DTW based Text-Dependent Speaker Verification on ESP-EYE
-
Updated
May 12, 2020 - C
#
esp-eye
Here are 2 public repositories matching this topic...
AutoEntangle (SmartTrap_V03) is an insect trap using FOMO (Edge Impulse) model, equipped with advanced features and minimal resources on the ESP-EYE, achieves an impressive 97% F1 Score in validation dataset, with an efficient mean processing time of 6 seconds per image and peak RAM usage of 2.4Mb per task!
-
Updated
Jul 7, 2024 - C
Improve this page
Add a description, image, and links to the esp-eye topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the esp-eye topic, visit your repo's landing page and select "manage topics."