deep learning have led to wide adoption of convolutional neural networks (CNNs) in KWS systems due to their exceptional accuracy and robustness.

Data and Resources

Cite this as

Seungwoo Choi, Seokjun Seo, Beomjun Shin, Hyeongmin Byun, Martin Kersner, Beomsu Kim, Dongyoung Kim, Sungjoo Ha (2024). Dataset: Temporal Convolution for Real-time Keyword Spotting on Mobile Devices. https://doi.org/10.57702/t6x2omt5

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Seungwoo Choi
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Seokjun Seo
Beomjun Shin
Hyeongmin Byun
Martin Kersner
Beomsu Kim
Dongyoung Kim
Sungjoo Ha
Homepage https://github.com/hyperconnect/TC-ResNet