DistilWav2Vec2 Adult/Child Speech Classifier is an audio classification model based on the
wav2vec 2.0 architecture. This model is a distilled version of
wav2vec2-adult-child-cls on a private adult/child speech classification dataset.
This model was trained using HuggingFace's PyTorch framework. All training was done on a Tesla P100, provided by Kaggle. Training metrics were logged via Tensorboard.
Do consider the biases which came from pre-training datasets that may be carried over into the results of this model.
DistilWav2Vec2 Adult/Child Speech Classifier was trained and evaluated by
Ananto Joyoadikusumo. All computation and development are done on Kaggle.
