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Keyword spotting is an important research field because it plays a key role in device wake-up and user interaction on smart devices.
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2018
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M. Lee, J. Lee, H. J. Jang, B. Kim, W. Chang, and K. Hwang, “Orthogonality constrained multi-head attention for keyword spotting,” in
2019
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2019
Cited alongside, same era.
S. Choi, S. Seo, B. Shin, H. Byun, M. Kersner, B. Kim, D. Kim, and S. Ha, “Temporal convolution for real-time keyword spotting on mobile devices,” in
2019
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2019
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O. Rybakov, N. Kononenko, N. Subrahmanya, M. Visontai, and S. Laurenzo, “Streaming keyword spotting on mobile devices,” in
2020
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S. Lee, S. Chang, and N. Kwak, “Urnet: User-resizable residual networks with conditional gating module,” in
2020
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S. Chang, H. Park, J. Cho, H. Park, S. Yun, and K. Hwang, “Subspectral normalization for neural audio data processing,” in
2021
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