Renuka Mannem

According to our database, Renuka Mannem authored at least 10 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

A deep neural network based correction scheme for improved air-tissue boundary prediction in real-time magnetic resonance imaging video.

Renuka Mannem, Prasanta Kumar Ghosh

Comput. Speech Lang., 2021

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

Sarthak Kumar Maharana, Aravind Illa, Renuka Mannem, Yamini Belur, Preetie Shetty, Preethish-Kumar Veeramani, Seena Vengalil, Kiran Polavarapu, Atchayaram Nalini, Prasanta Kumar Ghosh

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Speech rate estimation using representations learned from speech with convolutional neural network.

Renuka Mannem, Hima Jyothi, Aravind Illa, Prasanta Kumar Ghosh

Proceedings of the International Conference on Signal Processing and Communications, 2020

Speech Rate Task-Specific Representation Learning from Acoustic-Articulatory Data.

Renuka Mannem, Hima Jyothi R., Aravind Illa, Prasanta Kumar Ghosh

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Air-Tissue Boundary Segmentation in Real Time Magnetic Resonance Imaging Video Using 3-D Convolutional Neural Network.

Renuka Mannem, Navaneetha Gaddam, Prasanta Kumar Ghosh

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

A SegNet Based Image Enhancement Technique for Air-Tissue Boundary Segmentation in Real-Time Magnetic Resonance Imaging Video.

Renuka Mannem, Valliappan Ca, Prasanta Kumar Ghosh

Proceedings of the National Conference on Communications, 2019

Acoustic and Articulatory Feature Based Speech Rate Estimation Using a Convolutional Dense Neural Network.

Renuka Mannem, Jhansi Mallela, Aravind Illa, Prasanta Kumar Ghosh

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

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

C. A. Valliappan, Avinash Kumar, Renuka Mannem, Girija Ramesan Karthik, Prasanta Kumar Ghosh

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Renuka Mannem, Prasanta Kumar Ghosh

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Air-Tissue Boundary Segmentation in Real-Time Magnetic Resonance Imaging Video Using Semantic Segmentation with Fully Convolutional Networks.

C. A. Valliappan, Renuka Mannem, Prasanta Kumar Ghosh

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018