28 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.CL2019
Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice
Vikramjit Mitra, Sue Booker, Erik Marchi +6
Millions of people reach out to digital assistants such as Siri every day, asking for information, making phone calls, seeking assistance, and much more. The expectation is that su…
cs.CL2019★ 28 cited
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech
Emre Yılmaz, Vikramjit Mitra, Ganesh Sivaraman +1
The rapid population aging has stimulated the development of assistive devices that provide personalized medical support to the needies suffering from various etiologies. One promi…
cs.LG2017★ 4 cited
Leveraging Deep Neural Network Activation Entropy to cope with Unseen Data in Speech Recognition
Vikramjit Mitra, Horacio Franco
Unseen data conditions can inflict serious performance degradation on systems relying on supervised machine learning algorithms. Because data can often be unseen, and because tradi…