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2020 – today
- 2023
[c28]Hugo Flores García, Prem Seetharaman, Rithesh Kumar, Bryan Pardo:
VampNet: Music Generation via Masked Acoustic Token Modeling. ISMIR 2023: 359-366- [c27]Rithesh Kumar, Prem Seetharaman, Alejandro Luebs, Ishaan Kumar, Kundan Kumar:
High-Fidelity Audio Compression with Improved RVQGAN. NeurIPS 2023 - [i21]Rithesh Kumar, Prem Seetharaman, Alejandro Luebs, Ishaan Kumar, Kundan Kumar:
High-Fidelity Audio Compression with Improved RVQGAN. CoRR abs/2306.06546 (2023) - [i20]Hugo Flores García, Prem Seetharaman, Rithesh Kumar, Bryan Pardo:
VampNet: Music Generation via Masked Acoustic Token Modeling. CoRR abs/2307.04686 (2023) - 2022
- [c26]Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo:
Source Separation By Steering Pretrained Music Models. ICASSP 2022: 126-130 - [c25]Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello
:
Wav2CLIP: Learning Robust Audio Representations from Clip. ICASSP 2022: 4563-4567 - [c24]Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio:
Chunked Autoregressive GAN for Conditional Waveform Synthesis. ICLR 2022 - [c23]Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman, Juan Pablo Bello:
How to Listen? Rethinking Visual Sound Localization. INTERSPEECH 2022: 876-880 - [c22]Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo:
Music Separation Enhancement with Generative Modeling. ISMIR 2022: 772-780 - [i19]Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman, Juan Pablo Bello:
How to Listen? Rethinking Visual Sound Localization. CoRR abs/2204.05156 (2022) - [i18]Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo:
Music Separation Enhancement with Generative Modeling. CoRR abs/2208.12387 (2022) - 2021
- [c21]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: 186-190 - [c20]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: 840-844 - [i17]Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio:
Chunked Autoregressive GAN for Conditional Waveform Synthesis. CoRR abs/2110.10139 (2021) - [i16]Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar, Juan Pablo Bello:
Wav2CLIP: Learning Robust Audio Representations From CLIP. CoRR abs/2110.11499 (2021) - [i15]Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo:
Unsupervised Source Separation By Steering Pretrained Music Models. CoRR abs/2110.13071 (2021) - 2020
- [c19]Alisa Liu, Prem Seetharaman, Bryan Pardo:
Model Selection for Deep Audio Source Separation via Clustering Analysis. DCASE 2020: 91-95 - [c18]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: 205-209 - [c17]Ethan Manilow, Prem Seetharaman, Bryan Pardo:
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. ICASSP 2020: 771-775 - [c16]Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux:
Autoclip: Adaptive Gradient Clipping for Source Separation Networks. MLSP 2020: 1-6 - [i14]Alexander Fang, Alisa Liu, Prem Seetharaman, Bryan Pardo:
Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach. CoRR abs/2006.13329 (2020) - [i13]Alisa Liu, Alexander Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo:
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. CoRR abs/2006.13331 (2020) - [i12]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 abs/2007.03932 (2020) - [i11]Omkar Ranadive, Grant Gasser, David Terpay, Prem Seetharaman:
OtoWorld: Towards Learning to Separate by Learning to Move. CoRR abs/2007.06123 (2020) - [i10]Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux:
AutoClip: Adaptive Gradient Clipping for Source Separation Networks. CoRR abs/2007.14469 (2020) - [i9]Andreas Bugler, Bryan Pardo, Prem Seetharaman:
A Study of Transfer Learning in Music Source Separation. CoRR abs/2010.12650 (2020) - [i8]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 abs/2011.00801 (2020) - [i7]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 abs/2011.00803 (2020)
2010 – 2019
- 2019
- [j1]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:
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): 82-94 (2019) - [c15]Prem Seetharaman, Gautham J. Mysore, Bryan Pardo, Paris Smaragdis, Celso Gomes:
VoiceAssist: Guiding Users to High-Quality Voice Recordings. CHI 2019: 309 - [c14]Fatemeh Pishdadian, Prem Seetharaman, Bongjun Kim, Bryan Pardo:
Classifying Non-speech Vocals: Deep vs Signal Processing Representations. DCASE 2019: 194-198 - [c13]Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux:
Class-conditional Embeddings for Music Source Separation. ICASSP 2019: 301-305 - [c12]Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo:
Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures. ICASSP 2019: 356-360 - [c11]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: 45-49 - [i6]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 abs/1909.08494 (2019) - [i5]Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo:
Bootstrapping deep music separation from primitive auditory grouping principles. CoRR abs/1910.11133 (2019) - [i4]Ethan Manilow, Prem Seetharaman, Bryan Pardo:
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. CoRR abs/1910.12621 (2019) - [i3]Alisa Liu, Prem Seetharaman, Bryan Pardo:
Model selection for deep audio source separation via clustering analysis. CoRR abs/1910.12626 (2019) - 2018
- [c10]Prem Seetharaman, Gautham J. Mysore, Paris Smaragdis, Bryan Pardo:
Blind Estimation of the Speech Transmission Index for Speech Quality Prediction. ICASSP 2018: 591-595 - [c9]Ethan Manilow, Prem Seetharaman, Bryan Pardo:
The Northwestern University Source Separation Library. ISMIR 2018: 297-305 - [c8]Julia Wilkins, Prem Seetharaman, Alison Wahl, Bryan Pardo:
VocalSet: A Singing Voice Dataset. ISMIR 2018: 468-474 - [i2]Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo:
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures. CoRR abs/1811.02130 (2018) - [i1]Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux:
Class-conditional embeddings for music source separation. CoRR abs/1811.03076 (2018) - 2017
- [c7]Prem Seetharaman, Zafar Rafii:
Cover song identification with 2D Fourier Transform sequences. ICASSP 2017: 616-620 - [c6]Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo:
Music/Voice separation using the 2D fourier transform. WASPAA 2017: 36-40 - [c5]Ethan Manilow, Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo:
Predicting algorithm efficacy for adaptive multi-cue source separation. WASPAA 2017: 274-278 - 2016
- [c4]Prem Seetharaman, Bryan Pardo:
Simultaneous Separation and Segmentation in Layered Music. ISMIR 2016: 495-501 - [c3]Taylor Zheng, Prem Seetharaman, Bryan Pardo:
SocialFX: Studying a Crowdsourced Folksonomy of Audio Effects Terms. ACM Multimedia 2016: 182-186 - 2014
- [c2]Prem Seetharaman, Bryan Pardo:
Crowdsourcing a Reverberation Descriptor Map. ACM Multimedia 2014: 587-596 - [c1]Prem Seetharaman, Bryan Pardo:
Reverbalize: A Crowdsourced Reverberation Controller. ACM Multimedia 2014: 739-740
Coauthor Index
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