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09/17/2023
Improving Speech Inversion Through Self-Supervised Embeddings and Enhanced Tract Variables
The performance of deep learning models depends significantly on their c...
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09/12/2023
Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults
Recent advancements in Automatic Speech Recognition (ASR) systems, exemp...
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10/29/2022
Learning to Compute the Articulatory Representations of Speech with the MIRRORNET
Most organisms including humans function by coordinating and integrating...
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10/29/2022
The Secret Source : Incorporating Source Features to Improve Acoustic-to-Articulatory Speech Inversion
In this work, we incorporated acoustically derived source features, aper...
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10/27/2022
Masked Autoencoders Are Articulatory Learners
Articulatory recordings track the positions and motion of different arti...
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06/20/2022
An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models
End-to-end learning models have demonstrated a remarkable capability in ...
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03/11/2022
Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
Multi-resolution spectro-temporal features of a speech signal represent ...
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03/08/2022
Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems
Recent advancements in deep learning have led to drastic improvements in...
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02/13/2022
Multimodal Depression Classification Using Articulatory Coordination Features And Hierarchical Attention Based Text Embeddings
Multimodal depression classification has gained immense popularity over ...
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10/09/2021
Multimodal Approach for Assessing Neuromotor Coordination in Schizophrenia Using Convolutional Neural Networks
This study investigates the speech articulatory coordination in schizoph...
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04/09/2021
Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model
Speech based depression classification has gained immense popularity ove...
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11/13/2020
Deep Learning Based Generalized Models for Depression Classification
Depression detection using vocal biomarkers is a highly researched area....
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11/11/2020
Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
With robotics rapidly advancing, more effective human-robot interaction ...
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10/31/2019
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks
Emotion recognition is a classic field of research with a typical setup ...
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06/18/2018
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks
Generative Adversarial Networks (GANs) have gained a lot of attention fr...
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06/07/2018
Semi-supervised and Transfer learning approaches for low resource sentiment classification
Sentiment classification involves quantifying the affective reaction of ...
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06/06/2018