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ORCIDDaniel P. W. Ellis
Dan Ellis – Daniel Patrick Whittlesey Ellis
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- affiliation: Columbia University, New York City, USA
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2020 – today
- 2022
[c145]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- [i17]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 abs/2208.12415 (2022) - [i16]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 abs/2210.07856 (2022) - 2021
- [c144]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: 186-190 - [c143]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: 366-370 - [c142]Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Dan Ellis, John R. Hershey:
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. ICLR 2021 - [c141]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: 251-255 - [e3]Frederic Font, Annamaria Mesaros
, Daniel P. W. Ellis, Eduardo Fonseca, Magdalena Fuentes, Benjamin Elizalde:
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), Online, November 15-19, 2021. 2021, ISBN 978-84-09-36072-7 [contents] - [i15]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 abs/2105.02132 (2021) - [i14]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 abs/2105.07031 (2021) - 2020
- [j32]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: 1235-1239 (2020) - [c140]Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis:
Improving Universal Sound Separation Using Sound Classification. ICASSP 2020: 96-100 - [c139]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: 121-125 - [c138]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: 8364-8368 - [i13]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 abs/2005.00878 (2020) - [i12]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 abs/2011.00803 (2020) - [i11]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 abs/2011.01143 (2020)
2010 – 2019
- 2019
- [c137]Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra:
Audio Tagging with Noisy Labels and Minimal Supervision. DCASE 2019: 69-73 - [c136]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: 21-25 - [e2]Michael I. Mandel, Justin Salamon, Daniel P. W. Ellis:
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), New York University, NY, USA, October 2019. 2019, ISBN 978-0-578-59596-2 [contents] - [i10]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 abs/1901.01189 (2019) - [i9]Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra:
Audio tagging with noisy labels and minimal supervision. CoRR abs/1906.02975 (2019) - [i8]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 abs/1911.05894 (2019) - [i7]Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis:
Improving Universal Sound Separation Using Sound Classification. CoRR abs/1911.07951 (2019) - [i6]Ahmed Hussen Abdelaziz, Shuo-Yiin Chang, Nelson Morgan, Erik Edwards, Dorothea Kolossa, Dan Ellis, David A. Moses, Edward F. Chang:
On Neural Phone Recognition of Mixed-Source ECoG Signals. CoRR abs/1912.05869 (2019) - 2018
- [c135]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: 69-73 - [c134]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: 126-130 - [c133]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: 1239-1243 - [e1]Mark D. Plumbley, Christian Kroos, Juan Pablo Bello, Gaël Richard, Daniel P. W. Ellis, Annamaria Mesaros:
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2018, Surrey, UK, November 19-20, 2018. 2018, ISBN 978-952-15-4262-6 [contents] - [i5]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 abs/1807.09902 (2018) - [i4]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 abs/1808.00606 (2018) - 2017
- [c132]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: 131-135 - [c131]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: 776-780 - [c130]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: 786-790 - [i3]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 abs/1711.02209 (2017) - 2016
- [c129]Colin Raffel, Daniel P. W. Ellis:
Optimizing DTW-based audio-to-MIDI alignment and matching. ICASSP 2016: 81-85 - [c128]Colin Raffel, Daniel P. W. Ellis:
Pruning subsequence search with attention-based embedding. ICASSP 2016: 554-558 - [c127]Colin Raffel, Daniel P. W. Ellis:
Extracting Ground-Truth Information from MIDI Files: A MIDIfesto. ISMIR 2016: 796-802 - [i2]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 abs/1609.09430 (2016) - 2015
- [j31]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): 313-330 (2015) - [c126]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: 5635-5639 - [c125]Colin Raffel, Daniel P. W. Ellis:
Large-Scale Content-Based Matching of MIDI and Audio Files. ISMIR 2015: 234-240 - [c124]Dawen Liang, Minshu Zhan, Daniel P. W. Ellis:
Content-Aware Collaborative Music Recommendation Using Pre-trained Neural Networks. ISMIR 2015: 295-301 - [c123]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: 18-24 - [i1]Colin Raffel, Daniel P. W. Ellis:
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems. CoRR abs/1512.08756 (2015) - 2014
- [j30]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): 118-134 (2014) - [c122]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: 279-286 - [c121]Zhuo Chen, Hélène Papadopoulos, Daniel P. W. Ellis:
Content-adaptive speech enhancement by a sparsely-activated dictionary plus low rank decomposition. HSCMA 2014: 16-20 - [c120]Colin Raffel, Daniel P. W. Ellis:
Estimating timing and channel distortion across related signals. ICASSP 2014: 654-658 - [c119]Brian McFee, Daniel P. W. Ellis:
Better beat tracking through robust onset aggregation. ICASSP 2014: 2154-2158 - [c118]Dawen Liang, Daniel P. W. Ellis, Matthew D. Hoffman, Gautham J. Mysore:
Speech decoloration based on the product-of-filters model. ICASSP 2014: 2400-2404 - [c117]Matt McVicar, Daniel P. W. Ellis, Masataka Goto:
Leveraging repetition for improved automatic lyric transcription in popular music. ICASSP 2014: 3117-3121 - [c116]Brian McFee, Daniel P. W. Ellis:
Learning to segment songs with ordinal linear discriminant analysis. ICASSP 2014: 5197-5201 - [c115]Daniel P. W. Ellis, Hiroyuki Satoh, Zhuo Chen:
Detecting proximity from personal audio recordings. INTERSPEECH 2014: 2519-2523 - [c114]Zhuo Chen, Brian McFee, Daniel P. W. Ellis:
Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition. INTERSPEECH 2014: 2833-2837 - [c113]Dawen Liang, John W. Paisley, Dan Ellis:
Codebook-based Scalable Music Tagging with Poisson Matrix Factorization. ISMIR 2014: 167-172 - [c112]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: 367-372 - [c111]Brian McFee, Dan Ellis:
Analyzing Song Structure with Spectral Clustering. ISMIR 2014: 405-410 - 2013
- [c110]Courtenay V. Cotton, Daniel P. W. Ellis:
Subband autocorrelation features for video soundtrack classification. ICASSP 2013: 8663-8666 - [c109]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: 99-104 - [c108]Martin Graciarena, Abeer Alwan, Dan Ellis, Horacio Franco, Luciana Ferrer, John H. L. Hansen, Adam Janin, Byung Suk Lee, Yun Lei, Vikramjit Mitra, Nelson Morgan, Seyed Omid Sadjadi, T. J. Tsai, Nicolas Scheffer, Lee Ngee Tan, Benjamin Williams:
All for one: feature combination for highly channel-degraded speech activity detection. INTERSPEECH 2013: 709-713 - [c107]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: 95-100 - [c106]Dawen Liang, Matthew D. Hoffman, Daniel P. W. Ellis:
Beta Process Sparse Nonnegative Matrix Factorization for Music. ISMIR 2013: 375-380 - [c105]Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID 2013 - [c104]Zhuo Chen, Daniel P. W. Ellis:
Speech enhancement by sparse, low-rank, and dictionary spectrogram decomposition. WASPAA 2013: 1-4 - [c103]Daniel J. Gillespie, Daniel P. W. Ellis:
Modeling nonlinear circuits with linearized dynamical models via kernel regression. WASPAA 2013: 1-4 - 2012
- [j29]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): 199-211 (2012) - [c102]Josh H. McDermott, Daniel P. W. Ellis, Hideki Kawahara:
Inharmonic speech: a tool for the study of speech perception and separation. SAPA@INTERSPEECH 2012: 114-117 - [c101]Byung Suk Lee, Daniel P. W. Ellis:
Noise Robust Pitch Tracking by Subband Autocorrelation Classification. INTERSPEECH 2012: 707-710 - [c100]Thierry Bertin-Mahieux, Daniel P. W. Ellis:
Large-Scale Cover Song Recognition Using the 2D Fourier Transform Magnitude. ISMIR 2012: 241-246 - [c99]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: 26 - [c98]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: 1513-1514 - [c97]Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. TRECVID 2012 - [c96]Brian McFee, Thierry Bertin-Mahieux, Daniel P. W. Ellis, Gert R. G. Lanckriet:
The million song dataset challenge. WWW (Companion Volume) 2012: 909-916 - 2011
- [b2]Ben Gold, Nelson Morgan, Dan Ellis:
Speech and Audio Signal Processing - Processing and Perception of Speech and Music, Second Edition. Wiley 2011, ISBN 978-0-470-19536-9, pp. I-XXII, 1-661 - [j28]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): 1085-1087 (2011) - [j27]Meinard Müller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard:
Signal Processing for Music Analysis. IEEE J. Sel. Top. Signal Process. 5(6): 1088-1110 (2011) - [j26]Graham Grindlay, Daniel P. W. Ellis:
Transcribing Multi-Instrument Polyphonic Music With Hierarchical Eigeninstruments. IEEE J. Sel. Top. Signal Process. 5(6): 1159-1169 (2011) - [j25]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): 606-621 (2011) - [c95]Thierry Bertin-Mahieux, Graham Grindlay, Ron J. Weiss, Daniel P. W. Ellis:
Evaluating music sequence models through missing data. ICASSP 2011: 177-180 - [c94]Christos Vezyrtzis, Aaron E. Klein, Dan Ellis, Yannis P. Tsividis:
Direct processing of mpeg audio using companding and BFP techniques. ICASSP 2011: 361-364 - [c93]Courtenay V. Cotton, Daniel P. W. Ellis, Alexander C. Loui:
Soundtrack classification by transient events. ICASSP 2011: 473-476 - [c92]Daniel P. W. Ellis, Xiaohong Zeng, Josh H. McDermott:
Classifying soundtracks with audio texture features. ICASSP 2011: 5880-5883 - [c91]Fadi Biadsy, Julia Hirschberg, Daniel P. W. Ellis:
Dialect and Accent Recognition Using Phonetic-Segmentation Supervectors. INTERSPEECH 2011: 745-748 - [c90]Thierry Bertin-Mahieux, Daniel P. W. Ellis, Brian Whitman, Paul Lamere:
The Million Song Dataset. ISMIR 2011: 591-596 - [c89]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: 29 - [c88]Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Apostol Natsev, John R. Smith:
IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. TRECVID 2011 - [c87]Courtenay V. Cotton, Daniel P. W. Ellis:
Spectral vs. spectro-temporal features for acoustic event detection. WASPAA 2011: 69-72 - [c86]Thierry Bertin-Mahieux, Daniel P. W. Ellis:
Large-scale cover song recognition using hashed chroma landmarks. WASPAA 2011: 117-120 - [c85]Dan Ellis:
General chair's introduction. WASPAA 2011 - 2010
- [j24]Ron J. Weiss, Daniel P. W. Ellis:
Speech separation using speaker-adapted eigenvoice speech models. Comput. Speech Lang. 24(1): 16-29 (2010) - [j23]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): 382-394 (2010) - [j22]Keansub Lee, Daniel P. W. Ellis:
Audio-Based Semantic Concept Classification for Consumer Video. IEEE Trans. Speech Audio Process. 18(6): 1406-1416 (2010) - [j21]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): 1872-1883 (2010) - [j20]Wei Jiang, Courtenay V. Cotton, Shih-Fu Chang, Dan Ellis, Alexander C. Loui:
Audio-visual atoms for generic video concept classification. ACM Trans. Multim. Comput. Commun. Appl. 6(3): 14:1-14:19 (2010) - [c84]Suman V. Ravuri, Daniel P. W. Ellis:
Cover song detection: From high scores to general classification. ICASSP 2010: 65-68 - [c83]Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui:
Detecting local semantic concepts in environmental sounds using Markov model based clustering. ICASSP 2010: 2278-2281 - [c82]Courtenay V. Cotton, Daniel P. W. Ellis:
Audio fingerprinting to identify multiple videos of an event. ICASSP 2010: 2386-2389 - [c81]Graham Grindlay, Daniel P. W. Ellis:
A Probabilistic Subspace Model for Multi-instrument Polyphonic Transcription. ISMIR 2010: 21-26 - [c80]Thierry Bertin-Mahieux, Ron J. Weiss, Daniel P. W. Ellis:
Clustering Beat-Chroma Patterns in a Large Music Database. ISMIR 2010: 111-116 - [c79]Yu-Gang Jiang, Xiaohong Zeng, Guangnan Ye, Dan Ellis, Shih-Fu Chang, Subhabrata Bhattacharya, Mubarak Shah:
Columbia-UCF TRECVID2010 Multimedia Event Detection: Combining Multiple Modalities, Contextual Concepts, and Temporal Matching. TRECVID 2010
2000 – 2009
- 2009
- [j19]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): 693-703 (2009) - [c78]Jesper Bünsow Boldt, Daniel P. W. Ellis:
A simple correlation-based model of intelligibility for nonlinear speech enhancement and separation. EUSIPCO 2009: 1849-1853 - [c77]Ron J. Weiss, Daniel P. W. Ellis:
A variational EM algorithm for learning eigenvoice parameters in mixed signals. ICASSP 2009: 113-116 - [c76]Johanna Devaney, Daniel P. W. Ellis:
Handling Asynchrony in Audio-Score Alignment. ICMC 2009 - [c75]Douglas Eck, Dan Ellis, Philippe Hamel:
Workshop summary: Sparse methods for music audio. ICML 2009: 11 - [c74]Adrian Weller, Daniel P. W. Ellis, Tony Jebara:
Structured Prediction Models for Chord Transcription of Music Audio. ICMLA 2009: 590-595 - [c73]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: 108-111 - [c72]Wei Jiang, Courtenay V. Cotton, Shih-Fu Chang, Dan Ellis, Alexander C. Loui:
Short-term audio-visual atoms for generic video concept classification. ACM Multimedia 2009: 5-14 - [c71]Christine Smit, Daniel P. W. Ellis:
Guided harmonic sinusoid estimation in a multi-pitch environment. WASPAA 2009: 41-44 - [c70]Johanna Devaney, Michael I. Mandel, Daniel P. W. Ellis:
Improving MIDI-audio alignment with acoustic features. WASPAA 2009: 45-48 - [c69]Graham Grindlay, Daniel P. W. Ellis:
Multi-voice polyphonic music transcription using eigeninstruments. WASPAA 2009: 53-56 - [c68]Michael I. Mandel, Daniel P. W. Ellis:
The Ideal Interaural Parameter Mask: A bound on binaural separation systems. WASPAA 2009: 85-88 - [c67]Courtenay V. Cotton, Daniel P. W. Ellis:
Finding similar acoustic events using matching pursuit and locality-sensitive hashing. WASPAA 2009: 125-128 - 2008
- [j18]Thomas S. Huang, Charlie K. Dagli, Shyamsundar Rajaram, Edward Y. Chang, Michael I. Mandel, Graham E. Poliner, Daniel P. W. Ellis:
Active Learning for Interactive Multimedia Retrieval. Proc. IEEE 96(4): 648-667 (2008) - [c66]