no code implementations • 30 Nov 2021 • Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry.
1 code implementation • 9 Jun 2020 • Manraj Singh Grover, Pakhi Bamdev, Ratin Kumar Brala, Yaman Kumar, Mika Hama, Rajiv Ratn Shah
The tool allows audio data and their corresponding annotations to be uploaded and assigned to a user through a key-based API.
no code implementations • 17 May 2020 • Manraj Singh Grover, Yaman Kumar, Sumit Sarin, Payman Vafaee, Mika Hama, Rajiv Ratn Shah
In this study, we propose a novel multi-modal end-to-end neural approach for automated assessment of non-native English speakers' spontaneous speech using attention fusion.
1 code implementation • 26 Nov 2019 • Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover, Yi Yu, Ajit Kumar, Rajiv Ratn Shah
We then model the highly multi-modal problem of text to face generation as learning the conditional distribution of faces (conditioned on text) in same latent space.
no code implementations • 26 Nov 2019 • Baani Leen Kaur Jolly, Palash Aggrawal, Surabhi S. Nath, Viresh Gupta, Manraj Singh Grover, Rajiv Ratn Shah
Brain Computer Interfaces (BCI) have become very popular with Electroencephalography (EEG) being one of the most commonly used signal acquisition techniques.
no code implementations • 28 Oct 2018 • Karanbir Chahal, Manraj Singh Grover, Kuntal Dey
Deep learning has led to tremendous advancements in the field of Artificial Intelligence.