Published work

Highlighting the team’s work

Provide a quick overview of how often the team will provide progress updates on the project and what readers should know before diving into your work.

Adversarial learning of raw speech features for domain invariant speech recognition

In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018

Aditay Tripathi, Aanchan Mohan, Saket Anand, and Maneesh Singh

Learning Content and Usage Factors Simultaneously to Reduce Clickbaits

In Proceedings of the 12th ACM Conference on Recommender Systems 2018

Arnab Bhadury, and Aanchan Mohan

Knowledge transfer by sharing acoustic-model parameters for automatic speech recognition

Thesis Dissertation, McGill University 2016

Aanchan Kumar Mohan

Multi-lingual speech recognition with low-rank multi-task deep neural networks

In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015

Aanchan Mohan, and Richard Rose

Acoustic modelling for speech recognition in Indian languages in an agricultural commodities task domain

Speech Communication 2014

Aanchan Mohan, Richard Rose, Sina Hamidi Ghalehjegh, and Srinivasan Umesh

Deep neural network trained with speaker representation for speaker normalization

In 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014

Yun Tang, Aanchan Mohan, Richard C Rose, and Chengyuan Ma

Cross-lingual context sharing and parameter-tying for multi-lingual speech recognition

In 2013 IEEE Workshop on Automatic Speech Recognition and Understanding 2013

Aanchan Mohan, and Richard Rose

Dealing with acoustic mismatch for training multilingual subspace Gaussian mixture models for speech recognition

In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2012

Aanchan Mohan, Sina Hamidi Ghalehjegh, and Richard C Rose

Subspace based acoustic modelling in Indian languages

In IEEE Conference on Information Science, Signal Processing and their Applications 2012

Aanchan Mohan, and Richard Rose