NetSound: Realtime Audio from Semantic Descriptions. - Michael A. Casey; Paris Smaragdis (ICMC, 1996)

Blind separation of convolved mixtures in the frequency domain. - Paris Smaragdis (Neurocomputing, 1998)

Scanned Synthesis: An Introduction and Demonstration of a New Synthesis and Signal Processing Technique. - Richard Boulanger; Paris Smaragdis; John ffitch (ICMC, 2000)

Combining Musical and Cultural Features for Intelligent Style Detection. - Brian Whitman; Paris Smaragdis (ISMIR, 2002)

Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs. - Paris Smaragdis (ICA, 2004)

Discovering auditory objects through non-negativity constraints. - Paris Smaragdis (SAPA@INTERSPEECH, 2004)

Exploiting Redundancy to Construct Listening Systems. - Paris Smaragdis (Speech Separation by Humans and Machines, 2005)

Bandwidth expansion of narrowband speech using non-negative matrix factorization. - Dhananjay Bansal; Bhiksha Raj; Paris Smaragdis (INTERSPEECH, 2005)

Recognizing speech from simultaneous speakers. - Bhiksha Raj; Rita Singh; Paris Smaragdis (INTERSPEECH, 2005)

Latent Dirichlet Decomposition for Single Channel Speaker Separation. - Bhiksha Raj; Madhusudana V. S. Shashanka; Paris Smaragdis (ICASSP (5), 2006)

Secure Sound Classification: Gaussian Mixture Models. - Madhusudana V. S. Shashanka; Paris Smaragdis (ICASSP (3), 2006)

Probabilistic Decompositions of Spectra for Sound Separation. - Paris Smaragdis (Blind Speech Separation, 2007)

Sensor and Data Systems, Audio-Assisted Cameras and Acoustic Doppler Sensors. - Kaustubh Kalgaonkar; Paris Smaragdis; Bhiksha Raj (CVPR, 2007)

Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures. - Paris Smaragdis; Bhiksha Raj; Madhusudana V. S. Shashanka (ICA, 2007)

Bandwidth Expansionwith a pólya URN Model. - Bhiksha Raj; Rita Singh; Madhusudana V. S. Shashanka; Paris Smaragdis (ICASSP (4), 2007)

Sparse Overcomplete Decomposition for Single Channel Speaker Separation. - Madhusudana V. S. Shashanka; Bhiksha Raj; Paris Smaragdis (ICASSP (2), 2007)

A Framework for Secure Speech Recognition. - Paris Smaragdis; Madhusudana V. S. Shashanka (ICASSP (4), 2007)

Sparse Overcomplete Latent Variable Decomposition of Counts Data. - Madhusudana V. S. Shashanka; Bhiksha Raj; Paris Smaragdis (NIPS, 2007)

Convolutive Speech Bases and Their Application to Supervised Speech Separation. - Paris Smaragdis (IEEE Trans. Speech Audio Process., 2007)

Position and Trajectory Learning for Microphone Arrays. - Paris Smaragdis; Petros Boufounos (IEEE Trans. Speech Audio Process., 2007)

Sparse and shift-invariant feature extraction from non-negative data. - Paris Smaragdis; Bhiksha Raj; Madhusudana V. S. Shashanka (ICASSP, 2008)

Speech denoising using nonnegative matrix factorization with priors. - Kevin W. Wilson; Bhiksha Raj; Paris Smaragdis; Ajay Divakaran (ICASSP, 2008)

Regularized non-negative matrix factorization with temporal dependencies for speech denoising. - Kevin W. Wilson; Bhiksha Raj; Paris Smaragdis (INTERSPEECH, 2008)

Advances in Nonnegative Matrix and Tensor Factorization. - Andrzej Cichocki; Morten Mørup; Paris Smaragdis; Wenwu Wang 001; Rafal Zdunek (Comput. Intell. Neurosci., 2008)

Probabilistic Latent Variable Models as Nonnegative Factorizations. - Madhusudana V. S. Shashanka; Bhiksha Raj; Paris Smaragdis (Comput. Intell. Neurosci., 2008)

Relative pitch estimation of multiple instruments. - Gautham J. Mysore; Paris Smaragdis (ICASSP, 2009)

Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints. - Paris Smaragdis; Madhusudana V. S. Shashanka; Bhiksha Raj; Gautham J. Mysore (ICA, 2009)

The UBS Virtual Maestro: an Interactive Conducting System. - Teresa Marrin Nakra; Yuri Ivanov; Paris Smaragdis; Christopher Ault (NIME, 2009)

A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds. - Paris Smaragdis; Madhusudana V. S. Shashanka; Bhiksha Raj (NIPS, 2009)

User guided audio selection from complex sound mixtures. - Paris Smaragdis (UIST, 2009)

Separation by "humming": User-guided sound extraction from monophonic mixtures. - Paris Smaragdis; Gautham J. Mysore (WASPAA, 2009)

Dynamic Range Extension Using Interleaved Gains. - Paris Smaragdis (IEEE Trans. Speech Audio Process., 2009)

Non-negative Hidden Markov Modeling of Audio with Application to Source Separation. - Gautham J. Mysore; Paris Smaragdis; Bhiksha Raj (LVA/ICA, 2010)

Latent-variable decomposition based dereverberation of monaural and multi-channel signals. - Rita Singh; Bhiksha Raj; Paris Smaragdis (ICASSP, 2010)

Scalable Audio-Content Analysis. - Bhiksha Raj; Paris Smaragdis; Malcolm Slaney; Chung-Hsien Wu 001; Liming Chen 002; Hyoung-Gook Kim (EURASIP J. Audio Speech Music. Process., 2010)

Editorial for the Special Issue on Signal Models and Representations of Musical and Environmental Sounds. - Bertrand David 001; Masataka Goto; Laurent Daudet; Paris Smaragdis (IEEE Trans. Speech Audio Process., 2010)

An adaptive time-frequency resolution approach for Non-negative Matrix Factorization based single channel sound source separation. - Serap Kirbiz; Paris Smaragdis (ICASSP, 2011)

A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics. - Gautham J. Mysore; Paris Smaragdis (ICASSP, 2011)

Approximate nearest-subspace representations for sound mixtures. - Paris Smaragdis (ICASSP, 2011)

A convolutive spectral decomposition approach to the separation of feedback from target speech. - Gautham J. Mysore; Paris Smaragdis (MLSP, 2011)

Polyphonic pitch tracking by example. - Paris Smaragdis (WASPAA, 2011)

Preface. - Martin Heckmann; Bhiksha Raj; Paris Smaragdis (Speech Commun., 2011)

Missing Data Imputation for Time-Frequency Representations of Audio Signals. - Paris Smaragdis; Bhiksha Raj; Madhusudana V. S. Shashanka (J. Signal Process. Syst., 2011)

Extraction of Speech from Mixture Signals. - Paris Smaragdis (Techniques for Noise Robustness in Automatic Speech Recognition, 2012)

An amplitude spectral Capon estimator with a variable filter length. - Jesper Kjær Nielsen; Paris Smaragdis; Mads Græsbøll Christensen; Søren Holdt Jensen (EUSIPCO, 2012)

Online PLCA for Real-Time Semi-supervised Source Separation. - Zhiyao Duan; Gautham J. Mysore; Paris Smaragdis (LVA/ICA, 2012)

A Non-negative Approach to Language Informed Speech Separation. - Gautham J. Mysore; Paris Smaragdis (LVA/ICA, 2012)

Sound Recognition in Mixtures. - Juhan Nam; Gautham J. Mysore; Paris Smaragdis (LVA/ICA, 2012)

Clustering and synchronizing multi-camera video via landmark cross-correlation. - Nicholas J. Bryan; Paris Smaragdis; Gautham J. Mysore (ICASSP, 2012)

Singing-voice separation from monaural recordings using robust principal component analysis. - Po-Sen Huang; Scott Deeann Chen; Paris Smaragdis; Mark Hasegawa-Johnson (ICASSP, 2012)

Noise-robust dynamic time warping using PLCA features. - Brian King; Paris Smaragdis; Gautham J. Mysore (ICASSP, 2012)

Following musical sources by example. - Paris Smaragdis; Gautham J. Mysore (ICASSP, 2012)

Speech Enhancement by Online Non-negative Spectrogram Decomposition in Non-stationary Noise Environments. - Zhiyao Duan; Gautham J. Mysore; Paris Smaragdis (INTERSPEECH, 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 (ISMIR, 2012)

Stereophonic spectrogram segmentation using Markov random fields. - Minje Kim; Paris Smaragdis; Glenn G. Ko; Rob A. Rutenbar (MLSP, 2012)

Optimal cost function and magnitude power for NMF-based speech separation and music interpolation. - Brian King; Cédric Févotte; Paris Smaragdis (MLSP, 2012)

The Markov selection model for concurrent speech recognition. - Paris Smaragdis; Bhiksha Raj (Neurocomputing, 2012)

Collaborative audio enhancement using probabilistic latent component sharing. - Minje Kim; Paris Smaragdis (ICASSP, 2013)

Prediction based filtering and smoothing to exploit temporal dependencies in NMF. - Nasser Mohammadiha; Paris Smaragdis; Arne Leijon (ICASSP, 2013)

Blind multi-channel source separation by circular-linear statistical modeling of phase differences. - Johannes Traa; Paris Smaragdis (ICASSP, 2013)

Manifold Preserving Hierarchical Topic Models for Quantization and Approximation. - Minje Kim; Paris Smaragdis (ICML (3), 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; et al. (ISPASS, 2013)

Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields. - Minje Kim; Paris Smaragdis (MLSP, 2013)

Simultaneous noise classification and reduction using a priori learned models. - Nasser Mohammadiha; Paris Smaragdis; Arne Leijon (MLSP, 2013)

Low-artifact source separation using probabilistic latent component analysis. - Nasser Mohammadiha; Paris Smaragdis; Arne Leijon (WASPAA, 2013)

About this non-negative business. - Paris Smaragdis (WASPAA, 2013)

Non-negative matrix factorization for irregularly-spaced transforms. - Paris Smaragdis; Minje Kim (WASPAA, 2013)

Keynote addresses: From auditory masking to binary classification: Machine learning for speech separation. - DeLiang Wang; Rainer Martin 001; Peter Vary; Paris Smaragdis (WASPAA, 2013)

A Wrapped Kalman Filter for Azimuthal Speaker Tracking. - Johannes Traa; Paris Smaragdis (IEEE Signal Process. Lett., 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)

Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization. - Nasser Mohammadiha; Paris Smaragdis; Arne Leijon (IEEE Trans. Speech Audio Process., 2013)

Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization. - Minje Kim; Paris Smaragdis (GlobalSIP, 2014)

Deep learning for monaural speech separation. - Po-Sen Huang; Minje Kim; Mark Hasegawa-Johnson; Paris Smaragdis (ICASSP, 2014)

Phase and level difference fusion for robust multichannel source separation. - Johannes Traa; Minje Kim; Paris Smaragdis (ICASSP, 2014)

Robust interchannel phase difference modeling with wrapped regression splines. - Johannes Traa; Paris Smaragdis (SAM, 2014)

Experiments on deep learning for speech denoising. - Ding Liu; Paris Smaragdis; Minje Kim (INTERSPEECH, 2014)

Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. - Po-Sen Huang; Minje Kim; Mark Hasegawa-Johnson; Paris Smaragdis (ISMIR, 2014)

Multiple speaker tracking with the Factorial von Mises-Fisher Filter. - Johannes Traa; Paris Smaragdis (MLSP, 2014)

Spectral Learning of Mixture of Hidden Markov Models. - Y. Cem Sübakan; Johannes Traa; Paris Smaragdis (NIPS, 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)

Multichannel source separation and tracking with RANSAC and directional statistics. - Johannes Traa; Paris Smaragdis (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures. - Minje Kim; Paris Smaragdis (LVA/ICA, 2015)

Efficient manifold preserving audio source separation using locality sensitive hashing. - Minje Kim; Paris Smaragdis; Gautham J. Mysore (ICASSP, 2015)

Joint acoustic and spectral modeling for speech dereverberation using non-negative representations. - Nasser Mohammadiha; Paris Smaragdis; Simon Doclo (ICASSP, 2015)

Predicting Skill-Based Task Performance and Learning with fMRI Motor and Subcortical Network Connectivity. - Aki Nikolaidis; Drew Goatz; Paris Smaragdis; Arthur F. Kramer (PRNI, 2015)

Method of moments learning for left-to-right Hidden Markov models. - Y. Cem Sübakan; Johannes Traa; Paris Smaragdis; Daniel J. Hsu (WASPAA, 2015)

Directional NMF for joint source localization and separation. - Johannes Traa; Paris Smaragdis; Noah D. Stein; David Wingate (WASPAA, 2015)

A Dictionary Learning Approach for Factorial Gaussian Models. - Y. Cem Sübakan; Johannes Traa; Paris Smaragdis; Noah D. Stein (CoRR, 2015)

Mixtures of Local Dictionaries for Unsupervised Speech Enhancement. - Minje Kim; Paris Smaragdis (IEEE Signal Process. Lett., 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)

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)

A State-Space Approach to Dynamic Nonnegative Matrix Factorization. - Nasser Mohammadiha; Paris Smaragdis; Ghazaleh Panahandeh; Simon Doclo (IEEE Trans. Signal Process., 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)

Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings. - Minje Kim; Paris Smaragdis (ICASSP, 2016)

NoiseOut: A Simple Way to Prune Neural Networks. - Mohammad Babaeizadeh; Paris Smaragdis; Roy H. Campbell (CoRR, 2016)

Bitwise Neural Networks. - Minje Kim; Paris Smaragdis (CoRR, 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)

A neural network alternative to non-negative audio models. - Paris Smaragdis; Shrikant Venkataramani (ICASSP, 2017)

Neural network alternatives toconvolutive audio models for source separation. - Shrikant Venkataramani; Y. Cem Sübakan; Paris Smaragdis (MLSP, 2017)

AutoDub: Automatic Redubbing for Voiceover Editing. - Shrikant Venkataramani; Paris Smaragdis; Gautham J. Mysore (UIST, 2017)

Towards end-to-end polyphonic music transcription: Transforming music audio directly to a score. - Ralf Gunter Correa Carvalho; Paris Smaragdis (WASPAA, 2017)

Diagonal rnns in symbolic music modeling. - Y. Cem Sübakan; Paris Smaragdis (WASPAA, 2017)

End-to-end Source Separation with Adaptive Front-Ends. - Shrikant Venkataramani; Paris Smaragdis (CoRR, 2017)

Neural Network Alternatives to Convolutive Audio Models for Source Separation. - Shrikant Venkataramani; Y. Cem Sübakan; Paris Smaragdis (CoRR, 2017)

Audition for multimedia computing. - Gerald Friedland; Paris Smaragdis; Josh H. McDermott; Bhiksha Raj (Frontiers of Multimedia Research, 2018)

End-To-End Source Separation With Adaptive Front-Ends. - Shrikant Venkataramani; Jonah Casebeer; Paris Smaragdis (ACSSC, 2018)

Performance Based Cost Functions for End-to-End Speech Separation. - Shrikant Venkataramani; Ryley Higa; Paris Smaragdis (APSIPA, 2018)

Bitwise Neural Networks for Efficient Single-Channel Source Separation. - Minje Kim; Paris Smaragdis (ICASSP, 2018)

Blind Estimation of the Speech Transmission Index for Speech Quality Prediction. - Prem Seetharaman; Gautham J. Mysore; Paris Smaragdis; Bryan Pardo (ICASSP, 2018)

Generative Adversarial Source Separation. - Y. Cem Sübakan; Paris Smaragdis (ICASSP, 2018)

Multi-View Networks for Denoising of Arbitrary Numbers of Channels. - Jonah Casebeer; Brian Luc; Paris Smaragdis (IWAENC, 2018)

Learning the Base Distribution in Implicit Generative Models. - Y. Cem Sübakan; Oluwasanmi Koyejo; Paris Smaragdis (CoRR, 2018)

End-to-end Networks for Supervised Single-channel Speech Separation. - Shrikant Venkataramani; Paris Smaragdis (CoRR, 2018)

VoiceAssist: Guiding Users to High-Quality Voice Recordings. - Prem Seetharaman; Gautham J. Mysore; Bryan Pardo; Paris Smaragdis; Celso Gomes (CHI, 2019)

Multi-view Networks for Multi-channel Audio Classification. - Jonah Casebeer; Zhepei Wang; Paris Smaragdis (ICASSP, 2019)

Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence. - Dylan Fagot; Herwig Wendt; Cédric Févotte; Paris Smaragdis (ICASSP, 2019)

Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information. - Efthymios Tzinis; Shrikant Venkataramani; Paris Smaragdis (ICASSP, 2019)

Deep Tensor Factorization for Spatially-Aware Scene Decomposition. - Jonah Casebeer; Michael Colomb; Paris Smaragdis (WASPAA, 2019)

A Style Transfer Approach to Source Separation. - Shrikant Venkataramani; Efthymios Tzinis; Paris Smaragdis (WASPAA, 2019)

Continual Learning of New Sound Classes Using Generative Replay. - Zhepei Wang; Y. Cem Sübakan; Efthymios Tzinis; Paris Smaragdis; Laurent Charlin (WASPAA, 2019)

One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. - Stylianos I. Mimilakis; Nicholas J. Bryan; Paris Smaragdis (ICASSP, 2020)

Two-Step Sound Source Separation: Training On Learned Latent Targets. - Efthymios Tzinis; Shrikant Venkataramani; Zhepei Wang; Y. Cem Sübakan; Paris Smaragdis (ICASSP, 2020)

End-To-End Non-Negative Autoencoders for Sound Source Separation. - Shrikant Venkataramani; Efthymios Tzinis; Paris Smaragdis (ICASSP, 2020)

Sudo RM -RF: Efficient Networks for Universal Audio Source Separation. - Efthymios Tzinis; Zhepei Wang; Paris Smaragdis (MLSP, 2020)

Self-supervised Learning for Speech Enhancement. - Yu-Che Wang; Shrikant Venkataramani; Paris Smaragdis (CoRR, 2020)

Communication-Cost Aware Microphone Selection for Neural Speech Enhancement with Ad-Hoc Microphone Arrays. - Jonah Casebeer; Jamshed Kaikaus; Paris Smaragdis (ICASSP, 2021)

Differentiable Signal Processing With Black-Box Audio Effects. - Marco A. Martínez Ramírez; Oliver Wang; Paris Smaragdis; Nicholas J. Bryan (ICASSP, 2021)

Unified Gradient Reweighting for Model Biasing with Applications to Source Separation. - Efthymios Tzinis; Dimitrios Bralios; Paris Smaragdis (ICASSP, 2021)

Optimizing Short-Time Fourier Transform Parameters via Gradient Descent. - An Zhao; Krishna Subramani; Paris Smaragdis (ICASSP, 2021)

Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (WASPAA, 2021)

Point Cloud Audio Processing. - Krishna Subramani; Paris Smaragdis (WASPAA, 2021)

Separate But Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data. - Efthymios Tzinis; Jonah Casebeer; Zhepei Wang; Paris Smaragdis (WASPAA, 2021)

Sound Event Detection with Adaptive Frequency Selection. - Zhepei Wang; Jonah Casebeer; Adam Clemmitt; Efthymios Tzinis; Paris Smaragdis (WASPAA, 2021)

Neural Speech Synthesis on a Shoestring: Improving the Efficiency of Lpcnet. - Jean-Marc Valin; Umut Isik; Paris Smaragdis; Arvindh Krishnaswamy (ICASSP, 2022)

End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation. - Krishna Subramani; Jean-Marc Valin; Umut Isik; Paris Smaragdis; Arvindh Krishnaswamy (INTERSPEECH, 2022)

Heterogeneous Target Speech Separation. - Efthymios Tzinis; Gordon Wichern; Aswin Shanmugam Subramanian; Paris Smaragdis; Jonathan Le Roux (INTERSPEECH, 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 (INTERSPEECH, 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 (IWAENC, 2022)

Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies. - Junkai Wu; Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (IWAENC, 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)

Don't Look Up: Ubiquitous Data Exfiltration Pathways in Commercial Spaces. - Anku Adhikari; Samuel Guo; Paris Smaragdis; Marianne Winslett (CoRR, 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 003 (IEEE J. Sel. Top. Signal Process., 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)

Compute and Memory Efficient Universal Sound Source Separation. - Efthymios Tzinis; Zhepei Wang; Xilin Jiang; Paris Smaragdis (J. Signal Process. Syst., 2022)

Latent Iterative Refinement for Modular Source Separation. - Dimitrios Bralios; Efthymios Tzinis; Gordon Wichern; Paris Smaragdis; Jonathan Le Roux (ICASSP, 2023)

Generative Modeling Based Manifold Learning for Adaptive Filtering Guidance. - Karim Helwani; Paris Smaragdis; Michael M. Goodwin (ICASSP, 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 (ICASSP, 2023)

Optimal Condition Training for Target Source Separation. - Efthymios Tzinis; Gordon Wichern; Paris Smaragdis; Jonathan Le Roux (ICASSP, 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 (ICASSP, 2023)

Low-Complexity Streaming Speech Super-Resolution. - Erfan Soltanmohammadi; Paris Smaragdis; Michael M. Goodwin (MLSP, 2023)

Complete and Separate: Conditional Separation with Missing Target Source Attribute Completion. - Dimitrios Bralios; Efthymios Tzinis; Paris Smaragdis (WASPAA, 2023)

Unsupervised Improvement of Audio-Text Cross-Modal Representations. - Zhepei Wang; Cem Subakan; Krishna Subramani; Junkai Wu; Tiago Tavares; Fábio Ayres; Paris Smaragdis (WASPAA, 2023)

Audio Editing with Non-Rigid Text Prompts. - Francesco Paissan; Zhepei Wang; Mirco Ravanelli; Paris Smaragdis; Cem Subakan (CoRR, 2023)

Meta-AF: Meta-Learning for Adaptive Filters. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (IEEE ACM Trans. Audio Speech Lang. Process., 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., 2023)

Meta-AF Echo Cancellation for Improved Keyword Spotting. - Jonah Casebeer; Junkai Wu; Paris Smaragdis (ICASSP, 2024)

Sound Source Separation Using Latent Variational Block-Wise Disentanglement. - Karim Helwani; Masahito Togami; Paris Smaragdis; Michael M. Goodwin (ICASSP Workshops, 2024)

Noise-Robust DSP-Assisted Neural Pitch Estimation With Very Low Complexity. - Krishna Subramani; Jean-Marc Valin; Jan Büthe; Paris Smaragdis; Mike Goodwin (ICASSP, 2024)

Audio Editing with Non-Rigid Text Prompts. - Francesco Paissan; Luca Della Libera; Zhepei Wang; Paris Smaragdis; Mirco Ravanelli; Cem Subakan (INTERSPEECH, 2024)

Scaling Up Adaptive Filter Optimizers. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (CoRR, 2024)

Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations. - Krishna Subramani; Paris Smaragdis; Takuya Higuchi; Mehrez Souden (CoRR, 2024)

On Class Separability Pitfalls In Audio-Text Contrastive Zero-Shot Learning. - Tiago Tavares; Fábio Ayres; Zhepei Wang; Paris Smaragdis (CoRR, 2024)

Measuring similarity between embedding spaces using induced neighborhood graphs. - Tiago Tavares; Fábio Ayres; Paris Smaragdis (CoRR, 2024)

Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation. - Jackie Lin; Georg Götz; Hermes Sampedro Llopis; Haukur Hafsteinsson; Steinar Guðjónsson; Daniel Gert Nielsen; Finnur Pind; Paris Smaragdis; Dinesh Manocha; John R. Hershey; Trausti T. Kristjansson; Minje Kim (ICASSP Workshops, 2025)

On Class Separability Pitfalls In Audio-Text Contrastive Zero-Shot Learning. - Tiago Fernandes Tavares; Fabio José Ayres; Zhepei Wang; Paris Smaragdis (ICASSP, 2025)

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA. - Shayan K. Azmoodeh; Krishna Subramani; Paris Smaragdis (MLSP, 2025)

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders. - Dimitrios Bralios; Jonah Casebeer; Paris Smaragdis (MLSP, 2025)

Learning to Upsample and Upmix Audio in the Latent Domain. - Dimitrios Bralios; Paris Smaragdis; Jonah Casebeer (CoRR, 2025)

User-guided Generative Source Separation. - Yutong Wen; Minje Kim; Paris Smaragdis (CoRR, 2025)

Adaptive Slimming for Scalable and Efficient Speech Enhancement. - Riccardo Miccini; Minje Kim; Clément Laroche; Luca Pezzarossa; Paris Smaragdis (CoRR, 2025)

Combolutional Neural Networks. - Cameron Churchwell; Minje Kim; Paris Smaragdis (CoRR, 2025)