Siddharth Gururani

According to our database, Siddharth Gururani authored at least 27 papers between 2016 and 2026.

Collaborative distances:

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

2026

Benchmarking Single-Factor Physical Video-to-Audio Generation.

Tingle Li, Siddharth Gururani, Kevin J. Shih, Gantavya Bhatt, Sang-gil Lee, Zhifeng Kong, Arushi Goel, Gopala Anumanchipalli, Ming-Yu Liu

CoRR, May, 2026

Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music.

Sreyan Ghosh, Arushi Goel, Kaousheik Jayakumar, Lasha Koroshinadze, Nishit Anand, Zhifeng Kong, Siddharth Gururani, Sang-gil Lee, Jaehyeon Kim, Aya Aljafari, Chao-Han Huck Yang, Sungwon Kim, Ramani Duraiswami, Dinesh Manocha, Mohammad Shoeybi, Bryan Catanzaro, Ming-Yu Liu, Wei Ping

CoRR, April, 2026

MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos.

Arushi Goel, Sreyan Ghosh, Vatsal Agarwal, Nishit Anand, Kaousheik Jayakumar, Lasha Koroshinadze, Yao Xu, Katie Lyons, James Case, Karan Sapra, Kevin J. Shih, Siddharth Gururani, Abhinav Shrivastava, Ramani Duraiswami, Dinesh Manocha, Andrew Tao, Bryan Catanzaro, Mohammad Shoeybi, Wei Ping

CoRR, March, 2026

2025

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning.

Alisson G. Azzolini, Hannah Brandon, Prithvijit Chattopadhyay, Huayu Chen, Jinju Chu, Yin Cui, Jenna Diamond, Yifan Ding, Francesco Ferroni, Rama Govindaraju, Jinwei Gu, Siddharth Gururani, Imad El Hanafi, Zekun Hao, Jacob Samuel Huffman, Jingyi Jin, Brendan Johnson, Rizwan Khan, George Kurian, Elena Lantz, Nayeon Lee, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Yen-Chen Lin, Ming-Yu Liu, Alice Luo, Andrew Mathau, Yun Ni, Lindsey Pavao, Wei Ping, David W. Romero, Misha Smelyanskiy, Shuran Song, Lyne Tchapmi, Andrew Z. Wang, Boxin Wang, Haoxiang Wang, Fangyin Wei, Jiashu Xu, Yao Xu, Xiaodong Yang, Zhuolin Yang, Xiaohui Zeng, Zhe Zhang

CoRR, March, 2025

Cosmos World Foundation Model Platform for Physical AI.

Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski

CoRR, January, 2025

Fugatto 1: Foundational Generative Audio Transformer Opus 1.

Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, João Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander H. Liu, Kevin J. Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models.

Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang

CoRR, 2024

ExpressiveSinger: Multilingual and Multi-Style Score-based Singing Voice Synthesis with Expressive Performance Control.

Shuqi Dai, Ming-Yu Liu, Rafael Valle, Siddharth Gururani

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion.

Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Multilingual Multiaccented Multispeaker TTS with RADTTS.

Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro

CoRR, 2023

RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech.

Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

SPACE: Speech-driven Portrait Animation with Controllable Expression.

Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

SPACEx: Speech-driven Portrait Animation with Controllable Expression.

Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu

CoRR, 2022

Anomalous behaviour in loss-gradient based interpretability methods.

Vinod Subramanian, Siddharth Gururani, Emmanouil Benetos, Mark B. Sandler

CoRR, 2022

2021

Weakly Supervised Learning for Musical Instrument Classification.

Siddharth Kumar Gururani

PhD thesis, 2021

Semi-Supervised Audio Classification with Partially Labeled Data.

Siddharth Gururani, Alexander Lerch

Proceedings of the IEEE International Symposium on Multimedia, 2021

2020

An Interdisciplinary Review of Music Performance Analysis.

Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani

Trans. Int. Soc. Music. Inf. Retr., 2020

Visual Attention for Musical Instrument Recognition.

Karn Watcharasupat, Siddharth Gururani, Alexander Lerch

CoRR, 2020

dMelodies: A Music Dataset for Disentanglement Learning.

Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Score-informed Networks for Music Performance Assessment.

Jiawen Huang, Yun-Ning Hung, Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features.

Siddharth Gururani, Kilol Gupta, Dhaval Shah, Zahra Shakeri, Jervis Pinto

CoRR, 2019

Music Performance Analysis: A Survey.

Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

An Attention Mechanism for Musical Instrument Recognition.

Siddharth Gururani, Mohit Sharma, Alexander Lerch

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018

Instrument Activity Detection in Polyphonic Music using Deep Neural Networks.

Siddharth Gururani, Cameron Summers, Alexander Lerch

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017

Objective Descriptors for the Assessment of Student Music Performances.

Amruta Vidwans, Siddharth Gururani, Chih-Wei Wu, Vinod Subramanian, Rupak Swaminathan, Alexander Lerch

Proceedings of the AES International Conference Semantic Audio 2017, 2017

Automatic Sample Detection in Polyphonic Music.

Siddharth Gururani, Alexander Lerch

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016

Automatic Practice Logging: Introduction, Dataset & Preliminary Study.

R. Michael Winters, Siddharth Gururani, Alexander Lerch

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016