Crowdsourcing a Reverberation Descriptor Map. - Prem Seetharaman; Bryan Pardo (ACM Multimedia, 2014)

Reverbalize: A Crowdsourced Reverberation Controller. - Prem Seetharaman; Bryan Pardo (ACM Multimedia, 2014)

Simultaneous Separation and Segmentation in Layered Music. - Prem Seetharaman; Bryan Pardo (ISMIR, 2016)

SocialFX: Studying a Crowdsourced Folksonomy of Audio Effects Terms. - Taylor Zheng; Prem Seetharaman; Bryan Pardo (ACM Multimedia, 2016)

Cover song identification with 2D Fourier Transform sequences. - Prem Seetharaman; Zafar Rafii (ICASSP, 2017)

Predicting algorithm efficacy for adaptive multi-cue source separation. - Ethan Manilow; Prem Seetharaman; Fatemeh Pishdadian; Bryan Pardo (WASPAA, 2017)

Music/Voice separation using the 2D fourier transform. - Prem Seetharaman; Fatemeh Pishdadian; Bryan Pardo (WASPAA, 2017)

Blind Estimation of the Speech Transmission Index for Speech Quality Prediction. - Prem Seetharaman; Gautham J. Mysore; Paris Smaragdis; Bryan Pardo (ICASSP, 2018)

The Northwestern University Source Separation Library. - Ethan Manilow; Prem Seetharaman; Bryan Pardo (ISMIR, 2018)

VocalSet: A Singing Voice Dataset. - Julia Wilkins; Prem Seetharaman; Alison Wahl; Bryan Pardo (ISMIR, 2018)

VoiceAssist: Guiding Users to High-Quality Voice Recordings. - Prem Seetharaman; Gautham J. Mysore; Bryan Pardo; Paris Smaragdis; Celso Gomes (CHI, 2019)

Classifying Non-speech Vocals: Deep vs Signal Processing Representations. - Fatemeh Pishdadian; Prem Seetharaman; Bongjun Kim; Bryan Pardo (DCASE, 2019)

Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures. - Prem Seetharaman; Gordon Wichern; Jonathan Le Roux; Bryan Pardo (ICASSP, 2019)

Class-conditional Embeddings for Music Source Separation. - Prem Seetharaman; Gordon Wichern; Shrikant Venkataramani; Jonathan Le Roux (ICASSP, 2019)

Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity. - Ethan Manilow; Gordon Wichern; Prem Seetharaman; Jonathan Le Roux (WASPAA, 2019)

Bootstrapping deep music separation from primitive auditory grouping principles. - Prem Seetharaman; Gordon Wichern; Jonathan Le Roux; Bryan Pardo (CoRR, 2019)

An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music. - Eric J. Humphrey; Sravana Reddy; Prem Seetharaman; Aparna Kumar; Rachel M. Bittner; Andrew M. Demetriou; Sankalp Gulati; Andreas Jansson 001; Tristan Jehan; Bernhard Lehner; Anna M. Kruspe; Luwei Yang (IEEE Signal Process. Mag., 2019)

Model Selection for Deep Audio Source Separation via Clustering Analysis. - Alisa Liu; Prem Seetharaman; Bryan Pardo (DCASE, 2020)

Improving Sound Event Detection in Domestic Environments using Sound Separation. - Nicolas Turpault; Scott Wisdom; Hakan Erdogan; John R. Hershey; Romain Serizel; Eduardo Fonseca; Prem Seetharaman; Justin Salamon (DCASE, 2020)

Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. - Ethan Manilow; Prem Seetharaman; Bryan Pardo (ICASSP, 2020)

Autoclip: Adaptive Gradient Clipping for Source Separation Networks. - Prem Seetharaman; Gordon Wichern; Bryan Pardo; Jonathan Le Roux (MLSP, 2020)

Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach. - Alexander Fang; Alisa Liu; Prem Seetharaman; Bryan Pardo (CoRR, 2020)

Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. - Alisa Liu; Alexander Fang; Gaëtan Hadjeres; Prem Seetharaman; Bryan Pardo (CoRR, 2020)

OtoWorld: Towards Learning to Separate by Learning to Move. - Omkar Ranadive; Grant Gasser; David Terpay; Prem Seetharaman (CoRR, 2020)

A Study of Transfer Learning in Music Source Separation. - Andreas Bugler; Bryan Pardo; Prem Seetharaman (CoRR, 2020)

Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes. - Nicolas Turpault; Romain Serizel; Scott Wisdom; Hakan Erdogan; John R. Hershey; Eduardo Fonseca; Prem Seetharaman; Justin Salamon (ICASSP, 2021)

What's all the Fuss about Free Universal Sound Separation Data? - Scott Wisdom; Hakan Erdogan; Daniel P. W. Ellis; Romain Serizel; Nicolas Turpault; Eduardo Fonseca; Justin Salamon; Prem Seetharaman; John R. Hershey (ICASSP, 2021)

Unsupervised Source Separation By Steering Pretrained Music Models. - Ethan Manilow; Patrick O'Reilly; Prem Seetharaman; Bryan Pardo (CoRR, 2021)

Source Separation By Steering Pretrained Music Models. - Ethan Manilow; Patrick O'Reilly; Prem Seetharaman; Bryan Pardo (ICASSP, 2022)

Wav2CLIP: Learning Robust Audio Representations from Clip. - Ho-Hsiang Wu; Prem Seetharaman; Kundan Kumar; Juan Pablo Bello (ICASSP, 2022)

Chunked Autoregressive GAN for Conditional Waveform Synthesis. - Max Morrison; Rithesh Kumar; Kundan Kumar; Prem Seetharaman; Aaron C. Courville; Yoshua Bengio (ICLR, 2022)

How to Listen? Rethinking Visual Sound Localization. - Ho-Hsiang Wu; Magdalena Fuentes; Prem Seetharaman; Juan Pablo Bello (INTERSPEECH, 2022)

Music Separation Enhancement with Generative Modeling. - Noah Schaffer; Boaz Cogan; Ethan Manilow; Max Morrison; Prem Seetharaman; Bryan Pardo (ISMIR, 2022)

VampNet: Music Generation via Masked Acoustic Token Modeling. - Hugo Flores García; Prem Seetharaman; Rithesh Kumar; Bryan Pardo (ISMIR, 2023)

High-Fidelity Audio Compression with Improved RVQGAN. - Rithesh Kumar; Prem Seetharaman; Alejandro Luebs; Ishaan Kumar; Kundan Kumar (NeurIPS, 2023)

Code Drift: Towards Idempotent Neural Audio Codecs. - Patrick O'Reilly; Prem Seetharaman; Jiaqi Su; Zeyu Jin; Bryan Pardo (CoRR, 2024)

SILA: Signal-to-Language Augmentation for Enhanced Control in Text-to-Audio Generation. - Sonal Kumar; Prem Seetharaman; Justin Salamon; Dinesh Manocha; Oriol Nieto (CoRR, 2024)

Video-Guided Foley Sound Generation with Multimodal Controls. - Ziyang Chen; Prem Seetharaman; Bryan C. Russell; Oriol Nieto; David Bourgin; Andrew Owens; Justin Salamon (CVPR, 2025)

Sketch2Sound: Controllable Audio Generation via Time-Varying Signals and Sonic Imitations. - Hugo Flores García; Oriol Nieto; Justin Salamon; Bryan Pardo; Prem Seetharaman (ICASSP, 2025)

Code Drift: Towards Idempotent Neural Audio Codecs. - Patrick O'Reilly; Prem Seetharaman; Jiaqu Su; Zeyu Jin; Bryan Pardo (ICASSP, 2025)

FLAM: Frame-Wise Language-Audio Modeling. - Yusong Wu; Christos Tsirigotis; Ke Chen; Cheng-Zhi Anna Huang; Aaron C. Courville; Oriol Nieto; Prem Seetharaman; Justin Salamon (CoRR, 2025)