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Simon E. 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) - [c129]Yin-Jyun Luo, Sebastian Ewert, Simon Dixon:
Unsupervised Pitch-Timbre Disentanglement of Musical Instruments Using a Jacobian Disentangled Sequential Autoencoder. ICASSP 2024: 1036-1040 - [c128]Xavier Riley, Drew Edwards, Simon Dixon:
High Resolution Guitar Transcription Via Domain Adaptation. ICASSP 2024: 1051-1055 - [c127]Yin-Jyun Luo, Simon Dixon:
Posterior Variance-Parameterised Gaussian Dropout: Improving Disentangled Sequential Autoencoders for Zero-Shot Voice Conversion. ICASSP 2024: 11676-11680 - [c126]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. IJCAI 2024: 7805-7813 - [i46]Drew Edwards, Simon Dixon, Emmanouil Benetos, Akira Maezawa, Yuta Kusaka:
A Data-Driven Analysis of Robust Automatic Piano Transcription. CoRR abs/2402.01424 (2024) - [i45]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) - [i44]Xavier Riley, Drew Edwards, Simon Dixon:
High Resolution Guitar Transcription via Domain Adaptation. CoRR abs/2402.15258 (2024) - [i43]Xavier Riley, Simon Dixon:
Reconstructing the Charlie Parker Omnibook using an audio-to-score automatic transcription pipeline. CoRR abs/2405.16687 (2024) - [i42]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) - [i41]Sungkyun Chang, Emmanouil Benetos, Holger Kirchhoff, Simon Dixon:
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation. CoRR abs/2407.04822 (2024) - [i40]Drew Edwards, Xavier Riley, Pedro Sarmento, Simon Dixon:
MIDI-to-Tab: Guitar Tablature Inference via Masked Language Modeling. CoRR abs/2408.05024 (2024) - [i39]Xavier Riley, Zixun Guo, Drew Edwards, Simon Dixon:
GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model. CoRR abs/2408.08653 (2024) - [i38]Yin-Jyun Luo, Kin Wai Cheuk, Woosung Choi, Toshimitsu Uesaka, Keisuke Toyama, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Wei-Hsiang Liao, Simon Dixon, Yuki Mitsufuji:
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation. CoRR abs/2408.10807 (2024) - [i37]Yinghao Ma, Anders Øland, Anton Ragni, Bleiz Macsen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elio Quinton, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang:
Foundation Models for Music: A Survey. CoRR abs/2408.14340 (2024) - [i36]Huan Zhang, Vincent K. M. Cheung, Hayato Nishioka, Simon Dixon, Shinichi Furuya:
LLaQo: Towards a Query-Based Coach in Expressive Music Performance Assessment. CoRR abs/2409.08795 (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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