43 citations · 77 across the 6 of their papers we have counts for
6 papers
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions
Vasudha Kowtha, Vikramjit Mitra, Chris Bartels +5
Emotion plays an essential role in human-to-human communication, enabling us to convey feelings such as happiness, frustration, and sincerity. While modern speech technologies rely…
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…
Voices Obscured in Complex Environmental Settings (VOICES) corpus
Colleen Richey, Maria A. Barrios, Zeb Armstrong +11
This paper introduces the Voices Obscured In Complex Environmental Settings (VOICES) corpus, a freely available dataset under Creative Commons BY 4.0. This dataset will promote spe…
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…
On Triangulating Dynamic Graphical Models
Jeff A. Bilmes, Chris Bartels
This paper introduces new methodology to triangulate dynamic Bayesian networks (DBNs) and dynamic graphical models (DGMs). While most methods to triangulate such networks use some…
Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models
Chris Bartels, Jeff A. Bilmes
We observe that certain large-clique graph triangulations can be useful to reduce both computational and space requirements when making queries on mixed stochastic/deterministic gr…