Deepu Vijayasenan

发表

Deep Learning Model based Ki-67 Index estimation with Automatically Labelled Data

Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A Deep Learning Model For The Automatic Detection Of Malignancy In Effusion Cytology

Deepu Vijayasenan, D. S. Sumam, Saraswathy Sreeram, 2020, 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

Frequency Contour Modeling to Synthesize Natural Flute Renditions for Carnatic Music

Deepu Vijayasenan, Anand Ashtamoorthy, Pranav Prasad, 2018, 2018 International Conference on Signal Processing and Communications (SPCOM).

Predicting $Gamaka$ s—The Essential Embellishments in Karnatic Music

Deepu Vijayasenan, Ashwin Vijayakumar, M. Ragesh Rajan, 2019, IEEE Access.

Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset

Sumam David S., Deepu Vijayasenan, D. S. Sumam, 2022, 2023 2nd International Conference on Computational Systems and Communication (ICCSC).

NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling pdf

Deepu Vijayasenan, Sriram Ganapathy, V PrashantKrishnan, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic speaker profiling from short duration speech data

Deepu Vijayasenan, Sriram Ganapathy, Shareef Babu Kalluri, 2020, Speech Commun..

A Deep Neural Network Based End to End Model for Joint Height and Age Estimation from Short Duration Speech

Deepu Vijayasenan, Sriram Ganapathy, Shareef Babu Kalluri, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Information Theoretic Approach to Speaker Diarization of Meeting Data

Fabio Valente, Deepu Vijayasenan, Hervé Bourlard, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments

Kaustubh Kulkarni, Deepu Vijayasenan, Shreyas Ramoji, 2023, ArXiv.

LipiTk: a generic toolkit for online handwriting recognition

Deepu Vijayasenan, Sriganesh Madhvanath, Thanigai Murugan Kadiresan, 2007, SIGGRAPH Courses.

COVID-19 Patient Detection from Telephone Quality Speech Data pdf

Deepu Vijayasenan, Kotra Venkata Sai Ritwik, Shareef Babu Kalluri, 2020, ArXiv.

An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization

Fabio Valente, Deepu Vijayasenan, Hervé Bourlard, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

An Information Theoretic Approach to Speaker Diarization of Meeting Recordings

Deepu Vijayasenan, Deepu Vijayasenan, 2010 .

COVID-19 Detection from Spectral Features on the DiCOVA Dataset

Deepu Vijayasenan, Kotra Venkata Sai Ritwik, Shareef Babu Kalluri, 2021, Interspeech.

A novel approach for classification of normal/abnormal phonocardiogram recordings using temporal signal analysis and machine learning

Deepu Vijayasenan, Saurabh Nair, Sachin Vernekar, 2016, 2016 Computing in Cardiology Conference (CinC).

DiarTk : An Open Source Toolkit for Research in Multistream Speaker Diarization and its Application to Meetings Recordings

Fabio Valente, Deepu Vijayasenan, F. Valente, 2012, INTERSPEECH.

An Integrated Deep Learning Approach towards Automatic Evaluation of Ki-67 Labeling Index

Deepu Vijayasenan, David S. Sumam, S. Lakshmi, 2019, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON).

Variational Bayesian speaker diarization of meeting recordings

P. Motlícek, F. Valente, Deepu Vijayasenan, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Method for predictive text entry for continuous online handwriting input

Deepu Vijayasenan, Sriganesh Madhvanath, Ajay Bhaskarabhatia, 2005 .