Paris Smaragdis
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Computer Science
Why Is Paris Smaragdis Influential?
(Suggest an Edit or Addition)According to Wikipedia, Paris Smaragdis is a computer scientist noted for his contributions to audio signal processing, computer audition, and machine learning. He is currently an associate professor of computer science at the University of Illinois at Urbana-Champaign, Illinois. He currently holds over 35 patents in the areas of audio signal processing and machine learning.
Paris Smaragdis's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Non-negative matrix factorization for polyphonic music transcription (2003) (1005)
- Blind separation of convolved mixtures in the frequency domain (1998) (829)
- Convolutive Speech Bases and Their Application to Supervised Speech Separation (2007) (409)
- Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation (2015) (408)
- Deep learning for monaural speech separation (2014) (404)
- Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization (2013) (365)
- Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs (2004) (359)
- Singing-voice separation from monaural recordings using robust principal component analysis (2012) (337)
- Speech denoising using nonnegative matrix factorization with priors (2008) (277)
- Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures (2007) (267)
- Bitwise Neural Networks (2016) (198)
- A Probabilistic Latent Variable Model for Acoustic Modeling (2006) (180)
- Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view (2014) (157)
- Evaluation of blind signal separation methods (1999) (153)
- Probabilistic Latent Variable Models as Nonnegative Factorizations (2008) (145)
- Non-negative Hidden Markov Modeling of Audio with Application to Source Separation (2010) (134)
- Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks (2014) (131)
- Separation by “humming”: User-guided sound extraction from monophonic mixtures (2009) (112)
- Experiments on deep learning for speech denoising (2014) (110)
- A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics (2011) (102)
- Combining Musical and Cultural Features for Intelligent Style Detection (2002) (101)
- Regularized non-negative matrix factorization with temporal dependencies for speech denoising (2008) (98)
- Sparse and shift-invariant feature extraction from non-negative data (2008) (91)
- Sparse Overcomplete Latent Variable Decomposition of Counts Data (2007) (84)
- Latent variable decomposition of spectrograms for single channel speaker separation (2005) (80)
- A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds (2009) (78)
- A Framework for Secure Speech Recognition (2007) (76)
- AUDIO/VISUAL INDEPENDENT COMPONENTS (2003) (73)
- Discovering auditory objects through non-negativity constraints (2004) (70)
- Compositional Models for Audio Processing: Uncovering the structure of sound mixtures (2015) (69)
- Online PLCA for Real-Time Semi-supervised Source Separation (2012) (68)
- Speech Enhancement by Online Non-negative Spectrogram Decomposition in Non-stationary Noise Environments (2012) (63)
- Information theoretic approaches to source separation (1997) (62)
- Hidden Markov and Gaussian mixture models for automatic call classification. (2009) (61)
- End-To-End Source Separation With Adaptive Front-Ends (2017) (60)
- Shift-Invariant Probabilistic Latent Component Analysis (2007) (58)
- Redundancy reduction for computational audition, a unifying approach (2001) (57)
- Generative Adversarial Source Separation (2017) (57)
- Sudo RM -RF: Efficient Networks for Universal Audio Source Separation (2020) (53)
- Privacy-preserving speech processing: cryptographic and string-matching frameworks show promise (2013) (51)
- Bandwidth expansion of narrowband speech using non-negative matrix factorization (2005) (50)
- A neural network alternative to non-negative audio models (2016) (49)
- Missing data imputation for spectral audio signals (2009) (47)
- Two-Step Sound Source Separation: Training On Learned Latent Targets (2019) (46)
- Sparse Overcomplete Decomposition for Single Channel Speaker Separation (2007) (46)
- Mixtures of Local Dictionaries for Unsupervised Speech Enhancement (2015) (45)
- Optimal cost function and magnitude power for NMF-based speech separation and music interpolation (2012) (45)
- A Wrapped Kalman Filter for Azimuthal Speaker Tracking (2013) (41)
- Position and Trajectory Learning for Microphone Arrays (2007) (41)
- Relative pitch estimation of multiple instruments (2009) (40)
- Clustering and synchronizing multi-camera video via landmark cross-correlation (2012) (39)
- Efficient blind separation of convolved sound mixtures (1997) (39)
- Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information (2018) (39)
- Missing Data Imputation for Time-Frequency Representations of Audio Signals (2011) (39)
- Independent component analysis for automatic note extraction from musical trills. (2004) (37)
- NoiseOut: A Simple Way to Prune Neural Networks (2016) (36)
- Latent Dirichlet Decomposition for Single Channel Speaker Separation (2006) (36)
- Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures (2015) (35)
- Joint sparsity models for wideband array processing (2011) (35)
- The UBS Virtual Maestro: an Interactive Conducting System (2009) (32)
- Learning source trajectories using wrapped-phase hidden Markov models (2005) (28)
- Prediction based filtering and smoothing to exploit temporal dependencies in NMF (2013) (28)
- Multiple speaker tracking with the Factorial von Mises-Fisher Filter (2014) (28)
- Advances in Nonnegative Matrix and Tensor Factorization (2008) (27)
- Second Fiddle is Important Too: Pitch Tracking Individual Voices in Polyphonic Music (2012) (27)
- Multichannel Source Separation and Tracking With RANSAC and Directional Statistics (2014) (26)
- Relative-pitch tracking of multiple arbitrary sounds. (2009) (25)
- A non-negative framework for joint modeling of spectral structure and temporal dynamics in sound mixtures (2010) (25)
- Towards end-to-end polyphonic music transcription: Transforming music audio directly to a score (2017) (23)
- Scanned Synthesis: An Introduction and Demonstration of a New Synthesis and Signal Processing Technique (2000) (22)
- Latent-variable decomposition based dereverberation of monaural and multi-channel signals (2010) (22)
- Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields (2013) (22)
- Collaborative audio enhancement using probabilistic latent component sharing (2013) (22)
- Recognizing speech from simultaneous speakers (2005) (21)
- Bitwise Neural Networks for Efficient Single-Channel Source Separation (2018) (21)
- Self-supervised Learning for Speech Enhancement (2020) (21)
- A State-Space Approach to Dynamic Nonnegative Matrix Factorization (2015) (20)
- Blind Estimation of the Speech Transmission Index for Speech Quality Prediction (2018) (20)
- Automatic identification of individual killer whales. (2010) (19)
- Joint acoustic and spectral modeling for speech dereverberation using non-negative representations (2015) (18)
- Diagonal rnns in symbolic music modeling (2017) (18)
- Robust Source Localization and Enhancement With a Probabilistic Steered Response Power Model (2016) (18)
- Example-Driven Bandwidth Expansion (2007) (17)
- Stereophonic spectrogram segmentation using Markov random fields (2012) (16)
- Directional NMF for joint source localization and separation (2015) (16)
- Blind multi-channel source separation by circular-linear statistical modeling of phase differences (2013) (16)
- A Non-negative Approach to Language Informed Speech Separation (2012) (16)
- Differentiable Signal Processing With Black-Box Audio Effects (2021) (15)
- Noise-robust dynamic time warping using PLCA features (2012) (15)
- Neural network alternatives toconvolutive audio models for source separation (2017) (15)
- Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints (2009) (15)
- Performance Based Cost Functions for End-to-End Speech Separation (2018) (15)
- From Learning Music to Learning to Separate (2005) (15)
- Spectral Learning of Mixture of Hidden Markov Models (2014) (14)
- Probabilistic Decompositions of Spectra for Sound Separation (2007) (14)
- Manifold Preserving Hierarchical Topic Models for Quantization and Approximation (2013) (14)
- Compute and Memory Efficient Universal Sound Source Separation (2021) (14)
- Dynamic Range Extension Using Interleaved Gains (2009) (14)
- Sound Recognition in Mixtures (2012) (13)
- Polyphonic pitch tracking by example (2011) (13)
- Secure Sound Classification: Gaussian Mixture Models (2006) (13)
- Compositional models for audio processing (2014) (12)
- RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing (2022) (12)
- Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings (2016) (11)
- Continual Learning of New Sound Classes Using Generative Replay (2019) (11)
- User guided audio selection from complex sound mixtures (2009) (11)
- Separate But Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data (2021) (11)
- Topic Models for Audio Mixture Analysis (2009) (11)
- Sensor and Data Systems, Audio-Assisted Cameras and Acoustic Doppler Sensors (2007) (11)
- An adaptive time-frequency resolution approach for Non-negative Matrix Factorization based single channel sound source separation (2011) (10)
- The Markov selection model for concurrent speech recognition (2010) (10)
- A Simple yet Effective Method to Prune Dense Layers of Neural Networks (2017) (10)
- Method of moments learning for left-to-right Hidden Markov models (2015) (10)
- Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence (2019) (9)
- Phase and level difference fusion for robust multichannel source separation (2014) (9)
- Privacy Preserving Speech Processing (2013) (9)
- NetSound: Realtime Audio from Semantic Descriptions (1996) (9)
- End-to-end Networks for Supervised Single-channel Speech Separation (2018) (9)
- Efficient manifold preserving audio source separation using locality sensitive hashing (2015) (9)
- Deep Tensor Factorization for Spatially-Aware Scene Decomposition (2019) (9)
- Context Extraction Through Audio Signal Analysis (2009) (8)
- Bandwidth Expansionwith a pólya URN Model (2007) (7)
- Auto-DSP: Learning to Optimize Acoustic Echo Cancellers (2021) (7)
- Factorization With Temporal Dependencies for Speech Denoising (2008) (7)
- Low-artifact source separation using probabilistic latent component analysis (2013) (6)
- Robust interchannel phase difference modeling with wrapped regression splines (2014) (6)
- Predicting Skill-Based Task Performance and Learning with fMRI Motor and Subcortical Network Connectivity (2015) (6)
- Efficient Source Separation Using Bitwise Neural Networks (2018) (6)
- Learning the Base Distribution in Implicit Generative Models (2018) (6)
- Approximate nearest-subspace representations for sound mixtures (2011) (5)
- End-To-End Non-Negative Autoencoders for Sound Source Separation (2019) (5)
- VoiceAssist: Guiding Users to High-Quality Voice Recordings (2019) (5)
- Multi-View Networks for Denoising of Arbitrary Numbers of Channels (2018) (5)
- Extraction of Speech from Mixture Signals (2012) (5)
- Heterogeneous Target Speech Separation (2022) (4)
- A Style Transfer Approach to Source Separation (2019) (4)
- One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization (2020) (4)
- Non-negative matrix factorization for irregularly-spaced transforms (2013) (4)
- Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model (2022) (4)
- Meta-AF: Meta-Learning for Adaptive Filters (2022) (4)
- Probabilistic Latent Variable Model for Sparse Decompositions of Non-negative Data (2009) (4)
- Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization (2014) (4)
- Multi-view Networks for Multi-channel Audio Classification (2018) (3)
- Independent component analysis for onset detection in piano trills (2002) (3)
- Simultaneous noise classification and reduction using a priori learned models (2013) (3)
- Exploiting Redundancy to Construct Listening Systems (2005) (3)
- Neural correlates of training and transfer (2016) (3)
- Communication-Cost Aware Microphone Selection for Neural Speech Enhancement with Ad-Hoc Microphone Arrays (2020) (3)
- Privacy-Preserving Musical Database Matching (2007) (3)
- Static and Dynamic Source Separation Using Nonnegative Factorizations (3)
- Temporal Extensions of Nonnegative Matrix Factorization (2018) (3)
- Automatic classification of vocalizations with Gaussian Mixture Models and Hidden Markov Models (2008) (3)
- Learning Representations for New Sound Classes With Continual Self-Supervised Learning (2022) (2)
- DECONVOLUTION OF OVERLAPPING HPLC AROMATIC HYDROCARBONS PEAKS USING INDEPENDENT COMPONENT ANALYSIS ( ICA ) (2003) (2)
- Following musical sources by example (2012) (2)
- Dynamic Non-negative Models for Audio Source Separation (2018) (2)
- End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation (2022) (2)
- Guest Editorial: Machine Learning for Signal Processing (2015) (2)
- Semi-supervised Time Domain Target Speaker Extraction with Attention (2022) (2)
- Editorial: Special Section on Statistical and Perceptual Audio Processing (2006) (2)
- Neural Speech Synthesis on a Shoestring: Improving the Efficiency of Lpcnet (2022) (2)
- Optimizing Short-Time Fourier Transform Parameters via Gradient Descent (2020) (2)
- Point Cloud Audio Processing (2021) (2)
- EMERALD: Characterization of emerging applications and algorithms for low-power devices (2013) (2)
- Adaptive time-frequency resolution for single channel sound source separation based on non-negative matrix factorization (2011) (1)
- INDEPENDENT COMPONENT ANALYSIS ( ICA ) IN THE DECONVOLUTION OF OVERLAPPING HPLC AROMATIC PEAKS OF OIL (2003) (1)
- Optimizing your Csound instruments (2000) (1)
- Sound Event Detection with Adaptive Frequency Selection (2021) (1)
- An amplitude spectral Capon estimator with a variable filter length (2012) (1)
- A convolutive spectral decomposition approach to the separation of feedback from target speech (2011) (1)
- End-to-end music transcription using a neural network (2016) (1)
- Unified Gradient Reweighting for Model Biasing with Applications to Source Separation (2020) (1)
- About this non-negative business (2013) (1)
- SINGING-VOICE SEPARATION USING DEEP RECURRENT NEURAL NETWORKS (2014) (1)
- Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies (2022) (1)
- Audiovisual Independent Component Analysis (2003) (1)
- Preface (2011) (0)
- Latent Iterative Refinement for Modular Source Separation (2022) (0)
- Mechatronic acoustic research system for generating real large-scale dynamic datasets (2022) (0)
- Compute and Memory Efficient Universal Sound Source Separation (2021) (0)
- Sound separation by humming. (2010) (0)
- Abstract 1.0 Introduction Information Theoretic Auditory Grouping (0)
- A frequency shifting model of pitch (2008) (0)
- Guest Editorial: Machine Learning for Signal Processing (2015) (0)
- Don't Look Up: Ubiquitous Data Exfiltration Pathways in Commercial Spaces (2022) (0)
- A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement (2023) (0)
- AYERS OF N EURAL N ETWORKS (2016) (0)
- Neural acoustic fields (2023) (0)
- Audition for multimedia computing (2017) (0)
- Framewise WaveGAN: High Speed Adversarial Vocoder in Time Domain with Very Low Computational Complexity (2022) (0)
- EXPANSION OF NARROWBAND S TRIX FACTORIZA (0)
- AutoDub: Automatic Redubbing for Voiceover Editing (2017) (0)
- Speech Communication: Preface (2011) (0)
- Generative Modeling Based Manifold Learning for Adaptive Filtering Guidance (2023) (0)
- Supervised separation of musical sources (2007) (0)
- 1 Temporal extensions of nonnegative matrix factorization (2018) (0)
- Optimal Condition Training for Target Source Separation (2022) (0)
- Netsound: Structured Audio Encoding and Rendering (1996) (0)
- 3D-printed acoustic head simulators that talk and move (2023) (0)
- OF MOMENTS LEARNING FOR LEFT TO RIGHT HIDDEN MARKOV MODELS (2015) (0)
- Mechatronic Generation of Datasets for Acoustics Research (2022) (0)
- Editorial for the Special Issue on Signal Models and Representations of Musical and Environmental Sounds (2010) (0)
- Inferring missing spectral data. (2008) (0)
- Unsupervised Improvement of Audio-Text Cross-Modal Representations (2023) (0)
- VoiceAssist (2019) (0)
- Scalable Audio-Content Analysis (2010) (0)
- A Dictionary Learning Approach for Factorial Gaussian Models (2015) (0)
- Bandwidth extension with air and body-conduction microphones for speech enhancement (2023) (0)
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