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Mannem, R and Jyothi, H and Illa, A and Ghosh, PK (2020) Speech rate estimation using representations learned from speech with convolutional neural network. In: SPCOM 2020 - International Conference on Signal Processing and Communications, 19 July - 24 July 2020, Bangalore.
Maharana, SK and Illa, A and Mannem, R and Belur, Y and Shetty, P and Kumar, VP and Vengalil, S and Polavarapu, K and Atchayaram, N and Ghosh, PK (2021) Acoustic-to-articulatory inversion for dysarthric speech by using cross-corpus acoustic-articulatory data. In: 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021, 6-11 Jun 2021, Toronto, pp. 6458-6462.
Mannem, R and Gaddam, N and Ghosh, PK (2020) Air-tissue boundary segmentation in real time magnetic resonance imaging video using 3-d convolutional neural network. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 25 October 2020 through 29 October 2020, Shanghai; China, pp. 1396-1400.
Mannem, R and Hima Jyothi, R and Illa, A and Ghosh, PK (2020) Speech rate task-specific representation learning from acoustic-articulatory data. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 25-29 October 2020, Shanghai; China, pp. 2892-2896.
Mannem, R and Mallela, J and Illa, A and Ghosh, PK (2019) Acoustic and articulatory feature based speech rate estimation using a convolutional dense neural network. In: 20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019, 15 - 19 September 2019, Graz, pp. 929-933.
Mannem, R and Ghosh, PK (2019) Air-tissue Boundary Segmentation in Real Time Magnetic Resonance Imaging Video Using a Convolutional Encoder-decoder Network. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12 - 17 May 2019, Brighton, pp. 5941-5945.
Valliappan, CA and Kumar, A and Mannem, R and Karthik, GR and Ghosh, PK (2019) An Improved Air Tissue Boundary Segmentation Technique for Real Time Magnetic Resonance Imaging Video Using Segnet. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12 May 2019 - 17 May 2019, Brighton, pp. 5921-5925.
Mannem, R and Ca, V and Ghosh, PK (2019) A SegNet based image enhancement technique for air-tissue boundary segmentation in real-time magnetic resonance imaging video. In: 25th National Conference on Communications, NCC 2019, 20 - 23 February 2019, Bangalore.
Mannem, R and Ghosh, PK (2021) A deep neural network based correction scheme for improved air-tissue boundary prediction in real-time magnetic resonance imaging video. In: Computer Speech and Language, 66 .
