Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording. - Benjamin Elizalde; Anurag Kumar 003; Ankit Shah 001; Rohan Badlani; Emmanuel Vincent 001; Bhiksha Raj; Ian R. Lane (DCASE, 2016)

An Approach for Self-Training Audio Event Detectors Using Web Data. - Ankit Shah 001; Rohan Badlani; Anurag Kumar 003; Benjamin Elizalde; Bhiksha Raj (CoRR, 2016)

An approach for self-training audio event detectors using web data. - Benjamin Elizalde; Ankit Shah 001; Siddharth Dalmia; Min Hun Lee; Rohan Badlani; Anurag Kumar 003; Bhiksha Raj; Ian R. Lane (EUSIPCO, 2017)

Pattern-Based Automatic Parallelization of Representative-Based Clustering Algorithms. - Saiyedul Islam; Sundar Balasubramaniam; Shruti Gupta; Shikhar Brajesh; Rohan Badlani; Nitin Labhishetty; Abhinav Baid; Poonam Goyal; Navneet Goyal (DSAA, 2018)

Framework for Evaluation of Sound Event Detection in Web Videos. - Rohan Badlani; Ankit Shah 001; Benjamin Elizalde; Anurag Kumar 003; Bhiksha Raj (ICASSP, 2018)

Content-Based Representations of Audio Using Siamese Neural Networks. - Pranay Manocha; Rohan Badlani; Anurag Kumar 003; Ankit Shah 001; Benjamin Elizalde; Bhiksha Raj (ICASSP, 2018)

NELS - Never-Ending Learner of Sounds. - Benjamin Elizalde; Rohan Badlani; Ankit Shah 001; Anurag Kumar 003; Bhiksha Raj (CoRR, 2018)

An Ensemble of Humour, Sarcasm, and Hate Speechfor Sentiment Classification in Online Reviews. - Rohan Badlani; Nishit Asnani; Manan Rai (W-NUT@EMNLP, 2019)

Relation Extraction with Contextualized Relation Embedding (CRE). - Xiaoyu Chen; Rohan Badlani (CoRR, 2020)

Automatic parallelization of representative-based clustering algorithms for multicore cluster systems. - Saiyedul Islam; Sundar Balasubramaniam; Shruti Gupta; Shikhar Brajesh; Rohan Badlani; Nitin Labhishetty; Abhinav Baid; Poonam Goyal; Navneet Goyal (Int. J. Data Sci. Anal., 2020)

One TTS Alignment to Rule Them All. - Rohan Badlani; Adrian Lancucki; Kevin J. Shih; Rafael Valle; Wei Ping; Bryan Catanzaro (ICASSP, 2022)

Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows. - Kevin J. Shih; Rafael Valle; Rohan Badlani; João Felipe Santos; Bryan Catanzaro (CoRR, 2022)

Vani: Very-Lightweight Accent-Controllable TTS for Native And Non-Native Speakers With Identity Preservation. - Rohan Badlani; Akshit Arora; Subhankar Ghosh; Rafael Valle; Kevin J. Shih; João Felipe Santos; Boris Ginsburg; Bryan Catanzaro (ICASSP, 2023)

High-Acoustic Fidelity Text To Speech Synthesis With Fine-Grained Control Of Speech Attributes. - Rafael Valle; João Felipe Santos; Kevin J. Shih; Rohan Badlani; Bryan Catanzaro (ICASSP, 2023)

RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech. - Rohan Badlani; Rafael Valle; Kevin J. Shih; João Felipe Santos; Siddharth Gururani; Bryan Catanzaro (INTERSPEECH, 2023)

P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting. - Sungwon Kim 001; Kevin J. Shih; Rohan Badlani; João Felipe Santos; Evelina Bakhturina; Mikyas T. Desta; Rafael Valle; Sungroh Yoon; Bryan Catanzaro (NeurIPS, 2023)

Multilingual Multiaccented Multispeaker TTS with RADTTS. - Rohan Badlani; Rafael Valle; Kevin J. Shih; João Felipe Santos; Siddharth Gururani; Bryan Catanzaro (CoRR, 2023)

Scaling Nvidia's Multi-Speaker Multi-Lingual TTS Systems With Zero-Shot TTS to Indic Languages. - Akshit Arora; Rohan Badlani; Sungwon Kim 001; Rafael Valle; Bryan Catanzaro (ICASSP Workshops, 2024)

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. - Zhifeng Kong; Arushi Goel; Rohan Badlani; Wei Ping; Rafael Valle; Bryan Catanzaro (ICML, 2024)

Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment. - Paarth Neekhara; Shehzeen Hussain; Subhankar Ghosh; Jason Li; Rafael Valle; Rohan Badlani; Boris Ginsburg (CoRR, 2024)

Fugatto 1: Foundational Generative Audio Transformer Opus 1. - Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim 001; João Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih; et al. (ICLR, 2025)