Paris Smaragdis

发表

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

Mert Bay, Andreas F. Ehmann, James W. Beauchamp, 2012, ISMIR.

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

Paris Smaragdis, Gautham J. Mysore, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

AUDIO/VISUAL INDEPENDENT COMPONENTS

Paris Smaragdis, Michael A. Casey, Northampton Square, 2003 .

Adobe Systems

Bhiksha Raj, Paris Smaragdis, Madhusudana V. S. Shashanka, 1998 .

Audiovisual Independent Component Analysis

Paris Smaragdis, Michael A. Casey, 2003 .

NoiseOut: A Simple Way to Prune Neural Networks pdf

Paris Smaragdis, Roy H. Campbell, Mohammad Babaeizadeh, 2016, ArXiv.

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

Paris Smaragdis, Minje Kim, P. Smaragdis, 2015, LVA/ICA.

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

Paris Smaragdis, Y. Cem Sübakan, Johannes Traa, 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

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

DeLiang Wang, Rainer Martin, Paris Smaragdis, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Stereophonic spectrogram segmentation using Markov random fields

Rob A. Rutenbar, Paris Smaragdis, Minje Kim, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Bitwise Neural Networks pdf

Paris Smaragdis, Minje Kim, P. Smaragdis, 2016, ArXiv.

A Non-negative Approach to Language Informed Speech Separation

Paris Smaragdis, Gautham J. Mysore, 2012, LVA/ICA.

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

Bhiksha Raj, Rita Singh, Paris Smaragdis, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Paris Smaragdis, Gautham J. Mysore, P. Smaragdis, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient blind separation of convolved sound mixtures

Paris Smaragdis, P. Smaragdis, 1997, Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics.

Advances in Nonnegative Matrix and Tensor Factorization

Andrzej Cichocki, Paris Smaragdis, Morten Mørup, 2008, Comput. Intell. Neurosci..

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

Paris Smaragdis, Johannes Traa, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Optimizing your Csound instruments

Paris Smaragdis, 2000 .

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

Bhiksha Raj, Paris Smaragdis, Kaustubh Kalgaonkar, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

A Wrapped Kalman Filter for Azimuthal Speaker Tracking

Paris Smaragdis, Johannes Traa, 2013, IEEE Signal Processing Letters.

Blind separation of convolved mixtures in the frequency domain

Paris Smaragdis, P. Smaragdis, Paris Smaragdis, 1998, Neurocomputing.

Latent Dirichlet Decomposition for Single Channel Speaker Separation

Bhiksha Raj, Paris Smaragdis, Madhusudana V. S. Shashanka, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Optimizing Short-Time Fourier Transform Parameters via Gradient Descent pdf

Paris Smaragdis, Krishna Subramani, An Zhao, 2020, ArXiv.

Privacy-preserving speech processing: cryptographic and string-matching frameworks show promise

Bhiksha Raj, Paris Smaragdis, Shantanu Rane, 2013, IEEE Signal Processing Magazine.

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

Paris Smaragdis, Ralf Gunter Correa Carvalho, P. Smaragdis, 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

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

Bhiksha Raj, Paris Smaragdis, Kevin W. Wilson, 2008, INTERSPEECH.

Recognizing speech from simultaneous speakers

Bhiksha Raj, Rita Singh, Paris Smaragdis, 2005, INTERSPEECH.

Simultaneous noise classification and reduction using a priori learned models

Paris Smaragdis, Arne Leijon, Nasser Mohammadiha, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization

Paris Smaragdis, Arne Leijon, Nasser Mohammadiha, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Example-Driven Bandwidth Expansion

Bhiksha Raj, Paris Smaragdis, 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Approximate nearest-subspace representations for sound mixtures

Paris Smaragdis, P. Smaragdis, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dynamic Non-negative Models for Audio Source Separation

Paris Smaragdis, Gautham J. Mysore, Nasser Mohammadiha, 2018 .

VoiceAssist: Guiding Users to High-Quality Voice Recordings

Paris Smaragdis, Gautham J. Mysore, Bryan Pardo, 2019, CHI.

Self-supervised Learning for Speech Enhancement pdf

Paris Smaragdis, Yu-Che Wang, Shrikant Venkataramani, 2020, ArXiv.

The Markov selection model for concurrent speech recognition

Bhiksha Raj, Paris Smaragdis, 2010 .

Sound Recognition in Mixtures

Juhan Nam, Paris Smaragdis, Gautham J. Mysore, 2012, LVA/ICA.

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

Paris Smaragdis, Nicholas J. Bryan, Stylianos Ioannis Mimilakis, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convolutive Speech Bases and Their Application to Supervised Speech Separation

Paris Smaragdis, P. Smaragdis, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

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

Paris Smaragdis, Shrikant Venkataramani, Ryley Higa, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

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

Efthymios Tzinis, Paris Smaragdis, Dimitrios Bralios, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Probabilistic Latent Variable Models as Nonnegative Factorizations

Bhiksha Raj, Paris Smaragdis, Madhusudana V. S. Shashanka, 2008, Comput. Intell. Neurosci..

Polyphonic pitch tracking by example

Paris Smaragdis, 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Audition for multimedia computing

Paris Smaragdis, Gerald Friedland, Bhiksha Raj, 2018, Frontiers of Multimedia Research.

Separation by “humming”: User-guided sound extraction from monophonic mixtures

Paris Smaragdis, Gautham J. Mysore, P. Smaragdis, 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

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

Paris Smaragdis, P. Smaragdis, 2004, ICA.

Context Extraction Through Audio Signal Analysis

Regunathan Radhakrishnan, Paris Smaragdis, Kevin W. Wilson, 2009 .

Scalable Audio-Content Analysis

Chung-Hsien Wu, Liming Chen, Bhiksha Raj, 2010, EURASIP J. Audio Speech Music. Process..

Bitwise Neural Networks for Efficient Single-Channel Source Separation

Paris Smaragdis, Minje Kim, P. Smaragdis, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

AutoDub: Automatic Redubbing for Voiceover Editing

Paris Smaragdis, Gautham J. Mysore, Shrikant Venkataramani, 2017, UIST.

Joint sparsity models for wideband array processing

Bhiksha Raj, Paris Smaragdis, Petros T. Boufounos, 2011, Optical Engineering + Applications.

Collaborative audio enhancement using probabilistic latent component sharing

Paris Smaragdis, Minje Kim, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech denoising using nonnegative matrix factorization with priors

Bhiksha Raj, Paris Smaragdis, Ajay Divakaran, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Paris Smaragdis, Mark Hasegawa-Johnson, Minje Kim, 2014, ISMIR.

A Probabilistic Latent Variable Model for Acoustic Modeling

Bhiksha Raj, Paris Smaragdis, Madhusudana Shashanka, 2006 .

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

Masataka Goto, Paris Smaragdis, Laurent Daudet, 2010, IEEE Trans. Speech Audio Process..

Directional NMF for joint source localization and separation

Paris Smaragdis, Noah D. Stein, David Wingate, 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

A Simple yet Effective Method to Prune Dense Layers of Neural Networks

Paris Smaragdis, Roy H. Campbell, Mohammad Babaeizadeh, 2017 .

Learning the Base Distribution in Implicit Generative Models pdf

Oluwasanmi Koyejo, Paris Smaragdis, Y. Cem Sübakan, 2018, ArXiv.

A Style Transfer Approach to Source Separation

Efthymios Tzinis, Paris Smaragdis, Shrikant Venkataramani, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

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

Paris Smaragdis, John ffitch, Richard Boulanger, 2000, ICMC.

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

Paris Smaragdis, Arthur F. Kramer, Aki Nikolaidis, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Diagonal rnns in symbolic music modeling

Paris Smaragdis, Y. Cem Sübakan, P. Smaragdis, 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Sparse Overcomplete Latent Variable Decomposition of Counts Data

Bhiksha Raj, Paris Smaragdis, Madhusudana V. S. Shashanka, 2007, NIPS.

Multichannel Source Separation and Tracking With RANSAC and Directional Statistics

Paris Smaragdis, Johannes Traa, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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

Paris Smaragdis, Mark Hasegawa-Johnson, Minje Kim, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Neural network alternatives toconvolutive audio models for source separation

Paris Smaragdis, Y. Cem Sübakan, Shrikant Venkataramani, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

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

Paris Smaragdis, Herwig Wendt, Dylan Fagot, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Extraction of Speech from Mixture Signals

Paris Smaragdis, P. Smaragdis, 2012, Techniques for Noise Robustness in Automatic Speech Recognition.

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

Efthymios Tzinis, Paris Smaragdis, Y. Cem Sübakan, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Manifold Preserving Hierarchical Topic Models for Quantization and Approximation

Paris Smaragdis, Minje Kim, 2013, ICML.

Topic Models for Audio Mixture Analysis

Paris Smaragdis, Madhusudana Shashanka, 2009 .

Noise-robust dynamic time warping using PLCA features

Paris Smaragdis, Gautham J. Mysore, Brian King, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spectral Learning of Mixture of Hidden Markov Models

Paris Smaragdis, Y. Cem Sübakan, Johannes Traa, 2014, NIPS.

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

Paris Smaragdis, Gautham J. Mysore, Nicholas J. Bryan, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Probabilistic Decompositions of Spectra for Sound Separation

Paris Smaragdis, P. Smaragdis, 2007, Blind Speech Separation.

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

Paris Smaragdis, Shrikant Venkataramani, P. Smaragdis, 2017, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Multi-view Networks for Multi-channel Audio Classification

Paris Smaragdis, Jonah Casebeer, Zhepei Wang, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adaptive time-frequency resolution for single channel sound source separation based on non-negative matrix factorization

Paris Smaragdis, Serap Kirbiz, 2011, 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).

Information theoretic approaches to source separation

Paris Smaragdis, P. Smaragdis, 1997 .

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

Bhiksha Raj, Paris Smaragdis, Tuomas Virtanen, 2015, IEEE Signal Processing Magazine.

User guided audio selection from complex sound mixtures

Paris Smaragdis, 2009, UIST '09.

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

Paris Smaragdis, Minje Kim, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Mixtures of Local Dictionaries for Unsupervised Speech Enhancement

Paris Smaragdis, Minje Kim, 2015, IEEE Signal Processing Letters.

Exploiting Redundancy to Construct Listening Systems

Paris Smaragdis, P. Smaragdis, 2005, Speech Separation by Humans and Machines.

The UBS Virtual Maestro: an Interactive Conducting System

Yuri Ivanov, Paris Smaragdis, Christopher Ault, 2009, NIME.

Bandwidth expansion of narrowband speech using non-negative matrix factorization

Bhiksha Raj, Paris Smaragdis, Dhananjay Bansal, 2005, INTERSPEECH.

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

Bhiksha Raj, Paris Smaragdis, Gautham J. Mysore, 2009, ICA.

Preface

Bhiksha Raj, Paris Smaragdis, Martin Heckmann, 2011, Speech Commun..

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

Paris Smaragdis, Serap Kirbiz, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Paris Smaragdis, Gautham J. Mysore, Matthew D. Hoffman, 2014, IEEE Signal Processing Magazine.

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

Bhiksha Raj, Paris Smaragdis, Madhusudana V. S. Shashanka, 2009, NIPS.

Position and Trajectory Learning for Microphone Arrays

Paris Smaragdis, Petros Boufounos, P. Smaragdis, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

A non-negative framework for joint modeling of spectral structure and temporal dynamics in sound mixtures

Julius O. Smith, Robert Tibshirani, Paris Smaragdis, 2010 .

A Dictionary Learning Approach for Factorial Gaussian Models pdf

Paris Smaragdis, Noah D. Stein, Y. Cem Sübakan, 2015, ArXiv.

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

Efthymios Tzinis, Paris Smaragdis, Shrikant Venkataramani, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Netsound: Structured Audio Encoding and Rendering

Paris Smaragdis, Michael A. Casey, 1996 .

Speech Communication: Preface

Bhiksha Raj, Paris Smaragdis, Martin Heckmann, 2011 .

Multiple speaker tracking with the Factorial von Mises-Fisher Filter

Paris Smaragdis, Johannes Traa, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Deep Tensor Factorization for Spatially-Aware Scene Decomposition

Paris Smaragdis, Jonah Casebeer, Michael Colomb, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Robust interchannel phase difference modeling with wrapped regression splines

Paris Smaragdis, Johannes Traa, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

A Framework for Secure Speech Recognition

Paris Smaragdis, Madhusudana Shashanka, 2007, IEEE Trans. Speech Audio Process..

Experiments on deep learning for speech denoising

Paris Smaragdis, Ding Liu, Minje Kim, 2014, INTERSPEECH.

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

Paris Smaragdis, Minje Kim, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient manifold preserving audio source separation using locality sensitive hashing

Paris Smaragdis, Gautham J. Mysore, Minje Kim, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays pdf

Paris Smaragdis, Jonah Casebeer, Jamshed Kaikaus, 2020, ArXiv.

Blind Estimation of the Speech Transmission Index for Speech Quality Prediction

Paris Smaragdis, Gautham J. Mysore, Bryan Pardo, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Prediction based filtering and smoothing to exploit temporal dependencies in NMF

Paris Smaragdis, Arne Leijon, Nasser Mohammadiha, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Phase and level difference fusion for robust multichannel source separation

Paris Smaragdis, Minje Kim, Johannes Traa, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient Source Separation Using Bitwise Neural Networks

Paris Smaragdis, Minje Kim, P. Smaragdis, 2018 .

NetSound: Realtime Audio from Semantic Descriptions

Paris Smaragdis, Michael A. Casey, 1996, ICMC.

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

Efthymios Tzinis, Paris Smaragdis, Zhepei Wang, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Combining Musical and Cultural Features for Intelligent Style Detection

Paris Smaragdis, Brian Whitman, P. Smaragdis, 2002, ISMIR.

Missing Data Imputation for Time-Frequency Representations of Audio Signals

Bhiksha Raj, Paris Smaragdis, Madhusudana V. S. Shashanka, 2011, J. Signal Process. Syst..

Continual Learning of New Sound Classes Using Generative Replay

Efthymios Tzinis, Paris Smaragdis, Y. Cem Sübakan, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

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

Bhiksha Raj, Paris Smaragdis, Gautham J. Mysore, 2010, LVA/ICA.

The Markov selection model for concurrent speech recognition

Bhiksha Raj, Paris Smaragdis, P. Smaragdis, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Following musical sources by example

Paris Smaragdis, Gautham J. Mysore, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

About this non-negative business

Paris Smaragdis, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Evaluation of blind signal separation methods

Paris Smaragdis, Kari Torkkola, Dwe Daniël Schobben, 1999 .

Editorial: Special Section on Statistical and Perceptual Audio Processing

Bhiksha Raj, Paris Smaragdis, Daniel P. W. Ellis, 2006 .

Multi-View Networks for Denoising of Arbitrary Numbers of Channels

Paris Smaragdis, Jonah Casebeer, Brian Luc, 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

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

Paris Smaragdis, Gautham J. Mysore, Zhiyao Duan, 2012, INTERSPEECH.

Non-negative matrix factorization for irregularly-spaced transforms

Paris Smaragdis, Minje Kim, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Low-artifact source separation using probabilistic latent component analysis

Paris Smaragdis, Arne Leijon, Nasser Mohammadiha, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

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

Paris Smaragdis, Simon Doclo, Nasser Mohammadiha, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Missing data imputation for spectral audio signals

Paris Smaragdis, Madhusudana Shashanka, Bhiksha Raj, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

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

Paris Smaragdis, Noah D. Stein, David Wingate, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Deep learning for monaural speech separation

Paris Smaragdis, Mark Hasegawa-Johnson, Minje Kim, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Bhiksha Raj, Paris Smaragdis, Madhusudana V. S. Shashanka, 2007, ICA.

An amplitude spectral Capon estimator with a variable filter length

Søren Holdt Jensen, Paris Smaragdis, Mads Græsbøll Christensen, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Relative pitch estimation of multiple instruments

Paris Smaragdis, Gautham J. Mysore, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automatic identification of individual killer whales.

Paris Smaragdis, Judith C Brown, Anna Nousek-McGregor, 2010, The Journal of the Acoustical Society of America.

From Learning Music to Learning to Separate

Paris Smaragdis, P. Smaragdis, 2005 .

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

Paris Smaragdis, Mark Hasegawa-Johnson, Scott Deeann Chen, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mitsubishi Electric Research Laboratories

Paris Smaragdis, Giménez, 1994 .

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

Efthymios Tzinis, Paris Smaragdis, Shrikant Venkataramani, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A State-Space Approach to Dynamic Nonnegative Matrix Factorization

Paris Smaragdis, Simon Doclo, Nasser Mohammadiha, 2015, IEEE Transactions on Signal Processing.

Secure Sound Classification: Gaussian Mixture Models

Paris Smaragdis, Madhusudana V. S. Shashanka, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Bandwidth Expansionwith a pólya URN Model

Bhiksha Raj, Rita Singh, Paris Smaragdis, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

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

Paris Smaragdis, Brian King, Cédric Févotte, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

A Framework for Secure Speech Recognition

Paris Smaragdis, Madhusudana V. S. Shashanka, P. Smaragdis, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Sparse Overcomplete Decomposition for Single Channel Speaker Separation

Bhiksha Raj, Paris Smaragdis, Madhusudana V. S. Shashanka, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Guest Editorial: Machine Learning for Signal Processing

Paris Smaragdis, Jan Larsen, Asoke K. Nandi, 2015, Journal of Signal Processing Systems.

Dynamic Range Extension Using Interleaved Gains

Paris Smaragdis, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Generative Adversarial Source Separation

Paris Smaragdis, Y. Cem Sübakan, P. Smaragdis, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A neural network alternative to non-negative audio models

Paris Smaragdis, Shrikant Venkataramani, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Relative-pitch tracking of multiple arbitrary sounds.

Paris Smaragdis, 2009, The Journal of the Acoustical Society of America.

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

Paris Smaragdis, Shrikant Venkataramani, 2018, ArXiv.

Online PLCA for Real-Time Semi-supervised Source Separation

Paris Smaragdis, Gautham J. Mysore, Zhiyao Duan, 2012, LVA/ICA.

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

Rob A. Rutenbar, Narayanan Vijaykrishnan, Mei Chen, 2013, 2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

Privacy-Preserving Musical Database Matching

Paris Smaragdis, Madhusudana Shashanka, 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

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

Paris Smaragdis, Minje Kim, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Differentiable Signal Processing With Black-Box Audio Effects

Paris Smaragdis, Oliver Wang, Nicholas J. Bryan, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Auto-DSP: Learning to Optimize Acoustic Echo Cancellers

Paris Smaragdis, Nicholas J. Bryan, Jonah Casebeer, 2021, 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Optimizing Short-Time Fourier Transform Parameters via Gradient Descent

Paris Smaragdis, Krishna Subramani, An Zhao, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Efthymios Tzinis, Paris Smaragdis, Jonah Casebeer, 2021, 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Point Cloud Audio Processing

Paris Smaragdis, Krishna Subramani, 2021, 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Sound Event Detection with Adaptive Frequency Selection

Efthymios Tzinis, Paris Smaragdis, Jonah Casebeer, 2021, 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

End-to-end music transcription using a neural network

Paris Smaragdis, 2016 .

Hidden Markov and Gaussian mixture models for automatic call classification.

Paris Smaragdis, Judith C. Brown, Judith C Brown, 2009, The Journal of the Acoustical Society of America.

Factorization With Temporal Dependencies for Speech Denoising

Bhiksha Raj, Paris Smaragdis, Kevin W. Wilson, 2008 .