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Nadee Seneviratne
Nadee Seneviratne
Verified email at terpmail.umd.edu
Title
Cited by
Cited by
Year
Multi-Modal Learning for Speech Emotion Recognition: An Analysis and Comparison of ASR Outputs with Ground Truth Transcription
S Sahu, V Mitra, N Seneviratne, C Espy-Wilson
Proc. Interspeech 2019, 3302-3306, 2019
392019
Assessing Neuromotor Coordination in Depression Using Inverted Vocal Tract Variables
C Espy-Wilson, A Lammert, N Seneviratne, T Quatieri
Proc. Interspeech 2019, 1448-1452, 2019
282019
Extended Study on the Use of Vocal Tract Variables to Quantify Neuromotor Coordination in Depression.
N Seneviratne, JR Williamson, AC Lammert, TF Quatieri, CY Espy-Wilson
Interspeech, 4551-4555, 2020
272020
Multi-Corpus Acoustic-to-Articulatory Speech Inversion
N Seneviratne, G Sivaraman, C Espy-Wilson
Proc. Interspeech 2019, 859-863, 2019
202019
Speech based depression severity level classification using a multi-stage dilated cnn-lstm model
N Seneviratne, C Espy-Wilson
arXiv preprint arXiv:2104.04195, 2021
132021
Generalized Dilated CNN Models for Depression Detection Using Inverted Vocal Tract Variables
N Seneviratne, C Espy-Wilson
arXiv preprint arXiv:2011.06739, 2020
13*2020
Noise Robust Acoustic to Articulatory Speech Inversion.
N Seneviratne, G Sivaraman, V Mitra, CY Espy-Wilson
Interspeech, 3137-3141, 2018
132018
Multimodal depression classification using articulatory coordination features and hierarchical attention based text embeddings
N Seneviratne, C Espy-Wilson
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
82022
Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
R Parikh, N Seneviratne, G Sivaraman, S Shamma, C Espy-Wilson
arXiv preprint arXiv:2203.05780, 2022
12022
Multimodal Depression Severity Score Prediction Using Articulatory Coordination Features and Hierarchical Attention Based Text Embeddings
N Seneviratne, C Espy-Wilson
Proc. Interspeech 2022, 3353-3357, 2022
12022
Classification of Depression by Quantifying Neuromotor Coordination Using Inverted Vocal Tract Variables
N Seneviratne, C Espy-Wilson, J Williamson, A Lammert, T Quatieri
1
Generalizable Depression Detection and Severity Prediction Using Articulatory Representations of Speech
N Seneviratne
University of Maryland, College Park, 2022
2022
Emotion recognition with speech articulatory coordination features
YM Siriwardena, N Seneviratne, C Espy-Wilson
The Journal of the Acoustical Society of America 150 (4_Supplement), A358-A358, 2021
2021
The Effect of Major Depressive Disorder on Producing Intelligible Speech
N Seneviratne, L Li, C Espy-Wilson
Available at SSRN 4673658, 0
Multitask learning based multi-corpus acoustic-to-articulatory speech inversion
G Sivaraman, N Seneviratne, C Espy-Wilson
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Articles 1–15