28 citations · 38 across the 13 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CL2018★ 2 cited
Articulatory Features for ASR of Pathological Speech
Emre Yılmaz, Vikramjit Mitra, Chris Bartels +1
In this work, we investigate the joint use of articulatory and acoustic features for automatic speech recognition (ASR) of pathological speech. Despite long-lasting efforts to buil…
cs.CL2018
Interpreting DNN output layer activations: A strategy to cope with unseen data in speech recognition
Vikramjit Mitra, Horacio Franco
Unseen data can degrade performance of deep neural net acoustic models. To cope with unseen data, adaptation techniques are deployed. For unlabeled unseen data, one must generate s…
cs.CL2018
Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition
Vikramjit Mitra, Wen Wang, Chris Bartels +2
This paper explores the use of multi-view features and their discriminative transforms in a convolutional deep neural network (CNN) architecture for a continuous large vocabulary s…