iver56 live-audio-ml issues

iver56 / live-audio-ml

A system that should classify audio in real-time

6 stars 2 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Try OpenL3, a self-supervised deep audio embedding

#23 iver56 opened 5 years ago
0
Try an audio source separation model

#22 iver56 opened 5 years ago
0
Try to use wavelet transform instead of FFT

#21 iver56 opened 5 years ago
0
Use keras.utils.Sequence() instead of generator, and enable multiprocessing

#20 iver56 closed 5 years ago
1
Plot confusion matrix

#19 iver56 closed 5 years ago
0
Consider VGGish (feature extractor)

#18 iver56 opened 5 years ago
0
Try SincNet

#17 iver56 opened 5 years ago
0
Let the data generator load sounds from the custom dataset as well as AudioEventDataset

#16 iver56 closed 5 years ago
0
Save augmented sounds as .wav in addition to the png

#15 olavbm closed 5 years ago
0
Save augmented images to path

#14 olavbm closed 5 years ago
0
Save labeled recordings to different directories

#13 olavbm closed 5 years ago
0
Implement "save_augmented_images_to_path" in generator

#12 iver56 closed 5 years ago
1
Om/recorder button

#11 olavbm closed 5 years ago
0
Apply hyperparameter optimization

#10 iver56 opened 5 years ago
0
Try LSTM model

#9 iver56 closed 5 years ago
0
Make validation generator

#8 iver56 closed 5 years ago
1
Data augmentation

#7 iver56 opened 5 years ago
2
Make a generator for training

#6 iver56 closed 5 years ago
1
Make it work on a raspberry pi

#5 iver56 opened 5 years ago
0
Try to train a MobileNet on the spectrogram images

#4 iver56 closed 5 years ago
1
Try to train a CatBoost model on a "frequency transform of the spectrogram"

#3 iver56 opened 5 years ago
0
Make a nice GUI

#2 iver56 opened 5 years ago
0
Make an interface that makes it easy to collect new examples of laughter and "not laughter"

#1 iver56 closed 5 years ago
2