Search Results for author: Rohit Sinha

Found 8 papers, 0 papers with code

Analyzing the Effect of Data Impurity on the Detection Performances of Mental Disorders

no code implementations9 Aug 2023 Rohan Kumar Gupta, Rohit Sinha

In this study, we investigate this hypothesis in the context of major depressive disorder (MDD) and post-traumatic stress disorder detection (PTSD).

Significance of Data Augmentation for Improving Cleft Lip and Palate Speech Recognition

no code implementations2 Oct 2021 Protima Nomo Sudro, Rohan Kumar Das, Rohit Sinha, S. R. Mahadeva Prasanna

The automatic recognition of pathological speech, particularly from children with any articulatory impairment, is a challenging task due to various reasons.

Data Augmentation speech-recognition +1

Joint Language Identification of Code-Switching Speech using Attention based E2E Network

no code implementations15 Jul 2019 Sreeram Ganji, Kunal Dhawan, Kumar Priyadarshi, Rohit Sinha

For the automatic recognition of code-switching speech, the conventional approaches often employ an LID system for detecting the languages present within an utterance.

Language Identification

Language Modeling for Code-Switched Data: Challenges and Approaches

no code implementations9 Nov 2017 Ganji Sreeram, Rohit Sinha

Lately, the problem of code-switching has gained a lot of attention and has emerged as an active area of research.

Language Modelling POS

Correlation and Class Based Block Formation for Improved Structured Dictionary Learning

no code implementations4 Aug 2017 Nagendra Kumar, Rohit Sinha

The existing works mostly assume that the block structure is known a priori while learning the dictionary.

Clustering Dictionary Learning +2

An Unsupervised Method for Detection and Validation of The Optic Disc and The Fovea

no code implementations25 Jan 2016 Mrinal Haloi, Samarendra Dandapat, Rohit Sinha

In this work, we have presented a novel method for detection of retinal image features, the optic disc and the fovea, from colour fundus photographs of dilated eyes for Computer-aided Diagnosis(CAD) system.

A Gaussian Scale Space Approach For Exudates Detection, Classification And Severity Prediction

no code implementations4 May 2015 Mrinal Haloi, Samarendra Dandapat, Rohit Sinha

In the context of Computer Aided Diagnosis system for diabetic retinopathy, we present a novel method for detection of exudates and their classification for disease severity prediction.

General Classification severity prediction

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