28 citations · 42 across the 8 of their papers we have counts for
10 papers · 1 filter
Speaker Diarization With Lexical Information
Tae Jin Park, Kyu Han, Ian Lane +1
This work presents a novel approach to leverage lexical information for speaker diarization. We introduce a speaker diarization system that can directly integrate lexical as well a…
Multi-label Multi-task Deep Learning for Behavioral Coding
James Gibson, David C. Atkins, Torrey Creed +3
We propose a methodology for estimating human behaviors in psychotherapy sessions using mutli-label and multi-task learning paradigms. We discuss the problem of behavioral coding i…
Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities
Prashanth Gurunath Shivakumar, Panayiotis Georgiou
Word vector representations are a crucial part of Natural Language Processing (NLP) and Human Computer Interaction. In this paper, we propose a novel word vector representation, Co…
Unsupervised Online Multitask Learning of Behavioral Sentence Embeddings
Shao-Yen Tseng, Brian Baucom, Panayiotis Georgiou
Unsupervised learning has been an attractive method for easily deriving meaningful data representations from vast amounts of unlabeled data. These representations, or embeddings, o…
Multimodal Speaker Segmentation and Diarization using Lexical and Acoustic Cues via Sequence to Sequence Neural Networks
Tae Jin Park, Panayiotis Georgiou
While there has been substantial amount of work in speaker diarization recently, there are few efforts in jointly employing lexical and acoustic information for speaker segmentatio…
Modeling Interpersonal Influence of Verbal Behavior in Couples Therapy Dyadic Interactions
Sandeep Nallan Chakravarthula, Brian Baucom, Panayiotis Georgiou
Dyadic interactions among humans are marked by speakers continuously influencing and reacting to each other in terms of responses and behaviors, among others. Understanding how int…