Skip to content

Accompanying code for the paper On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data.

License

Notifications You must be signed in to change notification settings

wilkinghoff/few-shot-open-set-eusipco2023

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

few-shot-open-set-eusipco2023

Description

Few-shot open-set classification system for https://zenodo.org/record/3689288#.Y5nGzn2ZNaQ. The system is an adaption of the anomalous sound detection system provided here: https://github.com/wilkinghoff/icassp2023/.

Instructions

The implementation is based on Tensorflow 2.3 (more recent versions can run into problems with the current implementation). Just start the main script for training and evaluation. To run the code, you need to download the meta data, pattern sounds and unwanted sounds and store the directories in the same directory as the code contained in this repository.

Reference

When reusing (parts of) the code, a reference to the following paper would be appreciated:

@inproceedings{wilkinghoff2023using, author = {Wilkinghoff, Kevin and Fritz, Fabian}, title = {On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data}, booktitle = {31st European Signal Processing Conference (EUSIPCO)}, publisher={IEEE}, year = {2023}, pages={186--190} }

About

Accompanying code for the paper On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages