paloukari/OrcaDetector
A VGGish-based DNN trained on the Watkins Marine Mammal Sound Database, with transfer learning from Audioset, to detect multiple marine mammal species.
Jupyter NotebookMIT
Issues
- 1
Download the data
#61 opened by quentin-hamard - 1
Docker container for the TX2
#30 opened by mwinton - 1
live feed proxy
#23 opened by mwinton - 2
- 1
- 1
Investigate if there is any value to keep the trailing segment of the audio files
#28 opened by paloukari - 1
Capture noise data
#33 opened by mwinton - 1
Remove vggish smoke test, add orca smoke test
#17 opened by mwinton - 1
Decide which species to explicitly classify
#5 opened by mwinton - 1
- 1
- 1
Add argparser support to specify a model name
#7 opened by mwinton - 1
Add support for running test
#9 opened by mwinton - 0
- 1
Add a brief /vggish/README.md
#1 opened by mwinton - 1
- 0
Additional EDA plots
#27 opened by mwinton - 0
Dockerize the project
#10 opened by mwinton - 0
- 0
Update to support shorter (2 sec?) audio clips
#14 opened by mwinton - 0
Investigate if/how to reduce the used classes
#29 opened by paloukari - 0
6/25 project intro for class
#24 opened by mwinton - 1
notebook for exploring dataset
#22 opened by mwinton - 2
Use https://github.com/asottile/future-fstrings to tidy up our string formatting
#20 opened by mwinton - 0
- 0
- 0
- 1
Create the vggish Keras model
#6 opened by mwinton