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https://github.com/roman-vygon/triplet_loss_kws
Learning Efficient Representations for Keyword Spotting with Triplet Loss
https://github.com/roman-vygon/triplet_loss_kws
deep-learning keyword-spotting pytorch speech-recognition
Last synced: about 2 months ago
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Learning Efficient Representations for Keyword Spotting with Triplet Loss
- Host: GitHub
- URL: https://github.com/roman-vygon/triplet_loss_kws
- Owner: roman-vygon
- License: mit
- Created: 2021-01-26T11:48:31.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2022-09-14T06:26:59.000Z (over 2 years ago)
- Last Synced: 2024-08-02T09:28:45.777Z (5 months ago)
- Topics: deep-learning, keyword-spotting, pytorch, speech-recognition
- Language: Python
- Homepage:
- Size: 4.27 MB
- Stars: 92
- Watchers: 2
- Forks: 14
- Open Issues: 7
Awesome Lists containing this project
- awesome-keyword-spotting - Github: Learning Efficient Representations for Keyword Spotting with Triplet Loss