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05/22/2023
Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training
End-to-end (E2E) spoken language understanding (SLU) is constrained by t...
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12/08/2021
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
Training speaker-discriminative and robust speaker verification systems ...
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04/05/2021
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition
Key challenges in developing generalized automatic emotion recognition s...
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04/01/2021
Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks
Speech encodes a wealth of information related to human behavior and has...
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02/10/2020
An empirical analysis of information encoded in disentangled neural speaker representations
The primary characteristic of robust speaker representations is that the...
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11/04/2019
Speaker-invariant Affective Representation Learning via Adversarial Training
Representation learning for speech emotion recognition is challenging du...
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10/08/2019
Linking emotions to behaviors through deep transfer learning
Human behavior refers to the way humans act and interact. Understanding ...
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08/02/2019
Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language
Cancer impacts the quality of life of those diagnosed as well as their s...
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02/07/2018
Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling
Automatic speech recognition (ASR) systems lack joint optimization durin...
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06/14/2016
