Paris Smaragdis

发表

AutoDub: Automatic Redubbing for Voiceover Editing

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

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).

Automatic identification of individual killer whales.

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

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.

Combining Musical and Cultural Features for Intelligent Style Detection

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

Bitwise Neural Networks pdf

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

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.

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

Paris Smaragdis, 2004, ICA.

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

Walter Kellermann, S. Gannot, P. Naylor, 2023, IEEE Signal Processing Magazine.

Position and Trajectory Learning for Microphone Arrays

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

Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization

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

Experiments on deep learning for speech denoising

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

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

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

Blind separation of convolved mixtures in the frequency domain

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

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).

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

M. Ravanelli, P. Smaragdis, Cem Subakan, 2022, IEEE Signal Processing Letters.

Missing Data Imputation for Time-Frequency Representations of Audio Signals

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

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).

Probabilistic Latent Variable Models as Nonnegative Factorizations

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

Probabilistic Latent Variable Model for Sparse Decompositions of Non-negative Data

P. Smaragdis, B. Raj, M. Shashanka, 2009 .

Non-negative matrix factorization for polyphonic music transcription

P. Smaragdis, J.C. Brown, Judith C. Brown, 2003, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684).

Advances in Nonnegative Matrix and Tensor Factorization

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

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

Nicholas J. Bryan, P. Smaragdis, Jonah Casebeer, 2022, 2022 International Workshop on Acoustic Signal Enhancement (IWAENC).

Meta-AF: Meta-Learning for Adaptive Filters

Nicholas J. Bryan, P. Smaragdis, Jonah Casebeer, 2022, IEEE/ACM 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).

Online PLCA for Real-Time Semi-supervised Source Separation

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

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

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

AUDIO/VISUAL INDEPENDENT COMPONENTS

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

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 .

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).

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

Timothy B. Terriberry, P. Smaragdis, A. Krishnaswamy, 2022, INTERSPEECH.