Daniel P. W. Ellis

ORCID

Publication Activity (10 Years)

Years Active: 1991-2023
Publications (10 Years): 43

Top Venues

Publications

R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal
Dataset Balancing Can Hurt Model Performance. ICASSP (2023)
R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal
Dataset balancing can hurt model performance. CoRR (2023)
Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis
MuLan: A Joint Embedding of Music Audio and Natural Language. CoRR (2022)
Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis
MuLan: A Joint Embedding of Music Audio and Natural Language. ISMIR (2022)
Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. DCASE (2022)
Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system. CoRR (2022)
Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal
The Benefit of Temporally-Strong Labels in Audio Event Classification. ICASSP (2021)
Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal
The Benefit Of Temporally-Strong Labels In Audio Event Classification. CoRR (2021)
Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
Self-Supervised Learning from Automatically Separated Sound Scenes. CoRR (2021)
Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
What's all the Fuss about Free Universal Sound Separation Data? ICASSP (2021)
Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
Self-Supervised Learning from Automatically Separated Sound Scenes. WASPAA (2021)
Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. ICASSP (2020)
Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Daniel P. W. Ellis, John R. Hershey
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. CoRR (2020)
Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking. CoRR (2020)
Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis
Improving Universal Sound Separation Using Sound Classification. ICASSP (2020)
Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson
Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. ICASSP (2020)
Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. IEEE Signal Process. Lett. 27 (2020)
Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
What's All the FUSS About Free Universal Sound Separation Data? CoRR (2020)
Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra
Audio tagging with noisy labels and minimal supervision. CoRR (2019)
Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra
Learning Sound Event Classifiers from Web Audio with Noisy Labels. ICASSP (2019)
Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis
Improving Universal Sound Separation Using Sound Classification. CoRR (2019)
Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. CoRR (2019)
Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra
Learning Sound Event Classifiers from Web Audio with Noisy Labels. CoRR (2019)
Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra
Audio Tagging with Noisy Labels and Minimal Supervision. DCASE (2019)
Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous
Unsupervised Learning of Semantic Audio Representations. ICASSP (2018)
Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra
General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline. DCASE (2018)
Sourish Chaudhuri, Joseph Roth, Daniel P. W. Ellis, Andrew C. Gallagher, Liat Kaver, Radhika Marvin, Caroline Pantofaru, Nathan Reale, Loretta Guarino Reid, Kevin W. Wilson, Zhonghua Xi
AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies. CoRR (2018)
Sourish Chaudhuri, Joseph Roth, Daniel P. W. Ellis, Andrew C. Gallagher, Liat Kaver, Radhika Marvin, Caroline Pantofaru, Nathan Reale, Loretta Guarino Reid, Kevin W. Wilson, Zhonghua Xi
AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies. INTERSPEECH (2018)
Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. CoRR (2018)
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin W. Wilson
CNN architectures for large-scale audio classification. ICASSP (2017)
Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous
Unsupervised Learning of Semantic Audio Representations. CoRR (2017)
Aren Jansen, Jort F. Gemmeke, Daniel P. W. Ellis, Xiaofeng Liu, Wade Lawrence, Dylan Freedman
Large-scale audio event discovery in one million YouTube videos. ICASSP (2017)
Jort F. Gemmeke, Daniel P. W. Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R. Channing Moore, Manoj Plakal, Marvin Ritter
Audio Set: An ontology and human-labeled dataset for audio events. ICASSP (2017)
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin W. Wilson
CNN Architectures for Large-Scale Audio Classification. CoRR (2016)
Colin Raffel, Daniel P. W. Ellis
Pruning subsequence search with attention-based embedding. ICASSP (2016)
Colin Raffel, Daniel P. W. Ellis
Extracting Ground-Truth Information from MIDI Files: A MIDIfesto. ISMIR (2016)
Colin Raffel, Daniel P. W. Ellis
Optimizing DTW-based audio-to-MIDI alignment and matching. ICASSP (2016)
Colin Raffel, Daniel P. W. Ellis
Large-Scale Content-Based Matching of MIDI and Audio Files. ISMIR (2015)
Jonathan Le Roux, Emmanuel Vincent, John R. Hershey, Daniel P. W. Ellis
Micbots: Collecting large realistic datasets for speech and audio research using mobile robots. ICASSP (2015)
Colin Raffel, Daniel P. W. Ellis
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems. CoRR (2015)
Dawen Liang, Minshu Zhan, Daniel P. W. Ellis
Content-Aware Collaborative Music Recommendation Using Pre-trained Neural Networks. ISMIR (2015)
Brian McFee, Colin Raffel, Dawen Liang, Daniel P. W. Ellis, Matt McVicar, Eric Battenberg, Oriol Nieto
librosa: Audio and Music Signal Analysis in Python. SciPy (2015)
Diego Furtado Silva, Vinícius M. A. de Souza, Daniel P. W. Ellis, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods. J. Intell. Robotic Syst. 80 (Supplement-1) (2015)
Zhuo Chen, Brian McFee, Daniel P. W. Ellis
Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition. INTERSPEECH (2014)
Justin Salamon, Emilia Gómez, Daniel P. W. Ellis, Gaël Richard
Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges. IEEE Signal Process. Mag. 31 (2) (2014)
Colin Raffel, Brian McFee, Eric J. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, Daniel P. W. Ellis
MIR_EVAL: A Transparent Implementation of Common MIR Metrics. ISMIR (2014)
Matt McVicar, Daniel P. W. Ellis, Masataka Goto
Leveraging repetition for improved automatic lyric transcription in popular music. ICASSP (2014)
Hélène Papadopoulos, Daniel P. W. Ellis
Music-Content-Adaptive Robust Principal Component Analysis for a Semantically Consistent Separation of Foreground and Background in Music Audio Signals. DAFx (2014)
Dawen Liang, Daniel P. W. Ellis, Matthew D. Hoffman, Gautham J. Mysore
Speech decoloration based on the product-of-filters model. ICASSP (2014)
Daniel P. W. Ellis, Hiroyuki Satoh, Zhuo Chen
Detecting proximity from personal audio recordings. INTERSPEECH (2014)
Zhuo Chen, Hélène Papadopoulos, Daniel P. W. Ellis
Content-adaptive speech enhancement by a sparsely-activated dictionary plus low rank decomposition. HSCMA (2014)
Brian McFee, Daniel P. W. Ellis
Better beat tracking through robust onset aggregation. ICASSP (2014)
Brian McFee, Daniel P. W. Ellis
Learning to segment songs with ordinal linear discriminant analysis. ICASSP (2014)
Colin Raffel, Daniel P. W. Ellis
Estimating timing and channel distortion across related signals. ICASSP (2014)
Daniel J. Gillespie, Daniel P. W. Ellis
Modeling nonlinear circuits with linearized dynamical models via kernel regression. WASPAA (2013)
Diego Furtado Silva, Hélène Papadopoulos, Gustavo Enrique De Almeida Prado Alves Batista, Daniel P. W. Ellis
A Video Compression-Based Approach to Measure Music Structural Similarity. ISMIR (2013)
Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis
Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. ICMLA (1) (2013)
Dawen Liang, Matthew D. Hoffman, Daniel P. W. Ellis
Beta Process Sparse Nonnegative Matrix Factorization for Music. ISMIR (2013)
Zhuo Chen, Daniel P. W. Ellis
Speech enhancement by sparse, low-rank, and dictionary spectrogram decomposition. WASPAA (2013)
Courtenay V. Cotton, Daniel P. W. Ellis
Subband autocorrelation features for video soundtrack classification. ICASSP (2013)
Thierry Bertin-Mahieux, Daniel P. W. Ellis
Large-Scale Cover Song Recognition Using the 2D Fourier Transform Magnitude. ISMIR (2012)
Josh H. McDermott, Daniel P. W. Ellis, Hideki Kawahara
Inharmonic speech: a tool for the study of speech perception and separation. SAPA@INTERSPEECH (2012)
Brian McFee, Thierry Bertin-Mahieux, Daniel P. W. Ellis, Gert R. G. Lanckriet
The million song dataset challenge. WWW (Companion Volume) (2012)
Kai Su, Mor Naaman, Avadhut Gurjar, Mohsin Patel, Daniel P. W. Ellis
Making a scene: alignment of complete sets of clips based on pairwise audio match. ICMR (2012)
Gerald Friedland, Daniel P. W. Ellis, Florian Metze
AMVA'12: ACM international workshop on audio and multimedia methods for large-scale video analysis. ACM Multimedia (2012)
Byung Suk Lee, Daniel P. W. Ellis
Noise Robust Pitch Tracking by Subband Autocorrelation Classification. INTERSPEECH (2012)
Jón Guðnason, Mark R. P. Thomas, Daniel P. W. Ellis, Patrick A. Naylor
Data-driven voice source waveform analysis and synthesis. Speech Commun. 54 (2) (2012)
Thierry Bertin-Mahieux, Daniel P. W. Ellis
Large-scale cover song recognition using hashed chroma landmarks. WASPAA (2011)
Yu-Gang Jiang, Guangnan Ye, Shih-Fu Chang, Daniel P. W. Ellis, Alexander C. Loui
Consumer video understanding: a benchmark database and an evaluation of human and machine performance. ICMR (2011)
Courtenay V. Cotton, Daniel P. W. Ellis, Alexander C. Loui
Soundtrack classification by transient events. ICASSP (2011)
Daniel P. W. Ellis, Xiaohong Zeng, Josh H. McDermott
Classifying soundtracks with audio texture features. ICASSP (2011)
Fadi Biadsy, Julia Hirschberg, Daniel P. W. Ellis
Dialect and Accent Recognition Using Phonetic-Segmentation Supervectors. INTERSPEECH (2011)
Courtenay V. Cotton, Daniel P. W. Ellis
Spectral vs. spectro-temporal features for acoustic event detection. WASPAA (2011)
Graham Grindlay, Daniel P. W. Ellis
Transcribing Multi-Instrument Polyphonic Music With Hierarchical Eigeninstruments. IEEE J. Sel. Top. Signal Process. 5 (6) (2011)
Meinard Müller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard, Shigeki Sagayama
Introduction to the Special Issue on Music Signal Processing. IEEE J. Sel. Top. Signal Process. 5 (6) (2011)
Ron J. Weiss, Michael I. Mandel, Daniel P. W. Ellis
Combining localization cues and source model constraints for binaural source separation. Speech Commun. 53 (5) (2011)
Thierry Bertin-Mahieux, Daniel P. W. Ellis, Brian Whitman, Paul Lamere
The Million Song Dataset. ISMIR (2011)
Meinard Müller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard
Signal Processing for Music Analysis. IEEE J. Sel. Top. Signal Process. 5 (6) (2011)
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. Weiss, Daniel P. W. Ellis
Evaluating music sequence models through missing data. ICASSP (2011)
Graham Grindlay, Daniel P. W. Ellis
A Probabilistic Subspace Model for Multi-instrument Polyphonic Transcription. ISMIR (2010)
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui
Detecting local semantic concepts in environmental sounds using Markov model based clustering. ICASSP (2010)
Suman V. Ravuri, Daniel P. W. Ellis
Cover song detection: From high scores to general classification. ICASSP (2010)
Michael I. Mandel, Scott Bressler, Barbara G. Shinn-Cunningham, Daniel P. W. Ellis
Evaluating Source Separation Algorithms With Reverberant Speech. IEEE Trans. Speech Audio Process. 18 (7) (2010)
Ron J. Weiss, Daniel P. W. Ellis
Speech separation using speaker-adapted eigenvoice speech models. Comput. Speech Lang. 24 (1) (2010)
Thierry Bertin-Mahieux, Ron J. Weiss, Daniel P. W. Ellis
Clustering Beat-Chroma Patterns in a Large Music Database. ISMIR (2010)
Michael I. Mandel, Ron J. Weiss, Daniel P. W. Ellis
Model-Based Expectation-Maximization Source Separation and Localization. IEEE Trans. Speech Audio Process. 18 (2) (2010)
Keansub Lee, Daniel P. W. Ellis
Audio-Based Semantic Concept Classification for Consumer Video. IEEE Trans. Speech Audio Process. 18 (6) (2010)
Courtenay V. Cotton, Daniel P. W. Ellis
Audio fingerprinting to identify multiple videos of an event. ICASSP (2010)
Adrian Weller, Daniel P. W. Ellis, Tony Jebara
Structured Prediction Models for Chord Transcription of Music Audio. ICMLA (2009)
Christine Smit, Daniel P. W. Ellis
Guided harmonic sinusoid estimation in a multi-pitch environment. WASPAA (2009)
Jón Guðnason, Mark R. P. Thomas, Patrick A. Naylor, Daniel P. W. Ellis
Voice source waveform analysis and synthesis using principal component analysis and Gaussian mixture modelling. INTERSPEECH (2009)
Johanna Devaney, Michael I. Mandel, Daniel P. W. Ellis
Improving MIDI-audio alignment with acoustic features. WASPAA (2009)
Michael I. Mandel, Daniel P. W. Ellis
The Ideal Interaural Parameter Mask: A bound on binaural separation systems. WASPAA (2009)
Courtenay V. Cotton, Daniel P. W. Ellis
Finding similar acoustic events using matching pursuit and locality-sensitive hashing. WASPAA (2009)
Graham Grindlay, Daniel P. W. Ellis
Multi-voice polyphonic music transcription using eigeninstruments. WASPAA (2009)
Ron J. Weiss, Daniel P. W. Ellis
A variational EM algorithm for learning eigenvoice parameters in mixed signals. ICASSP (2009)
Jesper Bünsow Boldt, Daniel P. W. Ellis
A simple correlation-based model of intelligibility for nonlinear speech enhancement and separation. EUSIPCO (2009)
Jesper Højvang Jensen, Mads Græsbøll Christensen, Daniel P. W. Ellis, Søren Holdt Jensen
Quantitative Analysis of a Common Audio Similarity Measure. IEEE Trans. Speech Audio Process. 17 (4) (2009)
Johanna Devaney, Daniel P. W. Ellis
Handling Asynchrony in Audio-Score Alignment. ICMC (2009)
Keansub Lee, Daniel P. W. Ellis
Detecting music in ambient audio by long-window autocorrelation. ICASSP (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel P. W. Ellis