50 citations · 113 across the 13 of their papers we have counts for
4 papers · 1 filter
Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers
Zeqian Li, Jacob Whitehill
We propose a new method for speaker diarization that can handle overlapping speech with 2+ people. Our method is based on compositional embeddings [1]: Like standard speaker embedd…
Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate
Anand Ramakrishnan, Brian Zylich, Erin Ottmar +2
In this work we present a multi-modal machine learning-based system, which we call ACORN, to analyze videos of school classrooms for the Positive Climate (PC) and Negative Climate…
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
Nataniel Ruiz, Hao Yu, Danielle A. Allessio +10
In this work, we propose a video-based transfer learning approach for predicting problem outcomes of students working with an intelligent tutoring system (ITS). By analyzing a stud…
Compositional Embeddings for Multi-Label One-Shot Learning
Zeqian Li, Michael C. Mozer, Jacob Whitehill
We present a compositional embedding framework that infers not just a single class per input image, but a set of classes, in the setting of one-shot learning. Specifically, we prop…