David Suendermann‐Oeft

Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech

Yu Zhou, Vikram Ramanarayanan, David Suendermann‐Oeft et al. · 2015 · 87 citations

Engineering, Machine Learning, Spoken Language Processing +21

Exploring ASR-free end-to-end modeling to improve spoken language understanding in a cloud-based dialog system

Yao Qian, Rutuja Ubale, Vikram Ramanaryanan et al. · 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · 2017 · 63 citations

Engineering, Machine Learning, Spoken Language Processing +24

An automated medical scribe for documenting clinical encounters

Gregory P. Finley, Erik Edwards, Amanda Robinson et al. · 2018 · 57 citations · Full text

Engineering, Computational Semantics, Corpus Linguistics +24

Evaluating Speech, Face, Emotion and Body Movement Time-series Features for Automated Multimodal Presentation Scoring

Vikram Ramanarayanan, Chee Wee Leong, Lei Chen et al. · 2015 · 48 citations

Fusing Features, Engineering, Machine Learning +23

Deep Learning for Punctuation Restoration in Medical Reports

Wael Salloum, Greg P. Finley, Erik Edwards et al. · 2017 · 30 citations · Full text