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Simon Dixon
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- affiliation: Queen Mary University of London, UK
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2020 – today
- 2024
- [j25]Drew Edwards
, Simon Dixon
, Emmanouil Benetos
, Akira Maezawa
, Yuta Kusaka
:
A Data-Driven Analysis of Robust Automatic Piano Transcription. IEEE Signal Process. Lett. 31: 681-685 (2024) - [j24]Meinard Müller
, Simon Dixon
, Anja Volk
, Bob L. T. Sturm
, Preeti Rao
, Mark Gotham
:
Introducing the TISMIR Education Track: What, Why, How? Trans. Int. Soc. Music. Inf. Retr. 7(1): 85-98 (2024) - [c128]Yin-Jyun Luo, Sebastian Ewert, Simon Dixon:
Unsupervised Pitch-Timbre Disentanglement of Musical Instruments Using a Jacobian Disentangled Sequential Autoencoder. ICASSP 2024: 1036-1040 - [c127]Xavier Riley, Drew Edwards, Simon Dixon:
High Resolution Guitar Transcription Via Domain Adaptation. ICASSP 2024: 1051-1055 - [c126]Yin-Jyun Luo, Simon Dixon:
Posterior Variance-Parameterised Gaussian Dropout: Improving Disentangled Sequential Autoencoders for Zero-Shot Voice Conversion. ICASSP 2024: 11676-11680 - [i40]Drew Edwards, Simon Dixon, Emmanouil Benetos, Akira Maezawa, Yuta Kusaka:
A Data-Driven Analysis of Robust Automatic Piano Transcription. CoRR abs/2402.01424 (2024) - [i39]Yixiao Zhang
, Yukara Ikemiya, Gus Xia, Naoki Murata, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon:
MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models. CoRR abs/2402.06178 (2024) - [i38]Xavier Riley, Drew Edwards, Simon Dixon:
High Resolution Guitar Transcription via Domain Adaptation. CoRR abs/2402.15258 (2024) - [i37]Xavier Riley, Simon Dixon:
Reconstructing the Charlie Parker Omnibook using an audio-to-score automatic transcription pipeline. CoRR abs/2405.16687 (2024) - [i36]Yixiao Zhang, Yukara Ikemiya, Woosung Choi, Naoki Murata, Marco A. Martínez Ramírez, Liwei Lin, Gus Xia, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon:
Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning. CoRR abs/2405.18386 (2024) - 2023
- [j23]Drew Edwards
, Simon Dixon
, Emmanouil Benetos
:
PiJAMA: Piano Jazz with Automatic MIDI Annotations. Trans. Int. Soc. Music. Inf. Retr. 6(1): 89-102 (2023) - [c125]Huan Zhang, Simon Dixon:
Disentangling the Horowitz Factor: Learning Content and Style From Expressive Piano Performance. ICASSP 2023: 1-5 - [c124]Xavier Riley, Simon Dixon:
FiloBass: A Dataset and Corpus Based Study of Jazz Basslines. ISMIR 2023: 500-507 - [c123]Carey Bunks, Tillman Weyde, Simon Dixon, Bruno Di Giorgi:
Modeling Harmonic Similarity for Jazz Using Co-occurrence Vectors and the Membrane Area. ISMIR 2023: 757-764 - [c122]Huan Zhang, Emmanouil Karystinaios, Simon Dixon, Gerhard Widmer, Carlos Eduardo Cancino Chacón:
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation. ISMIR 2023: 848-858 - [c121]Ivan Shanin, Simon Dixon:
Annotating Jazz Recordings Using Lead Sheet Alignment with Deep Chroma Features. WASPAA 2023: 1-5 - [e3]Augusto Sarti, Fabio Antonacci, Mark Sandler, Paolo Bestagini, Simon Dixon, Beici Liang, Gaël Richard, Johan Pauwels:
Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023. 2023, ISBN 978-1-7327299-3-3 [contents] - [i35]Brendan O'Connor, Simon Dixon:
A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion. CoRR abs/2302.13678 (2023) - [i34]Huan Zhang, Emmanouil Karystinaios, Simon Dixon, Gerhard Widmer, Carlos Eduardo Cancino Chacón:
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation. CoRR abs/2309.02567 (2023) - [i33]Yixiao Zhang
, Akira Maezawa, Gus Xia, Kazuhiko Yamamoto, Simon Dixon:
Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing. CoRR abs/2310.12404 (2023) - [i32]Xavier Riley, Simon Dixon:
FiloBass: A Dataset and Corpus Based Study of Jazz Basslines. CoRR abs/2311.02023 (2023) - [i31]Xavier Riley, Simon Dixon:
CREPE Notes: A new method for segmenting pitch contours into discrete notes. CoRR abs/2311.08884 (2023) - 2022
- [j22]Ruchit Agrawal
, Daniel Wolff, Simon Dixon
:
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization. IEEE Signal Process. Lett. 29: 344-348 (2022) - [j21]Polina Proutskova, Daniel Wolff
, György Fazekas, Klaus Frieler
, Frank Höger, Olga Velichkina, Gabriel Solis, Tillman Weyde
, Martin Pfleiderer, Hélène Camille Crayencour, Geoffroy Peeters, Simon Dixon
:
The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. J. Web Semant. 74: 100735 (2022) - [c120]Yin-Jyun Luo, Sebastian Ewert, Simon Dixon:
Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio. IJCAI 2022: 3299-3305 - [c119]Yixiao Zhang, Junyan Jiang, Gus Xia, Simon Dixon:
Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model. ISMIR 2022: 19-26 - [c118]Huan Zhang, Jingjing Tang, Syed Rm Rafee, Simon Dixon, George Fazekas, Geraint A. Wiggins:
ATEPP: A Dataset of Automatically Transcribed Expressive Piano Performance. ISMIR 2022: 446-453 - [i30]Ruchit Agrawal, Daniel Wolff, Simon Dixon:
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization. CoRR abs/2204.08822 (2022) - [i29]Yin-Jyun Luo, Sebastian Ewert, Simon Dixon:
Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio. CoRR abs/2205.05871 (2022) - [i28]Yixiao Zhang, Junyan Jiang, Gus Xia, Simon Dixon:
Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model. CoRR abs/2208.11671 (2022) - 2021
- [j20]Carlos Lordelo
, Emmanouil Benetos
, Simon Dixon
, Sven Ahlbäck
, Patrik Ohlsson
:
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation. IEEE Signal Process. Lett. 28: 81-85 (2021) - [c117]Emir Demirel, Sven Ahlbäck, Simon Dixon:
Computational Pronunciation Analysis in Sung Utterances. EUSIPCO 2021: 186-190 - [c116]Ruchit Agrawal, Daniel Wolff, Simon Dixon:
Structure-Aware Audio-to-Score Alignment Using Progressively Dilated Convolutional Neural Networks. ICASSP 2021: 571-575 - [c115]Emir Demirel, Sven Ahlbäck, Simon Dixon:
Low Resource Audio-To-Lyrics Alignment from Polyphonic Music Recordings. ICASSP 2021: 586-590 - [c114]Emir Demirel, Sven Ahlbäck, Simon Dixon:
MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription. ISMIR 2021: 151-158 - [c113]Dave Foster, Simon Dixon:
Filosax: A Dataset of Annotated Jazz Saxophone Recordings. ISMIR 2021: 205-212 - [c112]Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck:
Pitch-Informed Instrument Assignment using a Deep Convolutional Network with Multiple Kernel Shapes. ISMIR 2021: 389-395 - [c111]Ken O'Hanlon, Emmanouil Benetos
, Simon Dixon:
Detecting Cover Songs with Pitch Class Key-Invariant Networks. MLSP 2021: 1-6 - [c110]Yixiao Zhang, Gus Xia, Mark Levy, Simon Dixon:
COSMIC: A Conversational Interface for Human-AI Music Co-Creation. NIME 2021 - [i27]Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck, Patrik Ohlsson:
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation. CoRR abs/2101.00701 (2021) - [i26]Ruchit Agrawal, Daniel Wolff, Simon Dixon:
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks. CoRR abs/2102.00382 (2021) - [i25]Emir Demirel, Sven Ahlbäck, Simon Dixon:
Low Resource Audio-to-Lyrics Alignment From Polyphonic Music Recordings. CoRR abs/2102.09202 (2021) - [i24]Emir Demirel, Sven Ahlbäck, Simon Dixon:
Computational Pronunciation Analysis in Sung Utterances. CoRR abs/2106.10977 (2021) - [i23]Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck:
Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes. CoRR abs/2107.13617 (2021) - [i22]Emir Demirel, Sven Ahlbäck, Simon Dixon:
MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription. CoRR abs/2108.02625 (2021) - [i21]Brendan D. O'Connor, Simon Dixon, George Fazekas:
An Exploratory Study on Perceptual Spaces of the Singing Voice. CoRR abs/2111.08196 (2021) - [i20]Brendan D. O'Connor, Simon Dixon, George Fazekas:
Zero-shot Singing Technique Conversion. CoRR abs/2111.08839 (2021) - 2020
- [c109]Ruchit Agrawal, Simon Dixon:
Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment. EUSIPCO 2020: 141-145 - [c108]Daniel Stoller, Sebastian Ewert, Simon Dixon:
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators. ICLR 2020 - [c107]Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon:
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. IJCAI 2020: 2893-2900 - [c106]Emir Demirel, Sven Ahlbäck, Simon Dixon:
Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention. IJCNN 2020: 1-8 - [c105]Saumitra Mishra, Emmanouil Benetos
, Bob L. Sturm, Simon Dixon:
Reliable Local Explanations for Machine Listening. IJCNN 2020: 1-8 - [i19]Saumitra Mishra, Emmanouil Benetos, Bob L. Sturm, Simon Dixon:
Reliable Local Explanations for Machine Listening. CoRR abs/2005.07788 (2020) - [i18]Emir Demirel, Sven Ahlbäck, Simon Dixon:
Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention. CoRR abs/2007.06486 (2020) - [i17]Ruchit Agrawal, Simon Dixon:
A Hybrid Approach to Audio-to-Score Alignment. CoRR abs/2007.14333 (2020) - [i16]Ruchit Agrawal, Simon Dixon:
Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment. CoRR abs/2011.07546 (2020)
2010 – 2019
- 2019
- [j19]Emmanouil Benetos
, Simon Dixon
, Zhiyao Duan
, Sebastian Ewert
:
Automatic Music Transcription: An Overview. IEEE Signal Process. Mag. 36(1): 20-30 (2019) - [j18]Francisco Rodríguez-Algarra
, Bob L. Sturm, Simon Dixon:
Characterising Confounding Effects in Music Classification Experiments through Interventions. Trans. Int. Soc. Music. Inf. Retr. 2(1): 52-66 (2019) - [c104]Klaus Frieler, Dogac Basaran, Frank Höger, Hélène Camille Crayencour, Geoffroy Peeters, Simon Dixon:
Don't hide in the frames: Note- and pattern-based evaluation of automated melody extraction algorithms. DLfM 2019: 25-32 - [c103]Jiajie Dai, Simon Dixon:
Understanding Intonation Trajectories and Patterns of Vocal Notes. MMM (2) 2019: 243-253 - [c102]Carlos Lordelo, Emmanouil Benetos
, Simon Dixon, Sven Ahlbäck:
Investigating Kernel Shapes and Skip Connections for Deep Learning-Based Harmonic-Percussive Separation. WASPAA 2019: 40-44 - [i15]Saumitra Mishra, Daniel Stoller, Emmanouil Benetos, Bob L. Sturm, Simon Dixon:
GAN-based Generation and Automatic Selection of Explanations for Neural Networks. CoRR abs/1904.09533 (2019) - [i14]Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck:
Investigating kernel shapes and skip connections for deep learning-based harmonic-percussive separation. CoRR abs/1905.01899 (2019) - [i13]Daniel Stoller
, Sebastian Ewert, Simon Dixon:
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators. CoRR abs/1905.12660 (2019) - [i12]Daniel Stoller
, Mi Tian, Sebastian Ewert, Simon Dixon:
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. CoRR abs/1911.06393 (2019) - 2018
- [j17]Simon Dixon
, Emilia Gómez
, Anja Volk:
Editorial: Introducing the Transactions of the International Society for Music Information Retrieval. Trans. Int. Soc. Music. Inf. Retr. 1(1): 1-3 (2018) - [c101]Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii
:
Probabilistic Sequential Patterns for Singing Transcription. APSIPA 2018: 1905-1912 - [c100]Saumitra Mishra, Bob L. Sturm, Simon Dixon:
"What are You Listening to?" Explaining Predictions of Deep Machine Listening Systems. EUSIPCO 2018: 2260-2264 - [c99]Daniel Stoller
, Sebastian Ewert
, Simon Dixon
:
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach. LVA/ICA 2018: 329-339 - [c98]Eita Nakamura, Emmanouil Benetos
, Kazuyoshi Yoshii
, Simon Dixon:
Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization. ICASSP 2018: 101-105 - [c97]Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler
:
Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders. ICASSP 2018: 356-360 - [c96]Daniel Stoller
, Sebastian Ewert, Simon Dixon:
Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction. ICASSP 2018: 2391-2395 - [c95]Daniel Stoller, Sebastian Ewert, Simon Dixon:
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. ISMIR 2018: 334-340 - [c94]Saumitra Mishra, Bob L. Sturm, Simon Dixon:
Understanding a Deep Machine Listening Model Through Feature Inversion. ISMIR 2018: 755-762 - [c93]Klaus Frieler, Frank Höger, Martin Pfleiderer, Simon Dixon:
Two Web Applications for Exploring Melodic Patterns in Jazz Solos. ISMIR 2018: 777-783 - [c92]Daniel Stoller
, Vincent Akkermans, Simon Dixon:
Detection of Cut-Points for Automatic Music Rearrangement. MLSP 2018: 1-6 - [i11]Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler:
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders. CoRR abs/1802.05178 (2018) - [i10]Daniel Stoller, Sebastian Ewert, Simon Dixon:
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach. CoRR abs/1804.01650 (2018) - [i9]Daniel Stoller, Sebastian Ewert, Simon Dixon:
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. CoRR abs/1806.03185 (2018) - 2017
- [j16]Eita Nakamura, Kazuyoshi Yoshii
, Simon Dixon:
Note Value Recognition for Piano Transcription Using Markov Random Fields. IEEE ACM Trans. Audio Speech Lang. Process. 25(9): 1846-1858 (2017) - [j15]Siying Wang, Sebastian Ewert
, Simon Dixon:
Identifying Missing and Extra Notes in Piano Recordings Using Score-Informed Dictionary Learning. IEEE ACM Trans. Audio Speech Lang. Process. 25(10): 1877-1889 (2017) - [j14]Bruno Di Giorgi
, Simon Dixon, Massimiliano Zanoni, Augusto Sarti
:
A Data-Driven Model of Tonal Chord Sequence Complexity. IEEE ACM Trans. Audio Speech Lang. Process. 25(11): 2237-2250 (2017) - [c91]Elio Quinton, Ken O'Hanlon, Simon Dixon, Mark B. Sandler
:
Tracking metrical structure changes with sparse-NMF. ICASSP 2017: 41-45 - [c90]Maria Panteli, Rachel M. Bittner, Juan Pablo Bello
, Simon Dixon:
Towards the characterization of singing styles in world music. ICASSP 2017: 636-640 - [c89]Zulfadhli Mohamad, Simon Dixon, Christopher Harte:
Pickup position and plucking point estimation on an electric guitar. ICASSP 2017: 651-655 - [c88]Shengchen Li, Simon Dixon, Mark D. Plumbley:
Clustering Expressive Timing with Regressed Polynomial Coefficients Demonstrated by a Model Selection Test. ISMIR 2017: 457-463 - [c87]Saumitra Mishra, Bob L. Sturm, Simon Dixon:
Local Interpretable Model-Agnostic Explanations for Music Content Analysis. ISMIR 2017: 537-543 - [c86]Jiajie Dai, Simon Dixon:
Analysis of Interactive Intonation in Unaccompanied SATB Ensembles. ISMIR 2017: 599-605 - [c85]Vytaute Kedyte, Maria Panteli, Tillman Weyde, Simon Dixon:
Geographical Origin Prediction of Folk Music Recordings from the United Kingdom. ISMIR 2017: 664-670 - [i8]Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon:
Note Value Recognition for Rhythm Transcription Using a Markov Random Field Model for Musical Scores and Performances of Piano Music. CoRR abs/1703.08144 (2017) - [i7]Daniel Stoller
, Sebastian Ewert, Simon Dixon:
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction. CoRR abs/1711.00048 (2017) - 2016
- [j13]Siddharth Sigtia, Emmanouil Benetos
, Simon Dixon:
An End-to-End Neural Network for Polyphonic Piano Music Transcription. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 927-939 (2016) - [j12]Siying Wang, Sebastian Ewert
, Simon Dixon:
Robust and Efficient Joint Alignment of Multiple Musical Performances. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2132-2145 (2016) - [c84]Elio Quinton, Mark B. Sandler
, Simon Dixon:
Estimation of the reliability of multiple rhythm features extraction from a single descriptor. ICASSP 2016: 256-260 - [c83]Daniel Stoller, Simon Dixon:
Analysis and Classification of Phonation Modes In Singing. ISMIR 2016: 80-86 - [c82]Jiajie Dai, Simon Dixon:
Analysis of Vocal Imitations of Pitch Trajectories. ISMIR 2016: 87-93 - [c81]Maria Panteli, Simon Dixon:
On the Evaluation of Rhythmic and Melodic Descriptors for Music Similarity. ISMIR 2016: 468-474 - [c80]Maria Panteli, Emmanouil Benetos, Simon Dixon:
Learning a Feature Space for Similarity in World Music. ISMIR 2016: 538-544 - [c79]Tian Cheng, Matthias Mauch, Emmanouil Benetos, Simon Dixon:
An Attack/Decay Model for Piano Transcription. ISMIR 2016: 584-590 - [i6]Siying Wang, Sebastian Ewert, Simon Dixon:
Robust Joint Alignment of Multiple Versions of a Piece of Music. CoRR abs/1604.08516 (2016) - 2015
- [j11]Peter Foster, Simon Dixon, Anssi Klapuri:
Identifying Cover Songs Using Information-Theoretic Measures of Similarity. IEEE ACM Trans. Audio Speech Lang. Process. 23(6): 993-1005 (2015) - [c78]Robert Tubb, Simon Dixon:
An Evaluation of Multidimensional Controllers for Sound Design Tasks. CHI 2015: 47-56 - [c77]Tian Cheng, Simon Dixon, Matthias Mauch:
Improving piano note tracking by HMM smoothing. EUSIPCO 2015: 2009-2013 - [c76]Siying Wang, Sebastian Ewert
, Simon Dixon:
Compensating for asynchronies between musical voices in score-performance alignment. ICASSP 2015: 589-593 - [c75]Tian Cheng, Simon Dixon, Matthias Mauch:
Modelling the decay of piano sounds. ICASSP 2015: 594-598 - [c74]Siddharth Sigtia, Emmanouil Benetos
, Nicolas Boulanger-Lewandowski, Tillman Weyde
, Artur S. d'Avila Garcez, Simon Dixon:
A hybrid recurrent neural network for music transcription. ICASSP 2015: 2061-2065 - [c73]Siddharth Sigtia, Nicolas Boulanger-Lewandowski, Simon Dixon:
Audio Chord Recognition with a Hybrid Recurrent Neural Network. ISMIR 2015: 127-133 - [c72]Jiajie Dai, Matthias Mauch, Simon Dixon:
Analysis of Intonation Trajectories in Solo Singing. ISMIR 2015: 420-426 - [c71]Julien Osmalskyj, Peter Foster, Simon Dixon, Jean-Jacques Embrechts:
Combining Features for Cover Song Identification. ISMIR 2015: 462-468 - [c70]Thomas Wilmering, Kevin R. Page
, György Fazekas, Simon Dixon, Sean Bechhofer
:
Automating Annotation of Media with Linked Data Workflows. WWW (Companion Volume) 2015: 737-738 - [i5]Siddharth Sigtia, Emmanouil Benetos, Simon Dixon:
An End-to-End Neural Network for Polyphonic Music Transcription. CoRR abs/1508.01774 (2015) - 2014
- [j10]Robert Tubb, Simon Dixon:
A Zoomable Mapping of a Musical Parameter Space Using Hilbert Curves. Comput. Music. J. 38(3): 23-33 (2014) - [j9]Peter Foster, Matthias Mauch, Simon Dixon:
Sequential complexity as a descriptor for musical similarity. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1965-1977 (2014) - [c69]Tian Cheng, Simon Dixon, Matthias Mauch:
A Comparison of Extended Source-Filter Models for Musical Signal Reconstruction. DAFx 2014: 203-209 - [c68]Matthias Mauch, Simon Dixon:
PYIN: A fundamental frequency estimator using probabilistic threshold distributions. ICASSP 2014: 659-663 - [c67]Holger Kirchhoff
, Roland Badeau, Simon Dixon:
Towards complex matrix decomposition of spectrograms based on the relative phase offsets of harmonic sounds. ICASSP 2014: 1572-1576 - [c66]Siddharth Sigtia, Simon Dixon:
Improved music feature learning with deep neural networks. ICASSP 2014: 6959-6963 - [c65]Robert Tubb, Simon Dixon:
A Four Strategy Model of Creative Parameter Space Interaction. ICCC 2014: 16-22 - [c64]Christof Weiß, Matthias Mauch, Simon Dixon:
Timbre-invariant Audio Features for Style Analysis of Classical Music. ICMC 2014 - [c63]Siddharth Sigtia, Emmanouil Benetos, Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon:
An RNN-based Music Language Model for Improving Automatic Music Transcription. ISMIR 2014: 53-58 - [c62]Siying Wang, Sebastian Ewert, Simon Dixon:
Robust Joint Alignment of Multiple Versions of a Piece of Music. ISMIR 2014: 83-88 - [c61]Lucas Thompson, Simon Dixon, Matthias Mauch:
Drum Transcription via Classification of Bar-Level Rhythmic Patterns. ISMIR 2014: 187-192 - [c60]Tillman Weyde
, Stephen Cottrell, Jason Dykes, Emmanouil Benetos
, Daniel Wolff
, Dan Tidhar, Alexander Kachkaev, Mark D. Plumbley
, Simon Dixon, Mathieu Barthet
, Nicolas Gold, Samer A. Abdallah, Aquiles Alancar-Brayner, Mahendra Mahey
, Adam Tovell:
Big Data for Musicology. DLfM@JCDL 2014: 1-3 - [c59]Robert Tubb, Simon Dixon:
The Divergent Interface: Supporting Creative Exploration of Parameter Spaces. NIME 2014: 227-232 - [i4]Peter Foster, Matthias Mauch, Simon Dixon:
Sequential Complexity as a Descriptor for Musical Similarity. CoRR abs/1402.6926 (2014) - [i3]Peter Foster, Simon Dixon, Anssi Klapuri:
Identifying Cover Songs Using Information-Theoretic Measures of Similarity. CoRR abs/1407.2433 (2014) - [i2]Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon:
A Hybrid Recurrent Neural Network For Music Transcription. CoRR abs/1411.1623 (2014) - 2013
- [j8]Emmanouil Benetos
, Simon Dixon, Dimitrios Giannoulis, Holger Kirchhoff
, Anssi Klapuri:
Automatic music transcription: challenges and future directions. J. Intell. Inf. Syst. 41(3): 407-434 (2013) - [c58]Alo Allik, György Fazekas, Simon Dixon, Mark B. Sandler
:
Facilitating Music Information Research with Shared Open Vocabularies. ESWC (Satellite Events) 2013: 178-183 - [c57]Alo Allik, György Fazekas, Simon Dixon, Mark B. Sandler
:
A Shared Vocabulary for Audio Features. ESWC (Satellite Events) 2013: 285-286 - [c56]Holger Kirchhoff
, Simon Dixon, Anssi Klapuri:
Missing template estimation for user-assisted music transcription. ICASSP 2013: 26-30 - [c55]Peter Foster, Simon Dixon, Anssi Klapuri:
Identification of cover songs using information theoretic measures of similarity. ICASSP 2013: 739-743 - [c54]Yading Song, Simon Dixon, Marcus T. Pearce, Andrea R. Halpern:
Do Online Social Tags Predict Perceived or Induced Emotional Responses to Music? ISMIR 2013: 89-94 - [c53]Tian Cheng, Simon Dixon, Matthias Mauch:
A Deterministic Annealing EM Algorithm for Automatic Music Transcription. ISMIR 2013: 475-480 - [p1]Magdalena Chudy
, Simon Dixon:
Recognising Cello Performers Using Timbre Models. Algorithms from and for Nature and Life 2013: 511-518 - [e2]Alceu de Souza Britto Jr., Fabien Gouyon, Simon Dixon:
Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013, Curitiba, Brazil, November 4-8, 2013. 2013, ISBN 978-0-615-90065-0 [contents] - 2012
- [j7]Emmanouil Benetos, Simon Dixon:
A Shift-Invariant Latent Variable Model for Automatic Music Transcription. Comput. Music. J. 36(4): 81-94 (2012) - [c52]Peter Foster, Anssi Klapuri, Simon Dixon:
A method for identifying repetition structure in musical audio based on time series prediction. EUSIPCO 2012: 1299-1303 - [c51]Emmanouil Benetos, Anssi Klapuri, Simon Dixon:
Score-informed transcription for automatic piano tutoring. EUSIPCO 2012: 2153-2157 - [c50]Andreas Arzt, Gerhard Widmer, Simon Dixon:
Adaptive distance normalization for real-time music tracking. EUSIPCO 2012: 2689-2693 - [c49]Emmanouil Benetos
, Simon Dixon:
Temporally-Constrained Convolutive Probabilistic Latent Component Analysis for Multi-pitch Detection. LVA/ICA 2012: 364-371 - [c48]Holger Kirchhoff
, Simon Dixon, Anssi Klapuri:
Shift-variant non-negative matrix deconvolution for music transcription. ICASSP 2012: 125-128 - [c47]Matthias Mauch, Simon Dixon:
A Corpus-based Study of Rhythm Patterns. ISMIR 2012: 163-168 - [c46]Robert Macrae, Simon Dixon:
Ranking Lyrics for Online Search. ISMIR 2012: 361-366 - [c45]Emmanouil Benetos, Simon Dixon, Dimitrios Giannoulis, Holger Kirchhoff, Anssi Klapuri:
Automatic Music Transcription: Breaking the Glass Ceiling. ISMIR 2012: 379-384 - [c44]Holger Kirchhoff, Simon Dixon, Anssi Klapuri:
Multi-Template Shift-Variant Non-Negative Matrix Deconvolution for Semi-Automatic Music Transcription. ISMIR 2012: 415-420 - [c43]Michael Terrell, György Fazekas, Andrew Simpson, Jordan B. L. Smith, Simon Dixon:
Listening Level Changes Music Similarity. ISMIR 2012: 487-492 - [c42]Yading Song, Simon Dixon, Marcus T. Pearce:
Evaluation of Musical Features for Emotion Classification. ISMIR 2012: 523-528 - 2011
- [j6]Emmanouil Benetos
, Simon Dixon:
Joint Multi-Pitch Detection Using Harmonic Envelope Estimation for Polyphonic Music Transcription. IEEE J. Sel. Top. Signal Process. 5(6): 1111-1123 (2011) - [c41]Emmanouil Benetos
, Simon Dixon:
Polyphonic music transcription using note onset and offset detection. ICASSP 2011: 37-40 - [c40]Robert Macrae, Joachim Neumann, Xavier Anguera
, Nuria Oliver
, Simon Dixon:
Real-time synchronisation of multimedia streams in a mobile device. ICME 2011: 1-6 - [c39]Simon Dixon, Dan Tidhar, Emmanouil Benetos:
The Temperament Police: The Truth, the Ground Truth, and Nothing but the Truth. ISMIR 2011: 281-286 - [c38]Dan Stowell, Simon Dixon:
MIR in School? Lessons from Ethnographic Observation of Secondary School Music Classes. ISMIR 2011: 347-352 - [c37]Mathieu Barthet, Simon Dixon:
Ethnographic Observations of Musicologists at the British Library: Implications for Music Information Retrieval. ISMIR 2011: 353-358 - [c36]Robert Macrae, Simon Dixon:
Guitar Tab Mining, Analysis and Ranking. ISMIR 2011: 453-458 - [c35]Emmanouil Benetos
, Simon Dixon:
A temporally-constrained convolutive probabilistic model for pitch detection. WASPAA 2011: 133-136 - [i1]Meinard Müller, Masataka Goto, Simon Dixon:
Multimodal Music Processing (Dagstuhl Seminar 11041). Dagstuhl Reports 1(1): 68-101 (2011) - 2010
- [j5]Matthias Mauch, Simon Dixon:
Simultaneous Estimation of Chords and Musical Context From Audio. IEEE Trans. Speech Audio Process. 18(6): 1280-1289 (2010) - [c34]Simon Dixon, Matthias Mauch, Amelie Anglade:
Probabilistic and Logic-Based Modelling of Harmony. CMMR 2010: 1-19 - [c33]Dan Tidhar, Matthias Mauch, Simon Dixon:
High precision frequency estimation for harpsichord tuning classification. ICASSP 2010: 61-64 - [c32]Robert Macrae, Simon Dixon:
A guitar tablature score follower. ICME 2010: 725-726 - [c31]Emmanouil Benetos, Simon Dixon:
Multiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolution. SAPA@INTERSPEECH 2010: 13-18 - [c30]Matthias Mauch, Simon Dixon:
Approximate Note Transcription for the Improved Identification of Difficult Chords. ISMIR 2010: 135-140 - [c29]Robert Macrae, Simon Dixon:
Accurate Real-time Windowed Time Warping. ISMIR 2010: 423-428
2000 – 2009
- 2009
- [c28]Matthias Mauch, Katy C. Noland, Simon Dixon:
Using Musical Structure to Enhance Automatic Chord Transcription. ISMIR 2009: 231-236 - [c27]Amelie Anglade, Rafael Ramírez, Simon Dixon:
Genre Classification Using Harmony Rules Induced from Automatic Chord Transcriptions. ISMIR 2009: 669-674 - 2008
- [c26]Andreas Arzt, Gerhard Widmer
, Simon Dixon:
Automatic Page Turning for Musicians via Real-Time Machine Listening. ECAI 2008: 241-245 - [c25]Matthias Mauch, Simon Dixon:
A Discrete Mixture Model for Chord Labelling. ISMIR 2008: 45-50 - [c24]Amelie Anglade, Simon Dixon:
Characterisation of Harmony With Inductive Logic Programming. ISMIR 2008: 63-68 - [c23]Robert Macrae, Simon Dixon:
From Toy to Tutor: Note-Scroller is a Game to Teach Music. NIME 2008: 364-365 - 2007
- [c22]Fabien Gouyon
, Simon Dixon, Gerhard Widmer
:
Evaluating Low-Level Features for Beat Classification and Tracking. ICASSP (4) 2007: 1309-1312 - [c21]Matthias Mauch, Simon Dixon, Christopher Harte, Michael A. Casey, Benjamin Fields:
Discovering Chord Idioms Through Beatles and Real Book Songs. ISMIR 2007: 255-258 - [e1]Simon Dixon, David Bainbridge, Rainer Typke:
Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007, Vienna, Austria, September 23-27, 2007. Austrian Computer Society 2007, ISBN 978-3-85403-218-2 [contents] - 2006
- [j4]Fabien Gouyon
, Anssi Klapuri, Simon Dixon, M. Alonso, George Tzanetakis
, C. Uhle, Pedro Cano:
An experimental comparison of audio tempo induction algorithms. IEEE Trans. Speech Audio Process. 14(5): 1832-1844 (2006) - [c20]Arthur Flexer, Fabien Gouyon, Simon Dixon, Gerhard Widmer:
Probabilistic Combination of Features for Music Classification. ISMIR 2006: 111-114 - 2005
- [j3]Fabien Gouyon
, Simon Dixon:
A Review of Automatic Rhythm Description Systems. Comput. Music. J. 29(1): 34-54 (2005) - [c19]Simon Dixon, Werner Goebl, Gerhard Widmer:
The "Air Worm": an Interface for Real-Time manipulation of Expressive Music Performance. ICMC 2005 - [c18]Gerhard Widmer, Simon Dixon, Arthur Flexer, Werner Goebl, Peter Knees, Søren Tjagvad Madsen, Elias Pampalk, Tim Pohle, Markus Schedl, Asmir Tobudic:
The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (öFAI), Vienna. ICMC 2005 - [c17]Simon Dixon:
An On-Line Time Warping Algorithm for Tracking Musical Performances. IJCAI 2005: 1727-1728 - [c16]Simon Dixon, Gerhard Widmer:
MATCH: A Music Alignment Tool Chest. ISMIR 2005: 492-497 - [r1]Simon Dixon:
Audio Analysis Applications for Music. Encyclopedia of Information Science and Technology (I) 2005: 188-196 - 2004
- [j2]Elias Pampalk, Simon Dixon, Gerhard Widmer
:
Exploring Music Collections by Browsing Different Views. Comput. Music. J. 28(2): 49-62 (2004) - [c15]Simon Dixon, Fabien Gouyon, Gerhard Widmer:
Towards Characterisation of Music via Rhythmic Patterns. ISMIR 2004 - [c14]Fabien Gouyon, Simon Dixon:
Dance music classification: A tempo-based approach. ISMIR 2004 - 2003
- [j1]Gerhard Widmer, Simon Dixon, Werner Goebl, Elias Pampalk, Asmir Tobudic:
In Search of the Horowitz Factor. AI Mag. 24(3): 111-130 (2003) - [c13]Simon Dixon, Elias Pampalk, Gerhard Widmer:
Classification of dance music by periodicity patterns. ISMIR 2003 - [c12]Elias Pampalk, Simon Dixon, Gerhard Widmer:
Exploring music collections by browsing different views. ISMIR 2003 - [c11]Simon Dixon:
Analysis of musical expression in audio signals. Storage and Retrieval for Media Databases 2003: 122-132 - 2002
- [c10]Simon Dixon, Werner Goebl, Gerhard Widmer:
Real Time Tracking and Visualisation of Musical Expression. ICMAI 2002: 58-68 - [c9]Simon Dixon, Werner Goebl, Gerhard Widmer:
The Performance Worm: Real Time Visualisation of Expression based on Langner's Tempo-Loudness Animation. ICMC 2002 - 2001
- [c8]Simon Dixon:
An Interactive Beat Tracking and Visualisation System. ICMC 2001 - 2000
- [c7]Simon Dixon, Emilios Cambouropoulos:
Beat Tracking with Musical Knowledge. ECAI 2000: 626-630 - [c6]Simon Dixon:
A Lightweight Multi-agent Musical Beat Tracking System. PRICAI 2000: 778-788
1990 – 1999
- 1997
- [c5]Simon Dixon:
Beat Induction and Rhythm Recognition. Australian Joint Conference on Artificial Intelligence 1997: 311-320 - 1996
- [c4]David M. W. Powers
, Simon E. Dixon, C. Richard Clark, Darren L. Weber:
Cocktails and brainwaves-experiments with complex and subliminal auditory stimuli. ANZIIS 1996: 68-71 - [c3]Simon Dixon:
A Dynamic Modelling Approach to Music Recognition. ICMC 1996 - 1993
- [c2]Simon Dixon, Wayne Wobcke:
The Implementation of a First-Order Logic AGM Belief Revision System. ICTAI 1993: 40-47 - [c1]Simon Dixon, Norman Y. Foo:
Connections Between the ATMS and AGM Belief Revision. IJCAI 1993: 534-539
Coauthor Index
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