Prem Seetharaman

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 48

Top Topics

Fourier Transform

Source Separation

Music Information Retrieval

Generative Model

Top Venues

Publications

Hugo Flores García, Prem Seetharaman, Rithesh Kumar, Bryan Pardo
VampNet: Music Generation via Masked Acoustic Token Modeling. ISMIR (2023)
Hugo Flores Garcia, Prem Seetharaman, Rithesh Kumar, Bryan Pardo
VampNet: Music Generation via Masked Acoustic Token Modeling. CoRR (2023)
Rithesh Kumar, Prem Seetharaman, Alejandro Luebs, Ishaan Kumar, Kundan Kumar
High-Fidelity Audio Compression with Improved RVQGAN. NeurIPS (2023)
Rithesh Kumar, Prem Seetharaman, Alejandro Luebs, Ishaan Kumar, Kundan Kumar
High-Fidelity Audio Compression with Improved RVQGAN. CoRR (2023)
Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo
Music Separation Enhancement with Generative Modeling. CoRR (2022)
Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo
Source Separation By Steering Pretrained Music Models. ICASSP (2022)
Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello
Wav2CLIP: Learning Robust Audio Representations from Clip. ICASSP (2022)
Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman, Juan Pablo Bello
How to Listen? Rethinking Visual Sound Localization. CoRR (2022)
Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman, Juan Pablo Bello
How to Listen? Rethinking Visual Sound Localization. INTERSPEECH (2022)
Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo
Music Separation Enhancement with Generative Modeling. ISMIR (2022)
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio
Chunked Autoregressive GAN for Conditional Waveform Synthesis. ICLR (2022)
Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes. ICASSP (2021)
Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo
Unsupervised Source Separation By Steering Pretrained Music Models. CoRR (2021)
Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello
Wav2CLIP: Learning Robust Audio Representations From CLIP. CoRR (2021)
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio
Chunked Autoregressive GAN for Conditional Waveform Synthesis. CoRR (2021)
Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
What's all the Fuss about Free Universal Sound Separation Data? ICASSP (2021)
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
AutoClip: Adaptive Gradient Clipping for Source Separation Networks. CoRR (2020)
Omkar Ranadive, Grant Gasser, David Terpay, Prem Seetharaman
OtoWorld: Towards Learning to Separate by Learning to Move. CoRR (2020)
Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Improving Sound Event Detection In Domestic Environments Using Sound Separation. CoRR (2020)
Andreas Bugler, Bryan Pardo, Prem Seetharaman
A Study of Transfer Learning in Music Source Separation. CoRR (2020)
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
Autoclip: Adaptive Gradient Clipping for Source Separation Networks. MLSP (2020)
Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Improving Sound Event Detection in Domestic Environments using Sound Separation. DCASE (2020)
Alexander Fang, Alisa Liu, Prem Seetharaman, Bryan Pardo
Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach. CoRR (2020)
Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
What's All the FUSS About Free Universal Sound Separation Data? CoRR (2020)
Alisa Liu, Prem Seetharaman, Bryan Pardo
Model Selection for Deep Audio Source Separation via Clustering Analysis. DCASE (2020)
Ethan Manilow, Prem Seetharaman, Bryan Pardo
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. ICASSP (2020)
Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. CoRR (2020)
Alisa Liu, Alexander Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. CoRR (2020)
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux
Class-conditional Embeddings for Music Source Separation. ICASSP (2019)
Fatemeh Pishdadian, Prem Seetharaman, Bongjun Kim, Bryan Pardo
Classifying Non-speech Vocals: Deep vs Signal Processing Representations. DCASE (2019)
Ethan Manilow, Prem Seetharaman, Bryan Pardo
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. CoRR (2019)
Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity. CoRR (2019)
Prem Seetharaman, Gautham J. Mysore, Bryan Pardo, Paris Smaragdis, Celso Gomes
VoiceAssist: Guiding Users to High-Quality Voice Recordings. CHI (2019)
Alisa Liu, Prem Seetharaman, Bryan Pardo
Model selection for deep audio source separation via clustering analysis. CoRR (2019)
Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity. WASPAA (2019)
Eric J. Humphrey, Sravana Reddy, Prem Seetharaman, Aparna Kumar, Rachel M. Bittner, Andrew M. Demetriou, Sankalp Gulati, Andreas Jansson, Tristan Jehan, Bernhard Lehner, Anna Krupse, Luwei Yang
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. 36 (1) (2019)
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures. ICASSP (2019)
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
Bootstrapping deep music separation from primitive auditory grouping principles. CoRR (2019)
Ethan Manilow, Prem Seetharaman, Bryan Pardo
The Northwestern University Source Separation Library. ISMIR (2018)
Julia Wilkins, Prem Seetharaman, Alison Wahl, Bryan Pardo
VocalSet: A Singing Voice Dataset. ISMIR (2018)
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures. CoRR (2018)
Prem Seetharaman, Gautham J. Mysore, Paris Smaragdis, Bryan Pardo
Blind Estimation of the Speech Transmission Index for Speech Quality Prediction. ICASSP (2018)
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux
Class-conditional embeddings for music source separation. CoRR (2018)
Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo
Music/Voice separation using the 2D fourier transform. WASPAA (2017)
Ethan Manilow, Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo
Predicting algorithm efficacy for adaptive multi-cue source separation. WASPAA (2017)
Prem Seetharaman, Zafar Rafii
Cover song identification with 2D Fourier Transform sequences. ICASSP (2017)
Prem Seetharaman, Bryan Pardo
Simultaneous Separation and Segmentation in Layered Music. ISMIR (2016)
Taylor Zheng, Prem Seetharaman, Bryan Pardo
SocialFX: Studying a Crowdsourced Folksonomy of Audio Effects Terms. ACM Multimedia (2016)
Prem Seetharaman, Bryan Pardo
Reverbalize: A Crowdsourced Reverberation Controller. ACM Multimedia (2014)
Prem Seetharaman, Bryan Pardo
Crowdsourcing a Reverberation Descriptor Map. ACM Multimedia (2014)