Search Results for author: Nadee Seneviratne

Found 4 papers, 0 papers with code

Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals

no code implementations11 Mar 2022 Rahil Parikh, Nadee Seneviratne, Ganesh Sivaraman, Shihab Shamma, Carol Espy-Wilson

We used U. of Wisconsin X-ray Microbeam (XRMB) database of clean speech signals to train a feed-forward deep neural network (DNN) to estimate articulatory trajectories of six tract variables.

Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model

no code implementations9 Apr 2021 Nadee Seneviratne, Carol Espy-Wilson

The ACFs derived from the vocal tract variables (TVs) are used to train a dilated Convolutional Neural Network based depression classification model to obtain segment-level predictions.

Binary Classification Classification +1

Generalized Dilated CNN Models for Depression Detection Using Inverted Vocal Tract Variables

no code implementations13 Nov 2020 Nadee Seneviratne, Carol Espy-Wilson

We show that ACFs derived from Vocal Tract Variables (TVs) show promise as a robust set of features for depression detection.

Cross-corpus Depression Detection

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