Satvik Dixit

According to our database, Satvik Dixit authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence.

Sonal Kumar, Simon Sedlácek, Vaibhavi Lokegaonkar, Fernando López, Wenyi Yu, Nishit Anand, Hyeonggon Ryu, Lichang Chen, Maxim Plicka, Miroslav Hlavácek, William Fineas Ellingwood, Sathvik Udupa, Siyuan Hou, Allison Ferner, Sara Barahona, Cecilia Bolaños, Satish Rahi, Laura Herrera-Alarcón, Satvik Dixit, Rupali S. Patil, Soham Deshmukh, Lasha Koroshinadze, Yao Liu, Leibny Paola García-Perera, Eleni Zanou, Themos Stafylakis, Joon Son Chung, David Harwath, Chao Zhang, Dinesh Manocha, Alicia Lozano-Diez, Santosh Kesiraju, Sreyan Ghosh, Ramani Duraiswami

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FoleyBench: A Benchmark For Video-to-Audio Models.

Satvik Dixit, Koichi Saito, Zhi Zhong, Yuki Mitsufuji, Chris Donahue

CoRR, November, 2025

AURA Score: A Metric For Holistic Audio Question Answering Evaluation.

Satvik Dixit, Soham Deshmukh, Bhiksha Raj

CoRR, October, 2025

Mellow: a small audio language model for reasoning.

Soham Deshmukh, Satvik Dixit, Rita Singh, Bhiksha Raj

CoRR, March, 2025

Learning Perceptually Relevant Temporal Envelope Morphing.

Satvik Dixit, Sungjoon Park, Chris Donahue, Laurie M. Heller

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2025

MACE: Leveraging Audio for Evaluating Audio Captioning Systems.

Satvik Dixit, Soham Deshmukh, Bhiksha Raj

Proceedings of the IEEE International Conference on Acoustics, 2025

2024

Vision Language Models Are Few-Shot Audio Spectrogram Classifiers.

Satvik Dixit, Laurie M. Heller, Chris Donahue

CoRR, 2024

Improving Speaker Representations Using Contrastive Losses on Multi-scale Features.

Satvik Dixit, Massa Baali, Rita Singh, Bhiksha Raj

CoRR, 2024

Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features.

Satvik Dixit, Daniel M. Low, Gasser Elbanna, Fabio Catania, Satrajit S. Ghosh

CoRR, 2024