Paris Smaragdis

According to our database, Paris Smaragdis authored at least 159 papers between 1996 and 2024.

Collaborative distances:

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

2024

Scaling Up Adaptive Filter Optimizers.

Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis

CoRR, 2024

Sound Source Separation Using Latent Variational Block-Wise Disentanglement.

Karim Helwani, Masahito Togami, Paris Smaragdis, Michael M. Goodwin

CoRR, 2024

2023

Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years.

Gaël Richard, Paris Smaragdis, Sharon Gannot, Patrick A. Naylor, Shoji Makino, Walter Kellermann, Akihiko Sugiyama

IEEE Signal Process. Mag., July, 2023

Meta-AF: Meta-Learning for Adaptive Filters.

Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Meta-AF Echo Cancellation for Improved Keyword Spotting.

Jonah Casebeer, Junkai Wu, Paris Smaragdis

CoRR, 2023

Audio Editing with Non-Rigid Text Prompts.

Francesco Paissan, Zhepei Wang, Mirco Ravanelli, Paris Smaragdis, Cem Subakan

CoRR, 2023

Noise-Robust DSP-Assisted Neural Pitch Estimation with Very Low Complexity.

Krishna Subramani, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin

CoRR, 2023

Unsupervised Improvement of Audio-Text Cross-Modal Representations.

Zhepei Wang, Cem Subakan, Krishna Subramani, Junkai Wu, Tiago Tavares, Fábio Ayres, Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Complete and Separate: Conditional Separation with Missing Target Source Attribute Completion.

Dimitrios Bralios, Efthymios Tzinis, Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Low-Complexity Streaming Speech Super-Resolution.

Erfan Soltanmohammadi, Paris Smaragdis, Michael M. Goodwin

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

A Framework for Unified Real-Time Personalized and Non-Personalized Speech Enhancement.

Zhepei Wang, Ritwik Giri, Devansh Shah, Jean-Marc Valin, Michael M. Goodwin, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2023

Optimal Condition Training for Target Source Separation.

Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux

Proceedings of the IEEE International Conference on Acoustics, 2023

Framewise Wavegan: High Speed Adversarial Vocoder In Time Domain With Very Low Computational Complexity.

Ahmed Mustafa, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin

Proceedings of the IEEE International Conference on Acoustics, 2023

Generative Modeling Based Manifold Learning for Adaptive Filtering Guidance.

Karim Helwani, Paris Smaragdis, Michael M. Goodwin

Proceedings of the IEEE International Conference on Acoustics, 2023

Latent Iterative Refinement for Modular Source Separation.

Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Compute and Memory Efficient Universal Sound Source Separation.

Efthymios Tzinis, Zhepei Wang, Xilin Jiang, Paris Smaragdis

J. Signal Process. Syst., 2022

Learning Representations for New Sound Classes With Continual Self-Supervised Learning.

Zhepei Wang, Cem Subakan, Xilin Jiang, Junkai Wu, Efthymios Tzinis, Mirco Ravanelli, Paris Smaragdis

IEEE Signal Process. Lett., 2022

RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing.

Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Paris Smaragdis, Anurag Kumar

IEEE J. Sel. Top. Signal Process., 2022

Don't Look Up: Ubiquitous Data Exfiltration Pathways in Commercial Spaces.

Anku Adhikari, Samuel Guo, Paris Smaragdis, Marianne Winslett

CoRR, 2022

Semi-supervised Time Domain Target Speaker Extraction with Attention.

Zhepei Wang, Ritwik Giri, Shrikant Venkataramani, Umut Isik, Jean-Marc Valin, Paris Smaragdis, Michael M. Goodwin, Arvindh Krishnaswamy

CoRR, 2022

Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies.

Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis

Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

Mechatronic Generation of Datasets for Acoustics Research.

Austin Lu, Ethaniel Moore, Arya Nallanthighall, Kanad Sarkar, Manan Mittal, Ryan M. Corey, Paris Smaragdis, Andrew C. Singer

Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model.

Jean-Marc Valin, Ahmed Mustafa, Christopher Montgomery, Timothy B. Terriberry, Michael Klingbeil, Paris Smaragdis, Arvindh Krishnaswamy

Proceedings of the Interspeech 2022, 2022

Heterogeneous Target Speech Separation.

Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux

Proceedings of the Interspeech 2022, 2022

End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation.

Krishna Subramani, Jean-Marc Valin, Umut Isik, Paris Smaragdis, Arvindh Krishnaswamy

Proceedings of the Interspeech 2022, 2022

Neural Speech Synthesis on a Shoestring: Improving the Efficiency of Lpcnet.

Jean-Marc Valin, Umut Isik, Paris Smaragdis, Arvindh Krishnaswamy

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Sound Event Detection with Adaptive Frequency Selection.

Zhepei Wang, Jonah Casebeer, Adam Clemmitt, Efthymios Tzinis, Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Separate But Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data.

Efthymios Tzinis, Jonah Casebeer, Zhepei Wang, Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Point Cloud Audio Processing.

Krishna Subramani, Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Auto-DSP: Learning to Optimize Acoustic Echo Cancellers.

Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Optimizing Short-Time Fourier Transform Parameters via Gradient Descent.

An Zhao, Krishna Subramani, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2021

Unified Gradient Reweighting for Model Biasing with Applications to Source Separation.

Efthymios Tzinis, Dimitrios Bralios, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2021

Differentiable Signal Processing With Black-Box Audio Effects.

Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan

Proceedings of the IEEE International Conference on Acoustics, 2021

Communication-Cost Aware Microphone Selection for Neural Speech Enhancement with Ad-Hoc Microphone Arrays.

Jonah Casebeer, Jamshed Kaikaus, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Self-supervised Learning for Speech Enhancement.

Yu-Che Wang, Shrikant Venkataramani, Paris Smaragdis

CoRR, 2020

Sudo RM -RF: Efficient Networks for Universal Audio Source Separation.

Efthymios Tzinis, Zhepei Wang, Paris Smaragdis

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

End-To-End Non-Negative Autoencoders for Sound Source Separation.

Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Two-Step Sound Source Separation: Training On Learned Latent Targets.

Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization.

Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Continual Learning of New Sound Classes Using Generative Replay.

Zhepei Wang, Y. Cem Sübakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin

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

A Style Transfer Approach to Source Separation.

Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis

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

Deep Tensor Factorization for Spatially-Aware Scene Decomposition.

Jonah Casebeer, Michael Colomb, Paris Smaragdis

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

Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information.

Efthymios Tzinis, Shrikant Venkataramani, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2019

Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence.

Dylan Fagot, Herwig Wendt, Cédric Févotte, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2019

Multi-view Networks for Multi-channel Audio Classification.

Jonah Casebeer, Zhepei Wang, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 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

End-to-end Networks for Supervised Single-channel Speech Separation.

Shrikant Venkataramani, Paris Smaragdis

CoRR, 2018

Learning the Base Distribution in Implicit Generative Models.

Y. Cem Sübakan, Oluwasanmi Koyejo, Paris Smaragdis

CoRR, 2018

Multi-View Networks for Denoising of Arbitrary Numbers of Channels.

Jonah Casebeer, Brian Luc, Paris Smaragdis

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Generative Adversarial Source Separation.

Y. Cem Sübakan, Paris Smaragdis

Proceedings of the 2018 IEEE International Conference on Acoustics, 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

Bitwise Neural Networks for Efficient Single-Channel Source Separation.

Minje Kim, Paris Smaragdis

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Performance Based Cost Functions for End-to-End Speech Separation.

Shrikant Venkataramani, Ryley Higa, Paris Smaragdis

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

End-To-End Source Separation With Adaptive Front-Ends.

Shrikant Venkataramani, Jonah Casebeer, Paris Smaragdis

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Audition for multimedia computing.

Gerald Friedland, Paris Smaragdis, Josh H. McDermott, Bhiksha Raj

Proceedings of the Frontiers of Multimedia Research, 2018

2017

Neural Network Alternatives to Convolutive Audio Models for Source Separation.

Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis

CoRR, 2017

End-to-end Source Separation with Adaptive Front-Ends.

Shrikant Venkataramani, Paris Smaragdis

CoRR, 2017

Diagonal rnns in symbolic music modeling.

Y. Cem Sübakan, Paris Smaragdis

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

Towards end-to-end polyphonic music transcription: Transforming music audio directly to a score.

Ralf Gunter Correa Carvalho, Paris Smaragdis

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

AutoDub: Automatic Redubbing for Voiceover Editing.

Shrikant Venkataramani, Paris Smaragdis, Gautham J. Mysore

Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017

Neural network alternatives toconvolutive audio models for source separation.

Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

A neural network alternative to non-negative audio models.

Paris Smaragdis, Shrikant Venkataramani

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Robust Source Localization and Enhancement With a Probabilistic Steered Response Power Model.

Johannes Traa, David Wingate, Noah D. Stein, Paris Smaragdis

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Bitwise Neural Networks.

Minje Kim, Paris Smaragdis

CoRR, 2016

NoiseOut: A Simple Way to Prune Neural Networks.

Mohammad Babaeizadeh, Paris Smaragdis, Roy H. Campbell

CoRR, 2016

Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings.

Minje Kim, Paris Smaragdis

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Guest Editorial: Machine Learning for Signal Processing.

Saeid Sanei, Paris Smaragdis, Anthony T. S. Ho, Asoke K. Nandi, Jan Larsen

J. Signal Process. Syst., 2015

A State-Space Approach to Dynamic Nonnegative Matrix Factorization.

Nasser Mohammadiha, Paris Smaragdis, Ghazaleh Panahandeh, Simon Doclo

IEEE Trans. Signal Process., 2015

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation.

Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Compositional Models for Audio Processing: Uncovering the structure of sound mixtures.

Tuomas Virtanen, Jort Florent Gemmeke, Bhiksha Raj, Paris Smaragdis

IEEE Signal Process. Mag., 2015

Mixtures of Local Dictionaries for Unsupervised Speech Enhancement.

Minje Kim, Paris Smaragdis

IEEE Signal Process. Lett., 2015

A Dictionary Learning Approach for Factorial Gaussian Models.

Y. Cem Sübakan, Johannes Traa, Paris Smaragdis, Noah D. Stein

CoRR, 2015

Directional NMF for joint source localization and separation.

Johannes Traa, Paris Smaragdis, Noah D. Stein, David Wingate

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Method of moments learning for left-to-right Hidden Markov models.

Y. Cem Sübakan, Johannes Traa, Paris Smaragdis, Daniel J. Hsu

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Predicting Skill-Based Task Performance and Learning with fMRI Motor and Subcortical Network Connectivity.

Aki Nikolaidis, Drew Goatz, Paris Smaragdis, Arthur F. Kramer

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Joint acoustic and spectral modeling for speech dereverberation using non-negative representations.

Nasser Mohammadiha, Paris Smaragdis, Simon Doclo

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient manifold preserving audio source separation using locality sensitive hashing.

Minje Kim, Paris Smaragdis, Gautham J. Mysore

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures.

Minje Kim, Paris Smaragdis

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014

Multichannel source separation and tracking with RANSAC and directional statistics.

Johannes Traa, Paris Smaragdis

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view.

Paris Smaragdis, Cédric Févotte, Gautham J. Mysore, Nasser Mohammadiha, Matthew D. Hoffman

IEEE Signal Process. Mag., 2014

Spectral Learning of Mixture of Hidden Markov Models.

Y. Cem Sübakan, Johannes Traa, Paris Smaragdis

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Multiple speaker tracking with the Factorial von Mises-Fisher Filter.

Johannes Traa, Paris Smaragdis

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks.

Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Experiments on deep learning for speech denoising.

Ding Liu, Paris Smaragdis, Minje Kim

Proceedings of the INTERSPEECH 2014, 2014

Robust interchannel phase difference modeling with wrapped regression splines.

Johannes Traa, Paris Smaragdis

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Phase and level difference fusion for robust multichannel source separation.

Johannes Traa, Minje Kim, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2014

Deep learning for monaural speech separation.

Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization.

Minje Kim, Paris Smaragdis

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization.

Nasser Mohammadiha, Paris Smaragdis, Arne Leijon

IEEE Trans. Speech Audio Process., 2013

Privacy-Preserving Speech Processing: Cryptographic and String-Matching Frameworks Show Promise.

Manas A. Pathak, Bhiksha Raj, Shantanu Rane, Paris Smaragdis

IEEE Signal Process. Mag., 2013

A Wrapped Kalman Filter for Azimuthal Speaker Tracking.

Johannes Traa, Paris Smaragdis

IEEE Signal Process. Lett., 2013

Keynote addresses: From auditory masking to binary classification: Machine learning for speech separation.

DeLiang Wang, Rainer Martin, Peter Vary, Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Non-negative matrix factorization for irregularly-spaced transforms.

Paris Smaragdis, Minje Kim

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

About this non-negative business.

Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Low-artifact source separation using probabilistic latent component analysis.

Nasser Mohammadiha, Paris Smaragdis, Arne Leijon

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Simultaneous noise classification and reduction using a priori learned models.

Nasser Mohammadiha, Paris Smaragdis, Arne Leijon

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields.

Minje Kim, Paris Smaragdis

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

EMERALD: Characterization of emerging applications and algorithms for low-power devices.

Chuanjun Zhang, Glenn G. Ko, Jungwook Choi, Shang-nien Tsai, Minje Kim, Abner Guzmán-Rivera, Rob A. Rutenbar, Paris Smaragdis, Mi Sun Park, Vijaykrishnan Narayanan, Hongyi Xin, Onur Mutlu, Bin Li, Li Zhao, Mei Chen

Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2013

Manifold Preserving Hierarchical Topic Models for Quantization and Approximation.

Minje Kim, Paris Smaragdis

Proceedings of the 30th International Conference on Machine Learning, 2013

Blind multi-channel source separation by circular-linear statistical modeling of phase differences.

Johannes Traa, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2013

Prediction based filtering and smoothing to exploit temporal dependencies in NMF.

Nasser Mohammadiha, Paris Smaragdis, Arne Leijon

Proceedings of the IEEE International Conference on Acoustics, 2013

Collaborative audio enhancement using probabilistic latent component sharing.

Minje Kim, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

The Markov selection model for concurrent speech recognition.

Paris Smaragdis, Bhiksha Raj

Neurocomputing, 2012

Optimal cost function and magnitude power for NMF-based speech separation and music interpolation.

Brian King, Cédric Févotte, Paris Smaragdis

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Stereophonic spectrogram segmentation using Markov random fields.

Minje Kim, Paris Smaragdis, Glenn G. Ko, Rob A. Rutenbar

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Second Fiddle is Important Too: Pitch Tracking Individual Voices in Polyphonic Music.

Mert Bay, Andreas F. Ehmann, James W. Beauchamp, Paris Smaragdis, J. Stephen Downie

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Speech Enhancement by Online Non-negative Spectrogram Decomposition in Non-stationary Noise Environments.

Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis

Proceedings of the INTERSPEECH 2012, 2012

Following musical sources by example.

Paris Smaragdis, Gautham J. Mysore

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Noise-robust dynamic time warping using PLCA features.

Brian King, Paris Smaragdis, Gautham J. Mysore

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Singing-voice separation from monaural recordings using robust principal component analysis.

Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnson

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Clustering and synchronizing multi-camera video via landmark cross-correlation.

Nicholas J. Bryan, Paris Smaragdis, Gautham J. Mysore

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sound Recognition in Mixtures.

Juhan Nam, Gautham J. Mysore, Paris Smaragdis

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

A Non-negative Approach to Language Informed Speech Separation.

Gautham J. Mysore, Paris Smaragdis

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Online PLCA for Real-Time Semi-supervised Source Separation.

Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

An amplitude spectral Capon estimator with a variable filter length.

Jesper Kjær Nielsen, Paris Smaragdis, Mads Græsbøll Christensen, Søren Holdt Jensen

Proceedings of the 20th European Signal Processing Conference, 2012

Extraction of Speech from Mixture Signals.

Paris Smaragdis

Proceedings of the Techniques for Noise Robustness in Automatic Speech Recognition, 2012

2011

Missing Data Imputation for Time-Frequency Representations of Audio Signals.

Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Shashanka

J. Signal Process. Syst., 2011

Preface.

Martin Heckmann, Bhiksha Raj, Paris Smaragdis

Speech Commun., 2011

Polyphonic pitch tracking by example.

Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

A convolutive spectral decomposition approach to the separation of feedback from target speech.

Gautham J. Mysore, Paris Smaragdis

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Approximate nearest-subspace representations for sound mixtures.

Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2011

A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics.

Gautham J. Mysore, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2011

An adaptive time-frequency resolution approach for Non-negative Matrix Factorization based single channel sound source separation.

Serap Kirbiz, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Editorial for the Special Issue on Signal Models and Representations of Musical and Environmental Sounds.

Bertrand David, Masataka Goto, Laurent Daudet, Paris Smaragdis

IEEE Trans. Speech Audio Process., 2010

Scalable Audio-Content Analysis.

Bhiksha Raj, Paris Smaragdis, Malcolm Slaney, Chung-Hsien Wu, Liming Chen, Hyoung-Gook Kim

EURASIP J. Audio Speech Music. Process., 2010

Latent-variable decomposition based dereverberation of monaural and multi-channel signals.

Rita Singh, Bhiksha Raj, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2010

Non-negative Hidden Markov Modeling of Audio with Application to Source Separation.

Gautham J. Mysore, Paris Smaragdis, Bhiksha Raj

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009

Dynamic Range Extension Using Interleaved Gains.

Paris Smaragdis

IEEE Trans. Speech Audio Process., 2009

Separation by "humming": User-guided sound extraction from monophonic mixtures.

Paris Smaragdis, Gautham J. Mysore

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

User guided audio selection from complex sound mixtures.

Paris Smaragdis

Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology, 2009

A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds.

Paris Smaragdis, Madhusudana V. S. Shashanka, Bhiksha Raj

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

The UBS Virtual Maestro: an Interactive Conducting System.

Teresa Marrin Nakra, Yuri Ivanov, Paris Smaragdis, Christopher Ault

Proceedings of the 9th International Conference on New Interfaces for Musical Expression, 2009

Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints.

Paris Smaragdis, Madhusudana V. S. Shashanka, Bhiksha Raj, Gautham J. Mysore

Proceedings of the Independent Component Analysis and Signal Separation, 2009

Relative pitch estimation of multiple instruments.

Gautham J. Mysore, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Probabilistic Latent Variable Models as Nonnegative Factorizations.

Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Smaragdis

Comput. Intell. Neurosci., 2008

Advances in Nonnegative Matrix and Tensor Factorization.

Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang, Rafal Zdunek

Comput. Intell. Neurosci., 2008

Regularized non-negative matrix factorization with temporal dependencies for speech denoising.

Kevin W. Wilson, Bhiksha Raj, Paris Smaragdis

Proceedings of the INTERSPEECH 2008, 2008

Speech denoising using nonnegative matrix factorization with priors.

Kevin W. Wilson, Bhiksha Raj, Paris Smaragdis, Ajay Divakaran

Proceedings of the IEEE International Conference on Acoustics, 2008

Sparse and shift-invariant feature extraction from non-negative data.

Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Shashanka

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

A Framework for Secure Speech Recognition.

Paris Smaragdis, Madhusudana V. S. Shashanka

IEEE Trans. Speech Audio Process., 2007

Position and Trajectory Learning for Microphone Arrays.

Paris Smaragdis, Petros Boufounos

IEEE Trans. Speech Audio Process., 2007

Convolutive Speech Bases and Their Application to Supervised Speech Separation.

Paris Smaragdis

IEEE Trans. Speech Audio Process., 2007

Sparse Overcomplete Latent Variable Decomposition of Counts Data.

Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Smaragdis

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Sparse Overcomplete Decomposition for Single Channel Speaker Separation.

Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2007

Bandwidth Expansionwith a pólya URN Model.

Bhiksha Raj, Rita Singh, Madhusudana V. S. Shashanka, Paris Smaragdis

Proceedings of the IEEE International Conference on Acoustics, 2007

Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures.

Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Shashanka

Proceedings of the Independent Component Analysis and Signal Separation, 2007

Sensor and Data Systems, Audio-Assisted Cameras and Acoustic Doppler Sensors.

Kaustubh Kalgaonkar, Paris Smaragdis, Bhiksha Raj

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Probabilistic Decompositions of Spectra for Sound Separation.

Paris Smaragdis

Proceedings of the Blind Speech Separation, 2007

2006

Secure Sound Classification: Gaussian Mixture Models.

Madhusudana V. S. Shashanka, Paris Smaragdis

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Latent Dirichlet Decomposition for Single Channel Speaker Separation.

Bhiksha Raj, Madhusudana V. S. Shashanka, Paris Smaragdis

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Recognizing speech from simultaneous speakers.

Bhiksha Raj, Rita Singh, Paris Smaragdis

Proceedings of the INTERSPEECH 2005, 2005

Bandwidth expansion of narrowband speech using non-negative matrix factorization.

Dhananjay Bansal, Bhiksha Raj, Paris Smaragdis

Proceedings of the INTERSPEECH 2005, 2005

Exploiting Redundancy to Construct Listening Systems.

Paris Smaragdis

Proceedings of the Speech Separation by Humans and Machines, 2005

2004

Discovering auditory objects through non-negativity constraints.

Paris Smaragdis

Proceedings of the ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing, 2004

Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs.

Paris Smaragdis

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2002

Combining Musical and Cultural Features for Intelligent Style Detection.

Brian Whitman, Paris Smaragdis

Proceedings of the ISMIR 2002, 2002

2000

Scanned Synthesis: An Introduction and Demonstration of a New Synthesis and Signal Processing Technique.

Richard Boulanger, Paris Smaragdis, John ffitch

Proceedings of the 2000 International Computer Music Conference, 2000

1998

Blind separation of convolved mixtures in the frequency domain.

Paris Smaragdis

Neurocomputing, 1998

1996

NetSound: Realtime Audio from Semantic Descriptions.

Michael A. Casey, Paris Smaragdis

Proceedings of the 1996 International Computer Music Conference, 1996