Search Results for author: Mayank Jindal

Found 3 papers, 0 papers with code

A Novel Audio Representation for Music Genre Identification in MIR

no code implementations1 Apr 2024 Navin Kamuni, Mayank Jindal, Arpita Soni, Sukender Reddy Mallreddy, Sharath Chandra Macha

For Music Information Retrieval downstream tasks, the most common audio representation is time-frequency-based, such as Mel spectrograms.

Information Retrieval Music Information Retrieval +2

Cause and Effect: Can Large Language Models Truly Understand Causality?

no code implementations28 Feb 2024 Swagata Ashwani, Kshiteesh Hegde, Nishith Reddy Mannuru, Mayank Jindal, Dushyant Singh Sengar, Krishna Chaitanya Rao Kathala, Dishant Banga, Vinija Jain, Aman Chadha

The knowledge from ConceptNet enhances the performance of multiple causal reasoning tasks such as causal discovery, causal identification and counterfactual reasoning.

Causal Discovery Causal Identification +2

Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers

no code implementations14 Sep 2021 Dinesh Kumar Vishwakarma, Mayank Jindal, Ayush Mittal, Aditya Sharma

Short duration movie trailers provide useful insights about the movie as video content consists of the cognitive and the affective level features.

Classification Genre classification

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