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Learning Speaker-specific Lip-to-Speech Generation
This work aims to understand the correlation/mapping between speech and the sequence of lip movement of individual speakers in an unconstrained and large vocabulary.
Minimizing Supervision in Multi-label Categorization
The approach we adopt is one of active learning, i. e., incrementally selecting a set of samples that need supervision based on the current model, obtaining supervision for these samples, retraining the model with the additional set of supervised samples and proceeding again to select the next set of samples.
Cooperative Initialization based Deep Neural Network Training
In this paper, we have proposed a cooperative initialization for training the deep network using ReLU activation function to improve the network performance.
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