Filter löschen
Filter löschen

Imbalanced Audio Dataset for Deep Learning Classification

26 Ansichten (letzte 30 Tage)
Nicholas Ang
Nicholas Ang am 12 Jul. 2021
Beantwortet: Vineet Joshi am 30 Jul. 2021
Hi, I am trying to use audio data from interviews for binary classification through converting my dataset into spectrograms before feeding into CNN for classification. Firstly, the audio data have different duration i.e., 7 min-30 min and the dataset is imbalanced. I am aware of techniques such as SMOTE and oversampling of minority classes, but I am lost on how to oversample my minority class. Should I convert into spectrogram before oversampling and are there any ways to do it? Thanks!

Antworten (1)

Vineet Joshi
Vineet Joshi am 30 Jul. 2021
The following documentation talks about data augmentation for audio data. It covers examples on how to create custom pipelines and functions such as pitch shifting, time shifting, and time stretching.
Hope this helps you.


Mehr zu Introduction to Installation and Licensing finden Sie in Help Center und File Exchange




Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by