4 papers
DZip: improved general-purpose lossless compression based on novel neural network modeling
Mohit Goyal, Kedar Tatwawadi, Shubham Chandak +1
We consider lossless compression based on statistical data modeling followed by prediction-based encoding, where an accurate statistical model for the input data leads to substanti…
Learning Activation Functions: A new paradigm for understanding Neural Networks
Mohit Goyal, Rajan Goyal, Brejesh Lall
The scope of research in the domain of activation functions remains limited and centered around improving the ease of optimization or generalization quality of neural networks (NNs…
DeepZip: Lossless Data Compression using Recurrent Neural Networks
Mohit Goyal, Kedar Tatwawadi, Shubham Chandak +1
Sequential data is being generated at an unprecedented pace in various forms, including text and genomic data. This creates the need for efficient compression mechanisms to enable…
Detection of Glottal Closure Instants from Raw Speech using Convolutional Neural Networks
Mohit Goyal, Varun Srivastava, Prathosh A. P
Glottal Closure Instants (GCIs) correspond to the temporal locations of significant excitation to the vocal tract occurring during the production of voiced speech. GCI detection fr…