Building an Audio Classifier using Deep Neural Networks

Understanding sound is one of the basic tasks that our brain performs. This can be broadly classified into Speech and Non-Speech sounds. We have noise robust speech recognition systems in place but there is still no general purpose acoustic scene classifier which can enable a computer to listen and interpret everyday sounds and take actions based on those like humans do, like moving out of the way when we listen to a horn or hear a dog barking behind us etc. Our model is only as complex as our data, thus getting labelled'data is very important in machine learning'. The complexity of the Machine Learning systems arise from the data itself and not from the algorithms.