Prem Seetharaman

According to our database, Prem Seetharaman authored at least 35 papers between 2014 and 2023.

Collaborative distances:

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

2023

High-Fidelity Audio Compression with Improved RVQGAN.

Rithesh Kumar, Prem Seetharaman, Alejandro Luebs, Ishaan Kumar, Kundan Kumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VampNet: Music Generation via Masked Acoustic Token Modeling.

Hugo Flores García, Prem Seetharaman, Rithesh Kumar, Bryan Pardo

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

2022

Music Separation Enhancement with Generative Modeling.

Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

How to Listen? Rethinking Visual Sound Localization.

Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman, Juan Pablo Bello

Proceedings of the Interspeech 2022, 2022

Chunked Autoregressive GAN for Conditional Waveform Synthesis.

Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio

Proceedings of the Tenth International Conference on Learning Representations, 2022

Wav2CLIP: Learning Robust Audio Representations from Clip.

Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello

Proceedings of the IEEE International Conference on Acoustics, 2022

Source Separation By Steering Pretrained Music Models.

Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Unsupervised Source Separation By Steering Pretrained Music Models.

Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo

CoRR, 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

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Study of Transfer Learning in Music Source Separation.

Andreas Bugler, Bryan Pardo, Prem Seetharaman

CoRR, 2020

OtoWorld: Towards Learning to Separate by Learning to Move.

Omkar Ranadive, Grant Gasser, David Terpay, Prem Seetharaman

CoRR, 2020

Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation.

Alisa Liu, Alexander Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo

CoRR, 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

Autoclip: Adaptive Gradient Clipping for Source Separation Networks.

Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments.

Ethan Manilow, Prem Seetharaman, Bryan Pardo

Proceedings of the 2020 IEEE International Conference on Acoustics, 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

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Model Selection for Deep Audio Source Separation via Clustering Analysis.

Alisa Liu, Prem Seetharaman, Bryan Pardo

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

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, Tristan Jehan, Bernhard Lehner, Anna M. Kruspe, Luwei Yang

IEEE Signal Process. Mag., 2019

Bootstrapping deep music separation from primitive auditory grouping principles.

Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo

CoRR, 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

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Class-conditional Embeddings for Music Source Separation.

Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux

Proceedings of the IEEE International Conference on Acoustics, 2019

Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures.

Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo

Proceedings of the IEEE International Conference on Acoustics, 2019

Classifying Non-speech Vocals: Deep vs Signal Processing Representations.

Fatemeh Pishdadian, Prem Seetharaman, Bongjun Kim, Bryan Pardo

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

VoiceAssist: Guiding Users to High-Quality Voice Recordings.

Prem Seetharaman, Gautham J. Mysore, Bryan Pardo, Paris Smaragdis, Celso Gomes

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

VocalSet: A Singing Voice Dataset.

Julia Wilkins, Prem Seetharaman, Alison Wahl, Bryan Pardo

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

The Northwestern University Source Separation Library.

Ethan Manilow, Prem Seetharaman, Bryan Pardo

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

Blind Estimation of the Speech Transmission Index for Speech Quality Prediction.

Prem Seetharaman, Gautham J. Mysore, Paris Smaragdis, Bryan Pardo

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Music/Voice separation using the 2D fourier transform.

Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Predicting algorithm efficacy for adaptive multi-cue source separation.

Ethan Manilow, Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Cover song identification with 2D Fourier Transform sequences.

Prem Seetharaman, Zafar Rafii

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

SocialFX: Studying a Crowdsourced Folksonomy of Audio Effects Terms.

Taylor Zheng, Prem Seetharaman, Bryan Pardo

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Simultaneous Separation and Segmentation in Layered Music.

Prem Seetharaman, Bryan Pardo

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

2014

Reverbalize: A Crowdsourced Reverberation Controller.

Prem Seetharaman, Bryan Pardo

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Crowdsourcing a Reverberation Descriptor Map.

Prem Seetharaman, Bryan Pardo

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014