Metric Learning for User-Defined Keyword Spotting
Author:
Affiliation:
1. Korea Advanced Institute of Science and Technology,Daejeon,Republic of Korea
2. Hyundai Motor Company
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096596.pdf?arnumber=10096596
Reference34 articles.
1. Teaching Keyword Spotters to Spot New Keywords with Limited Examples
2. Speech commands: A dataset for limited-vocabulary speech recognition;warden,2018
3. Visualizing data using t-sne;der maaten;Journal of Machine Learning Research,2008
4. Query-By-Example Keyword Spotting System Using Multi-Head Attention and Soft-triple Loss
5. Few-Shot Keyword Spotting in Any Language
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2. Open-Vocabulary Keyword-Spotting with Adaptive Instance Normalization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
3. Bridging the Gap Between Audio and Text Using Parallel-Attention for User-Defined Keyword Spotting;IEEE Signal Processing Letters;2024
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