publications

2018

1. Adversarial learning of raw speech features for domain invariant speech recognition

   Aditay Tripathi, Aanchan Mohan, Saket Anand, and 1 more author

   In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018
2. Learning Content and Usage Factors Simultaneously to Reduce Clickbaits

   Arnab Bhadury, and Aanchan Mohan

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

   Abs

   Recommending news and content is often more difficult than classic recommendation problems. At recommendation time, there is often less high quality explicit usage signals like upvotes, shares, dislikes, etc. because articles are relevant for a very short amount of time. Solely relying on implicit usage signals (views) in collaborative filtering for news articles often yields low quality documents optimized for views and clicks. Traditionally, content based filtering methods such as topic modeling, named entity extraction etc. are often used to counter or mitigate these issues but result in poorer recommendations on their own, and hybrid solutions of ensembles of content and collaborative filtering are difficult to optimize.This talk proposes learning factorized representations of documents using both the content and usage signals simultaneously. Using both signals simultaneously encourages the content and usage signals to act as regularizers for each other. Also, this serves to keep the recommendation quality high while reducing the number of click-baits. This avoids the additional step of tuning often-used ensembled content and collaborative filtering based hybrid models.This research explores learning these shared factorized representations between the two views using the traditional matrix factorization framework as well as probabilistic approaches based on topic modeling. This talk shares the lessons learned from using both approaches and shows the impact of using these learned representations on recommendation quality.

2017

2016

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

   Aanchan Kumar Mohan

   2016

2015

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

   Aanchan Mohan, and Richard Rose

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

2014

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

   Aanchan Mohan, Richard Rose, Sina Hamidi Ghalehjegh, and 1 more author

   Speech Communication 2014
2. Deep neural network trained with speaker representation for speaker normalization

   Yun Tang, Aanchan Mohan, Richard C Rose, and 1 more author

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

2013

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

   Aanchan Mohan, and Richard Rose

   In 2013 IEEE Workshop on Automatic Speech Recognition and Understanding 2013

2012

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

   Aanchan Mohan, Sina Hamidi Ghalehjegh, and Richard C Rose

   In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2012
2. Subspace based acoustic modelling in Indian languages

   Aanchan Mohan, and Richard Rose

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