Skip to content

balajiiitg/AED_mon0channel

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
1_1_dev_split0_accdoa_mic_gcc_model.h5
1_1_dev_split0_accdoa_mic_gcc_model.h5
 
 
README.md
README.md
 
 
SELD_evaluation_metrics.py
SELD_evaluation_metrics.py
 
 
batch_feature_extraction.py
batch_feature_extraction.py
 
 
cls_compute_seld_results.py
cls_compute_seld_results.py
 
 
cls_data_generator.py
cls_data_generator.py
 
 
cls_feature_class.py
cls_feature_class.py
 
 
cls_feature_class.pyc
cls_feature_class.pyc
 
 
down_sample.py
down_sample.py
 
 
inference_code.py
inference_code.py
 
 
models
models
 
 
mono_to_stero.py
mono_to_stero.py
 
 
parameters.py
parameters.py
 
 
seldnet_model.py
seldnet_model.py
 
 
stereo_to_mono.py
stereo_to_mono.py
 
 
train_seldnet.py
train_seldnet.py
 
 
visualize.py
visualize.py
 
 
visualize_seldnet_output.py
visualize_seldnet_output.py
 
 

Repository files navigation

AED_mon0channel

Audio Event detection using SED 2022 SONY TAU dataset We have converted into MONO channel AED data Create a virtual ENV python3 -m venv SED-2022 Activate virtual ENV source SED-2022/bin/activate We have parameters.py file consists of hyper parameters Add the proper dataset path in parameters.py create a labels using python batch_feature_extraction.py Train the model using python train_seldnet.py

About

No description, website, or topics provided.

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

No packages published

Languages