Apoorv Vyas

Hello! I am Apoorv Vyas, currently a Ph.D. student at EPFL, and research assistant in Speech and Audio Processing at Idiap Research Institute under the joint supervision of Prof. Hervé Bourlard and Prof. François Fleuret.

Prior to joining Idiap, I received my Bachelor's in Electrical Engineering from Indian Institute of Technology Guwahati. After which I joined Intel Labs (Bangalore) where I worked on Compressed Sensing for power-efficient communications in body sensor networks and wireless sensor networks. I also worked on detecting out-of-distribution input to a deep neural network.

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I am interested in machine learning, speech recognition, and computer vision.

The goal of my Ph.D is to improve the performance of end-to-end automatic speech recognition (ASR) models with a special focus on the low to medium resource datasets.

Comparing sequence discriminative criterion for adaptation of wav2vec 2.0 model.

Using MMI loss to adapt pre-trained acoustic models to low resource datasets.

Scaling Attention to long sequences by clustering queries.

Scaling Attention to long sequences with kernelized linear attention.

PyTorch package to expose Kaldi functionalities and LF-MMI loss

Semisupervised Training by combining multiple hypotheses with Dropout.

Unsupervised word error rate estimation by analyzing multiple hypotheses with Dropout.

Detecting out-of-distribution input by entropy maximization.

Using compressive sensing for energy efficient signal acquisition and denoising on wearable devices.

Detecting commercials in TV News using hand-crafted features and SVM.

Thanks to Jon Barron for the template.