Search Results for author: Uma Shanker Tiwary

Found 10 papers, 1 papers with code

Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context

no code implementations25 Oct 2022 Mohammad Asif, Sudhakar Mishra, Majithia Tejas Vinodbhai, Uma Shanker Tiwary

We used EEG signals to classify emotional events on different combinations of Valence(V) and Arousal(A) dimensions and compared the results with benchmark datasets of DEAP and SEED.

EEG Emotion Recognition

An Affective Video Database using Multimedia Content Analysis rated on Indian samples

no code implementations18 Oct 2022 Sudhakar Mishra, Narayanan Srinivasan, Uma Shanker Tiwary

Moreover, the available dataset on affective multimedia content has some experimenter bias in the initial manual selection of affective multimedia content.

Analysis of Microstate Organization During Emotional Events

no code implementations16 Oct 2022 Sudhakar Mishra, Narayanan Srinivasan, Uma Shanker Tiwary

A set of MS related to neutral condition was source localized to brain regions involved in higher-level sensory feature processing.

EEG

Real-time Emotion and Gender Classification using Ensemble CNN

no code implementations15 Nov 2021 Abhinav Lahariya, Varsha Singh, Uma Shanker Tiwary

This paper is the implementation of an Ensemble CNN for building a real-time system that can detect emotion and gender of the person.

Classification Emotion Classification +1

Analyzing Effect of Repeated Reading on Oral Fluency and Narrative Production for Computer-Assisted Language Learning

no code implementations25 Jun 2020 Santosh Kumar Barnwal, Uma Shanker Tiwary

Repeated reading (RR) helps learners, who have little to no experience with reading fluently to gain confidence, speed and process words automatically.

A Hybrid Approach For Hindi-English Machine Translation

1 code implementation6 Feb 2017 Omkar Dhariya, Shrikant Malviya, Uma Shanker Tiwary

In this paper, an extended combined approach of phrase based statistical machine translation (SMT), example based MT (EBMT) and rule based MT (RBMT) is proposed to develop a novel hybrid data driven MT system capable of outperforming the baseline SMT, EBMT and RBMT systems from which it is derived.

Machine Translation Translation

Cannot find the paper you are looking for? You can Submit a new open access paper.