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20162023
most citedSpeaker Diarization with Lexical Information

28 citations · 42 across the 8 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

eess.AS2019

Automatic prediction of suicidal risk in military couples using multimodal interaction cues from couples conversations

Sandeep Nallan Chakravarthula, Md Nasir, Shao-Yen Tseng +6

Suicide is a major societal challenge globally, with a wide range of risk factors, from individual health, psychological and behavioral elements to socio-economic aspects. Military…

cs.CL2019

An analysis of observation length requirements for machine understanding of human behaviors from spoken language

Sandeep Nallan Chakravarthula, Brian Baucom, Shrikanth Narayanan +1

The task of quantifying human behavior by observing interaction cues is an important and useful one across a range of domains in psychological research and practice. Machine learni…

eess.AS2019

Linguistically Aided Speaker Diarization Using Speaker Role Information

Nikolaos Flemotomos, Panayiotis Georgiou, Shrikanth Narayanan

Speaker diarization relies on the assumption that speech segments corresponding to a particular speaker are concentrated in a specific region of the speaker space; a region which r…

eess.AS2019

Speaker-invariant Affective Representation Learning via Adversarial Training

Haoqi Li, Ming Tu, Jing Huang +2

Representation learning for speech emotion recognition is challenging due to labeled data sparsity issue and lack of gold standard references. In addition, there is much variabilit…

cs.LG2019★ 4 cited

Linking emotions to behaviors through deep transfer learning

Haoqi Li, Brian Baucom, Panayiotis Georgiou

Human behavior refers to the way humans act and interact. Understanding human behavior is a cornerstone of observational practice, especially in psychotherapy. An important cue of…

cs.CL2019

RNN based Incremental Online Spoken Language Understanding

Prashanth Gurunath Shivakumar, Naveen Kumar, Panayiotis Georgiou +1

Spoken Language Understanding (SLU) typically comprises of an automatic speech recognition (ASR) followed by a natural language understanding (NLU) module. The two modules process…