no code implementations • 7 Jun 2017 • Che-Wei Huang, Shrikanth. S. Narayanan
Deep convolutional neural networks are being actively investigated in a wide range of speech and audio processing applications including speech recognition, audio event detection and computational paralinguistics, owing to their ability to reduce factors of variations, for learning from speech.
no code implementations • 28 Dec 2013 • Kartik Audhkhasi, Abhinav Sethy, Bhuvana Ramabhadran, Shrikanth. S. Narayanan
We present extensions of this decomposition to common regression and classification loss functions, and report a simulation-based analysis of the diversity term and the accuracy of the decomposition.
no code implementations • 2 Aug 2018 • Che-Wei Huang, Shrikanth. S. Narayanan
Regularization is crucial to the success of many practical deep learning models, in particular in a more often than not scenario where there are only a few to a moderate number of accessible training samples.