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Renuka Mannem

3 accepted papers

2021

Acoustic-to-Articulatory Inversion for Dysarthric Speech by Using Cross-Corpus Acoustic-Articulatory Data

ICASSP 2021accepted

In this work, we focus on estimating articulatory movements from acoustic features, known as acoustic-to-articulatory inversion (AAI), for dysarthric patients with amyotrophic lateral sclerosis (ALS). Unlike healthy subjects, there are two potential challenges involved in AAI on dysarthric speech. D…

Cited by 0SourceScholar
2019

Air-tissue Boundary Segmentation in Real Time Magnetic Resonance Imaging Video Using a Convolutional Encoder-decoder Network

ICASSP 2019accepted

In this paper, we propose a convolutional encoder-decoder network (CEDN) based approach for upper and lower Air-Tissue Boundary (ATB) segmentation within vocal tract in real-time magnetic resonance imaging (rtMRI) video frames. The output images from CEDN are processed using perimeter and moving ave…

Cited by 0SourceScholar
2019

An Improved Air Tissue Boundary Segmentation Technique for Real Time Magnetic Resonance Imaging Video Using Segnet

ICASSP 2019accepted

This paper presents an improved methodology for the segmentation of the Air-Tissue boundaries (ATBs) in the upper airway of the human vocal tract using Real-Time Magnetic Resonance Imaging (rtMRI) videos. Semantic segmentation is deployed in the proposed approach using a Deep learning architecture c…

Cited by 0SourceScholar