Prem Seetharaman

71 papers A* 10A 1Misc 11Journal 35Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Audio Hallucination Attacks: Probing the Reliability of Large Audio Language Models.
CoRR
Ashish Seth, Sonal Kumar, Ramaneswaran Selvakumar, Nishit Anand, Utkarsh Tyagi, Prem Seetharaman, Ramani Duraiswami, Dinesh Manocha
2026 J jnl
AudioChat: Unified Audio Storytelling, Editing, and Understanding with Transfusion Forcing.
CoRR
William Chen, Prem Seetharaman, Rithesh Kumar, Oriol Nieto, Shinji Watanabe, Justin Salamon, Zeyu Jin
2026 J jnl
Audiocards: Structured Metadata Improves Audio Language Models For Sound Design.
CoRR
Sripathi Sridhar, Prem Seetharaman, Oriol Nieto, Mark Cartwright, Justin Salamon
2026 J jnl
Generative Audio Extension and Morphing.
CoRR
Prem Seetharaman, Oriol Nieto, Justin Salamon
2026 J jnl
Mix2Morph: Learning Sound Morphing from Noisy Mixes.
CoRR
Annie Chu, Hugo Flores García, Oriol Nieto, Justin Salamon, Bryan Pardo, Prem Seetharaman
2026 A* conf
MoSound: An Interactive Tool for Generative Sound Design in Motion Graphics.
CHI
Jialin Huang, Prem Seetharaman, Timothy Richard Langlois, Li-Yi Wei, Rubaiat Habib Kazi, Yotam I. Gingold
2026 A* conf
SoundStager: Interactive Design of Story-Driven GenAI Soundscapes for Video.
CHI
Suhyeon Yoo, Adolfo Hernandez Santisteban, Prem Seetharaman, Justin Salamon, Oriol Nieto, Anh Truong
2026 J jnl
TAC: Timestamped Audio Captioning.
CoRR
Sonal Kumar, Prem Seetharaman, Ke Chen, Oriol Nieto, Jiaqi Su, Zhepei Wang, Rithesh Kumar, Dinesh Manocha, Nicholas J. Bryan, Zeyu Jin, Justin Salamon
2025 Misc conf
Code Drift: Towards Idempotent Neural Audio Codecs.
ICASSP
Patrick O'Reilly, Prem Seetharaman, Jiaqu Su, Zeyu Jin, Bryan Pardo
2025 A* conf
FLAM: Frame-Wise Language-Audio Modeling.
ICML
Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron C. Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon
2025 J jnl
FLAM: Frame-Wise Language-Audio Modeling.
CoRR
Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron C. Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon
2025 J jnl
PromptSep: Generative Audio Separation via Multimodal Prompting.
CoRR
Yutong Wen, Ke Chen, Prem Seetharaman, Oriol Nieto, Jiaqi Su, Rithesh Kumar, Minje Kim, Paris Smaragdis, Zeyu Jin, Justin Salamon
2025 — conf
SILA: Signal-to-Language Augmentation for Enhanced Control in Text-to-Audio Generation.
WASPAA
Sonal Kumar, Prem Seetharaman, Justin Salamon, Dinesh Manocha, Oriol Nieto
2025 Misc conf
Sketch2Sound: Controllable Audio Generation via Time-Varying Signals and Sonic Imitations.
ICASSP
Hugo Flores García, Oriol Nieto, Justin Salamon, Bryan Pardo, Prem Seetharaman
2025 — conf
The Rhythm In Anything: Audio-Prompted Drums Generation with Masked Language Modeling.
ISMIR
Patrick O'Reilly, Julia Barnett, Hugo Flores García, Annie Chu, Nathan Pruyne, Prem Seetharaman, Bryan Pardo
2025 J jnl
The Rhythm In Anything: Audio-Prompted Drums Generation with Masked Language Modeling.
CoRR
Patrick O'Reilly, Julia Barnett, Hugo Flores García, Annie Chu, Nathan Pruyne, Prem Seetharaman, Bryan Pardo
2025 A* conf
Video-Guided Foley Sound Generation with Multimodal Controls.
CVPR
Ziyang Chen, Prem Seetharaman, Bryan C. Russell, Oriol Nieto, David Bourgin, Andrew Owens, Justin Salamon
2024 J jnl
Code Drift: Towards Idempotent Neural Audio Codecs.
CoRR
Patrick O'Reilly, Prem Seetharaman, Jiaqi Su, Zeyu Jin, Bryan Pardo
2024 J jnl
SILA: Signal-to-Language Augmentation for Enhanced Control in Text-to-Audio Generation.
CoRR
Sonal Kumar, Prem Seetharaman, Justin Salamon, Dinesh Manocha, Oriol Nieto
2024 J jnl
Sketch2Sound: Controllable Audio Generation via Time-Varying Signals and Sonic Imitations.
CoRR
Hugo Flores García, Oriol Nieto, Justin Salamon, Bryan Pardo, Prem Seetharaman
2024 J jnl
Video-Guided Foley Sound Generation with Multimodal Controls.
CoRR
Ziyang Chen, Prem Seetharaman, Bryan C. Russell, Oriol Nieto, David Bourgin, Andrew Owens, Justin Salamon
2023 A* conf
High-Fidelity Audio Compression with Improved RVQGAN.
NeurIPS
Rithesh Kumar, Prem Seetharaman, Alejandro Luebs, Ishaan Kumar, Kundan Kumar
2023 J jnl
High-Fidelity Audio Compression with Improved RVQGAN.
CoRR
Rithesh Kumar, Prem Seetharaman, Alejandro Luebs, Ishaan Kumar, Kundan Kumar
2023 — conf
VampNet: Music Generation via Masked Acoustic Token Modeling.
ISMIR
Hugo Flores García, Prem Seetharaman, Rithesh Kumar, Bryan Pardo
2023 J jnl
VampNet: Music Generation via Masked Acoustic Token Modeling.
CoRR
Hugo Flores García, Prem Seetharaman, Rithesh Kumar, Bryan Pardo
2022 A* conf
Chunked Autoregressive GAN for Conditional Waveform Synthesis.
ICLR
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio
2022 A conf
How to Listen? Rethinking Visual Sound Localization.
INTERSPEECH
Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman, Juan Pablo Bello
2022 J jnl
How to Listen? Rethinking Visual Sound Localization.
CoRR
Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman, Juan Pablo Bello
2022 — conf
Music Separation Enhancement with Generative Modeling.
ISMIR
Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo
2022 J jnl
Music Separation Enhancement with Generative Modeling.
CoRR
Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo
2022 Misc conf
Source Separation By Steering Pretrained Music Models.
ICASSP
Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo
2022 Misc conf
Wav2CLIP: Learning Robust Audio Representations from Clip.
ICASSP
Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello
2021 J jnl
Chunked Autoregressive GAN for Conditional Waveform Synthesis.
CoRR
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio
2021 Misc conf
Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes.
ICASSP
Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
2021 J jnl
Unsupervised Source Separation By Steering Pretrained Music Models.
CoRR
Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo
2021 J jnl
Wav2CLIP: Learning Robust Audio Representations From CLIP.
CoRR
Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello
2021 Misc conf
What's all the Fuss about Free Universal Sound Separation Data?
ICASSP
Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
2020 J jnl
A Study of Transfer Learning in Music Source Separation.
CoRR
Andreas Bugler, Bryan Pardo, Prem Seetharaman
2020 J jnl
AutoClip: Adaptive Gradient Clipping for Source Separation Networks.
CoRR
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
2020 — conf
Autoclip: Adaptive Gradient Clipping for Source Separation Networks.
MLSP
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
2020 J jnl
Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach.
CoRR
Alexander Fang, Alisa Liu, Prem Seetharaman, Bryan Pardo
2020 J jnl
Improving Sound Event Detection In Domestic Environments Using Sound Separation.
CoRR
Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
2020 — conf
Improving Sound Event Detection in Domestic Environments using Sound Separation.
DCASE
Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
2020 J jnl
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation.
CoRR
Alisa Liu, Alexander Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo
2020 — conf
Model Selection for Deep Audio Source Separation via Clustering Analysis.
DCASE
Alisa Liu, Prem Seetharaman, Bryan Pardo
2020 J jnl
OtoWorld: Towards Learning to Separate by Learning to Move.
CoRR
Omkar Ranadive, Grant Gasser, David Terpay, Prem Seetharaman
2020 Misc conf
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments.
ICASSP
Ethan Manilow, Prem Seetharaman, Bryan Pardo
2020 J jnl
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes.
CoRR
Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
2020 J jnl
What's All the FUSS About Free Universal Sound Separation Data?
CoRR
Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
2019 J jnl
An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music.
IEEE Signal Process. Mag.
Eric J. Humphrey, Sravana Reddy, Prem Seetharaman, Aparna Kumar, Rachel M. Bittner, Andrew M. Demetriou, Sankalp Gulati, Andreas Jansson, Tristan Jehan, Bernhard Lehner, Anna M. Kruspe, Luwei Yang
2019 Misc conf
Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures.
ICASSP
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
2019 J jnl
Bootstrapping deep music separation from primitive auditory grouping principles.
CoRR
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
2019 Misc conf
Class-conditional Embeddings for Music Source Separation.
ICASSP
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux
2019 — conf
Classifying Non-speech Vocals: Deep vs Signal Processing Representations.
DCASE
Fatemeh Pishdadian, Prem Seetharaman, Bongjun Kim, Bryan Pardo
2019 — conf
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity.
WASPAA
Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux
2019 J jnl
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity.
CoRR
Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux
2019 J jnl
Model selection for deep audio source separation via clustering analysis.
CoRR
Alisa Liu, Prem Seetharaman, Bryan Pardo
2019 J jnl
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments.
CoRR
Ethan Manilow, Prem Seetharaman, Bryan Pardo
2019 A* conf
VoiceAssist: Guiding Users to High-Quality Voice Recordings.
CHI
Prem Seetharaman, Gautham J. Mysore, Bryan Pardo, Paris Smaragdis, Celso Gomes
2018 Misc conf
Blind Estimation of the Speech Transmission Index for Speech Quality Prediction.
ICASSP
Prem Seetharaman, Gautham J. Mysore, Paris Smaragdis, Bryan Pardo
2018 J jnl
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures.
CoRR
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
2018 J jnl
Class-conditional embeddings for music source separation.
CoRR
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux
2018 — conf
The Northwestern University Source Separation Library.
ISMIR
Ethan Manilow, Prem Seetharaman, Bryan Pardo
2018 — conf
VocalSet: A Singing Voice Dataset.
ISMIR
Julia Wilkins, Prem Seetharaman, Alison Wahl, Bryan Pardo
2017 Misc conf
Cover song identification with 2D Fourier Transform sequences.
ICASSP
Prem Seetharaman, Zafar Rafii
2017 — conf
Music/Voice separation using the 2D fourier transform.
WASPAA
Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo
2017 — conf
Predicting algorithm efficacy for adaptive multi-cue source separation.
WASPAA
Ethan Manilow, Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo
2016 — conf
Simultaneous Separation and Segmentation in Layered Music.
ISMIR
Prem Seetharaman, Bryan Pardo
2016 A* conf
SocialFX: Studying a Crowdsourced Folksonomy of Audio Effects Terms.
ACM Multimedia
Taylor Zheng, Prem Seetharaman, Bryan Pardo
2014 A* conf
Crowdsourcing a Reverberation Descriptor Map.
ACM Multimedia
Prem Seetharaman, Bryan Pardo
2014 A* conf
Reverbalize: A Crowdsourced Reverberation Controller.
ACM Multimedia
Prem Seetharaman, Bryan Pardo