Paris Smaragdis

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 107

Top Venues

CoRR

ICASSP

WASPAA

INTERSPEECH

Publications

Krishna Subramani, Paris Smaragdis, Takuya Higuchi, Mehrez Souden
Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations. CoRR (2024)
Krishna Subramani, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin
Noise-Robust DSP-Assisted Neural Pitch Estimation With Very Low Complexity. ICASSP (2024)
Karim Helwani, Masahito Togami, Paris Smaragdis, Michael M. Goodwin
Sound Source Separation Using Latent Variational Block-Wise Disentanglement. CoRR (2024)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Scaling Up Adaptive Filter Optimizers. CoRR (2024)
Jonah Casebeer, Junkai Wu, Paris Smaragdis
Meta-AF Echo Cancellation for Improved Keyword Spotting. ICASSP (2024)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Meta-AF: Meta-Learning for Adaptive Filters. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
Latent Iterative Refinement for Modular Source Separation. ICASSP (2023)
Dimitrios Bralios, Efthymios Tzinis, Paris Smaragdis
Complete and separate: Conditional separation with missing target source attribute completion. CoRR (2023)
Gaël Richard, Paris Smaragdis, Sharon Gannot, Patrick A. Naylor, Shoji Makino, Walter Kellermann, Akihiko Sugiyama
Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years. IEEE Signal Process. Mag. 40 (5) (2023)
Austin Lu, Ethaniel Moore, Arya Nallanthighall, Kanad Sarkar, Manan Mittal, Ryan M. Corey, Paris Smaragdis, Andrew C. Singer
Mechatronic Generation of Datasets for Acoustics Research. CoRR (2023)
Karim Helwani, Paris Smaragdis, Michael M. Goodwin
Generative Modeling Based Manifold Learning for Adaptive Filtering Guidance. ICASSP (2023)
Zhepei Wang, Ritwik Giri, Devansh Shah, Jean-Marc Valin, Michael M. Goodwin, Paris Smaragdis
A Framework for Unified Real-Time Personalized and Non-Personalized Speech Enhancement. ICASSP (2023)
Jonah Casebeer, Junkai Wu, Paris Smaragdis
Meta-AF Echo Cancellation for Improved Keyword Spotting. CoRR (2023)
Francesco Paissan, Zhepei Wang, Mirco Ravanelli, Paris Smaragdis, Cem Subakan
Audio Editing with Non-Rigid Text Prompts. CoRR (2023)
Zhepei Wang, Cem Subakan, Krishna Subramani, Junkai Wu, Tiago Tavares, Fábio Ayres, Paris Smaragdis
Unsupervised Improvement of Audio-Text Cross-Modal Representations. CoRR (2023)
Krishna Subramani, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin
Noise-Robust DSP-Assisted Neural Pitch Estimation with Very Low Complexity. CoRR (2023)
Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
Optimal Condition Training for Target Source Separation. ICASSP (2023)
Ahmed Mustafa, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin
Framewise Wavegan: High Speed Adversarial Vocoder In Time Domain With Very Low Computational Complexity. ICASSP (2023)
Erfan Soltanmohammadi, Paris Smaragdis, Michael M. Goodwin
Low-Complexity Streaming Speech Super-Resolution. MLSP (2023)
Zhepei Wang, Cem Subakan, Krishna Subramani, Junkai Wu, Tiago Tavares, Fábio Ayres, Paris Smaragdis
Unsupervised Improvement of Audio-Text Cross-Modal Representations. WASPAA (2023)
Dimitrios Bralios, Efthymios Tzinis, Paris Smaragdis
Complete and Separate: Conditional Separation with Missing Target Source Attribute Completion. WASPAA (2023)
Zhepei Wang, Ritwik Giri, Devansh Shah, Jean-Marc Valin, Michael M. Goodwin, Paris Smaragdis
A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement. CoRR (2023)
Jean-Marc Valin, Ahmed Mustafa, Christopher Montgomery, Timothy B. Terriberry, Michael Klingbeil, Paris Smaragdis, Arvindh Krishnaswamy
Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model. INTERSPEECH (2022)
Zhepei Wang, Cem Subakan, Xilin Jiang, Junkai Wu, Efthymios Tzinis, Mirco Ravanelli, Paris Smaragdis
Learning Representations for New Sound Classes With Continual Self-Supervised Learning. IEEE Signal Process. Lett. 29 (2022)
Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies. IWAENC (2022)
Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
Latent Iterative Refinement for Modular Source Separation. CoRR (2022)
Anku Adhikari, Samuel Guo, Paris Smaragdis, Marianne Winslett
Don't Look Up: Ubiquitous Data Exfiltration Pathways in Commercial Spaces. CoRR (2022)
Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux
Heterogeneous Target Speech Separation. INTERSPEECH (2022)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Meta-AF: Meta-Learning for Adaptive Filters. CoRR (2022)
Efthymios Tzinis, Zhepei Wang, Xilin Jiang, Paris Smaragdis
Compute and Memory Efficient Universal Sound Source Separation. J. Signal Process. Syst. 94 (2) (2022)
Austin Lu, Ethaniel Moore, Arya Nallanthighall, Kanad Sarkar, Manan Mittal, Ryan M. Corey, Paris Smaragdis, Andrew C. Singer
Mechatronic Generation of Datasets for Acoustics Research. IWAENC (2022)
Zhepei Wang, Ritwik Giri, Shrikant Venkataramani, Umut Isik, Jean-Marc Valin, Paris Smaragdis, Michael M. Goodwin, Arvindh Krishnaswamy
Semi-supervised Time Domain Target Speaker Extraction with Attention. CoRR (2022)
Efthymios Tzinis, Yossi Adi, Vamsi Krishna Ithapu, Buye Xu, Paris Smaragdis, Anurag Kumar
RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing. CoRR (2022)
Jean-Marc Valin, Ahmed Mustafa, Christopher Montgomery, Timothy B. Terriberry, Michael Klingbeil, Paris Smaragdis, Arvindh Krishnaswamy
Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model. CoRR (2022)
Krishna Subramani, Jean-Marc Valin, Umut Isik, Paris Smaragdis, Arvindh Krishnaswamy
End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation. INTERSPEECH (2022)
Zhepei Wang, Cem Subakan, Xilin Jiang, Junkai Wu, Efthymios Tzinis, Mirco Ravanelli, Paris Smaragdis
Learning Representations for New Sound Classes With Continual Self-Supervised Learning. CoRR (2022)
Jean-Marc Valin, Umut Isik, Paris Smaragdis, Arvindh Krishnaswamy
Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet. CoRR (2022)
Ahmed Mustafa, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin
Framewise WaveGAN: High Speed Adversarial Vocoder in Time Domain with Very Low Computational Complexity. CoRR (2022)
Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
Optimal Condition Training for Target Source Separation. CoRR (2022)
Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux
Heterogeneous Target Speech Separation. CoRR (2022)
Jean-Marc Valin, Umut Isik, Paris Smaragdis, Arvindh Krishnaswamy
Neural Speech Synthesis on a Shoestring: Improving the Efficiency of Lpcnet. ICASSP (2022)
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Paris Smaragdis, Anurag Kumar
RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Krishna Subramani, Jean-Marc Valin, Umut Isik, Paris Smaragdis, Arvindh Krishnaswamy
End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation. CoRR (2022)
Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies. CoRR (2022)
Efthymios Tzinis, Zhepei Wang, Xilin Jiang, Paris Smaragdis
Compute and memory efficient universal sound source separation. CoRR (2021)
Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan
Differentiable Signal Processing With Black-Box Audio Effects. ICASSP (2021)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. CoRR (2021)
An Zhao, Krishna Subramani, Paris Smaragdis
Optimizing Short-Time Fourier Transform Parameters via Gradient Descent. ICASSP (2021)
Efthymios Tzinis, Jonah Casebeer, Zhepei Wang, Paris Smaragdis
Separate But Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data. WASPAA (2021)
Krishna Subramani, Paris Smaragdis
Point Cloud Audio Processing. WASPAA (2021)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. WASPAA (2021)
Jonah Casebeer, Jamshed Kaikaus, Paris Smaragdis
Communication-Cost Aware Microphone Selection for Neural Speech Enhancement with Ad-Hoc Microphone Arrays. ICASSP (2021)
Zhepei Wang, Jonah Casebeer, Adam Clemmitt, Efthymios Tzinis, Paris Smaragdis
Sound Event Detection with Adaptive Frequency Selection. CoRR (2021)
Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan
Differentiable Signal Processing With Black-Box Audio Effects. CoRR (2021)
Efthymios Tzinis, Jonah Casebeer, Zhepei Wang, Paris Smaragdis
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data. CoRR (2021)
Zhepei Wang, Jonah Casebeer, Adam Clemmitt, Efthymios Tzinis, Paris Smaragdis
Sound Event Detection with Adaptive Frequency Selection. WASPAA (2021)
Krishna Subramani, Paris Smaragdis
Point Cloud Audio Processing. CoRR (2021)
Efthymios Tzinis, Dimitrios Bralios, Paris Smaragdis
Unified Gradient Reweighting for Model Biasing with Applications to Source Separation. ICASSP (2021)
Jonah Casebeer, Jamshed Kaikaus, Paris Smaragdis
Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays. CoRR (2020)
Efthymios Tzinis, Dimitrios Bralios, Paris Smaragdis
Unified Gradient Reweighting for Model Biasing with Applications to Source Separation. CoRR (2020)
Yu-Che Wang, Shrikant Venkataramani, Paris Smaragdis
Self-supervised Learning for Speech Enhancement. CoRR (2020)
Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis
End-To-End Non-Negative Autoencoders for Sound Source Separation. ICASSP (2020)
Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis
Two-Step Sound Source Separation: Training On Learned Latent Targets. ICASSP (2020)
Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis
One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. ICASSP (2020)
An Zhao, Krishna Subramani, Paris Smaragdis
Optimizing Short-Time Fourier Transform Parameters via Gradient Descent. CoRR (2020)
Efthymios Tzinis, Zhepei Wang, Paris Smaragdis
Sudo RM -RF: Efficient Networks for Universal Audio Source Separation. MLSP (2020)
Efthymios Tzinis, Zhepei Wang, Paris Smaragdis
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation. CoRR (2020)
Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis
End-to-end Non-Negative Autoencoders for Sound Source Separation. CoRR (2019)
Dylan Fagot, Herwig Wendt, Cédric Févotte, Paris Smaragdis
Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence. ICASSP (2019)
Efthymios Tzinis, Shrikant Venkataramani, Paris Smaragdis
Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information. ICASSP (2019)
Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis
Two-Step Sound Source Separation: Training on Learned Latent Targets. CoRR (2019)
Jonah Casebeer, Zhepei Wang, Paris Smaragdis
Multi-view Networks for Multi-channel Audio Classification. ICASSP (2019)
Zhepei Wang, Y. Cem Sübakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin
Continual Learning of New Sound Classes using Generative Replay. CoRR (2019)
Jonah Casebeer, Michael Colomb, Paris Smaragdis
Deep Tensor Factorization for Spatially-Aware Scene Decomposition. WASPAA (2019)
Prem Seetharaman, Gautham J. Mysore, Bryan Pardo, Paris Smaragdis, Celso Gomes
VoiceAssist: Guiding Users to High-Quality Voice Recordings. CHI (2019)
Zhepei Wang, Y. Cem Sübakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin
Continual Learning of New Sound Classes Using Generative Replay. WASPAA (2019)
Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis
A Style Transfer Approach to Source Separation. CoRR (2019)
Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis
A Style Transfer Approach to Source Separation. WASPAA (2019)
Jonah Casebeer, Michael Colomb, Paris Smaragdis
Deep Tensor Factorization for Spatially-Aware Scene Decomposition. CoRR (2019)
Jonah Casebeer, Zhepei Wang, Paris Smaragdis
Multi-View Networks For Multi-Channel Audio Classification. CoRR (2018)
Shrikant Venkataramani, Jonah Casebeer, Paris Smaragdis
End-To-End Source Separation With Adaptive Front-Ends. ACSSC (2018)
Shrikant Venkataramani, Paris Smaragdis
End-to-end Networks for Supervised Single-channel Speech Separation. CoRR (2018)
Minje Kim, Paris Smaragdis
Bitwise Neural Networks for Efficient Single-Channel Source Separation. ICASSP (2018)
Y. Cem Sübakan, Oluwasanmi Koyejo, Paris Smaragdis
Learning the Base Distribution in Implicit Generative Models. CoRR (2018)
Y. Cem Sübakan, Paris Smaragdis
Generative Adversarial Source Separation. ICASSP (2018)
Jonah Casebeer, Brian Luc, Paris Smaragdis
Multi-View Networks for Denoising of Arbitrary Numbers of Channels. CoRR (2018)
Efthymios Tzinis, Shrikant Venkataramani, Paris Smaragdis
Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information. CoRR (2018)
Shrikant Venkataramani, Ryley Higa, Paris Smaragdis
Performance Based Cost Functions for End-to-End Speech Separation. CoRR (2018)
Jonah Casebeer, Brian Luc, Paris Smaragdis
Multi-View Networks for Denoising of Arbitrary Numbers of Channels. IWAENC (2018)
Prem Seetharaman, Gautham J. Mysore, Paris Smaragdis, Bryan Pardo
Blind Estimation of the Speech Transmission Index for Speech Quality Prediction. ICASSP (2018)
Shrikant Venkataramani, Ryley Higa, Paris Smaragdis
Performance Based Cost Functions for End-to-End Speech Separation. APSIPA (2018)
Nasser Mohammadiha, Paris Smaragdis, Ghazaleh Panahandeh, Simon Doclo
A State-Space Approach to Dynamic Nonnegative Matrix Factorization. CoRR (2017)
Shrikant Venkataramani, Paris Smaragdis
End-to-end Source Separation with Adaptive Front-Ends. CoRR (2017)
Y. Cem Sübakan, Paris Smaragdis
Generative Adversarial Source Separation. CoRR (2017)
Y. Cem Sübakan, Paris Smaragdis
Diagonal rnns in symbolic music modeling. WASPAA (2017)
Nasser Mohammadiha, Paris Smaragdis, Arne Leijon
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization. CoRR (2017)
Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis
Neural network alternatives toconvolutive audio models for source separation. MLSP (2017)
Y. Cem Sübakan, Paris Smaragdis
Diagonal RNNs in Symbolic Music Modeling. CoRR (2017)
Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis
Neural Network Alternatives to Convolutive Audio Models for Source Separation. CoRR (2017)
Ralf Gunter Correa Carvalho, Paris Smaragdis
Towards end-to-end polyphonic music transcription: Transforming music audio directly to a score. WASPAA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paris Smaragdis