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ORCID23rd ISMIR 2022: Bengaluru, India
- Preeti Rao, Hema A. Murthy, Ajay Srinivasamurthy, Rachel M. Bittner, Rafael Caro Repetto, Masataka Goto, Xavier Serra, Marius Miron:
Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022. 2022, ISBN 978-1-7327299-2-6
Papers
- Yixiao Zhang, Junyan Jiang, Gus Xia, Simon Dixon:
Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model. 19-26 - Tsung-Ping Chen, Li Su:
Toward postprocessing-free neural networks for joint beat and downbeat estimation. 27-35 - Matan Gover, Oded Zewi:
Music Translation: Generating Piano Arrangements in Different Playing Levels. 36-43 - Ian Simon, Josh Gardner, Curtis Hawthorne, Ethan Manilow, Jesse H. Engel:
Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions. 44-51 - Anup Singh, Kris Demuynck, Vipul Arora:
Attention-based audio embeddings for query-by-example. 52-58 - Otso Björklund:
SIATEC-C: Computationally efficient repeated pattern discovery in polyphonic music. 59-66 - Marcel A. Vélez Vásquez, John Ashley Burgoyne:
Tailed U-Net: Multi-Scale Music Representation Learning. 67-75 - Da-Yi Wu, Wen-Yi Hsiao, Fu-Rong Yang, Oscar Friedman, Warren Jackson, Scott Bruzenak, Yi-Wen Liu, Yi-Hsuan Yang:
DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation. 76-83 - Elio Quinton:
Equivariant self-supervision for musical tempo estimation. 84-92 - Yuqiang Li, Shengchen Li, George Fazekas:
How Music features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of CSMT Data Challenge 2020. 93-99 - Eunjin Choi, Yoonjin Chung, Seolhee Lee, JongIk Jeon, Taegyun Kwon, Juhan Nam:
YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations. 100-108 - Anil Venkatesh, Viren Sachdev:
Detecting Symmetries of All Cardinalities With Application to Musical 12-Tone Rows. 109-115 - Jaehun Kim, Cynthia C. S. Liem:
The power of deep without going deep? A study of HDPGMM music representation learning. 116-124 - Daiki Naruse, Tomoyuki Takahata, Yusuke Mukuta, Tatsuya Harada:
Pop Music Generation with Controllable Phrase Lengths. 125-131 - Yen-Tung Yeh, Yi-Hsuan Yang, Bo-Yu Chen:
Exploiting Pre-trained Feature Networks for Generative Adversarial Networks in Audio-domain Loop Generation. 132-140 - Daiyu Zhang, Ju-Chiang Wang, Katerina Kosta, Jordan B. L. Smith, Shicen Zhou:
Modeling the rhythm from lyrics for melody generation of pop songs. 141-148 - Simeon Rau, Frank Heyen, Stefan Wagner, Michael Sedlmair:
Visualization for AI-Assisted Composing. 151-159 - Ellie Abrams, Eva Muñoz Vidal, Claire Pelofi, Pablo Ripollés:
Retrieving musical information from neural data: how cognitive features enrich acoustic ones. 160-168 - Jingwei Zhao, Gus Xia, Ye Wang:
Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention. 169-177 - Seungyeon Rhyu, Sarah Kim, Kyogu Lee:
Sketching the Expression: Flexible Rendering of Expressive Piano Performance with Self-Supervised Learning. 178-185 - Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts. 186-192 - Yueh-Kao Wu, Ching-Yu Chiu, Yi-Hsuan Yang:
Jukedrummer: Conditional Beat-aware Audio-domain Drum Accompaniment Generation via Transformer VQ-VAE. 193-200 - Junyan Jiang, Daniel Chin, Yixiao Zhang, Gus Xia:
Learning Hierarchical Metrical Structure Beyond Measures. 201-209 - Francisco C. F. Almeida, Gilberto Bernardes, Christof Weiss:
Mid-level Harmonic Audio Features for Musical Style Classification. 210-217 - Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji:
Distortion Audio Effects: Learning How to Recover the Clean Signal. 218-225 - Antonio Ríos-Vila
, José M. Iñesta, Jorge Calvo-Zaragoza:
End-to-End Full-Page Optical Music Recognition for Mensural Notation. 226-232 - Bruno Di Giorgi, Mark Levy, Richard Sharp:
Mel Spectrogram Inversion with Stable Pitch. 233-239 - Xingjian Du, Huidong Liang, Yuan Wan, Yuheng Lin, Ke Chen, Bilei Zhu, Zejun Ma:
Latent feature augmentation for chorus detection. 240-247 - Li Yi, Haochen Hu, Jingwei Zhao, Gus Xia:
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System. 248-255 - Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann:
Supervised and Unsupervised Learning of Audio Representations for Music Understanding. 256-263 - Rishabh Dahale, Vaibhav Talwadker, Preeti Rao, Prateek Verma:
Generating Coherent Drum Accompaniment with Fills and Improvisations. 264-271 - Alia Morsi, Xavier Serra:
Bottlenecks and solutions for audio to score alignment research. 272-279 - Martin Clayton, Preeti Rao, Nithya Nadig Shikarpur, Sujoy Roychowdhury, Jin Li:
Raga Classification From Vocal Performances Using Multimodal Analysis . 283-290 - Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl:
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. 291-297 - Kongmeng Liew, Vipul Mishra, Yangyang Zhou, Elena V. Epure, Romain Hennequin, Shoko Wakamiya, Eiji Aramaki:
Network Analyses for Cross-Cultural Music Popularity. 298-305 - Polykarpos Polykarpidis, Dionysios Kalofonos, Dimitrios Balageorgos, Christina Anagnostopoulou:
Three related corpora in Middle Byzantine music notation and a preliminary comparative analysis. 306-313 - Dichucheng Li, Yulun Wu, Qinyu Li, Jiahao Zhao, Yi Yu, Fan Xia, Wei Li:
Playing Technique Detection by Fusing Note Onset Information in Guzheng Performance. 314-320 - Babak Nikzat, Rafael Caro Repetto:
KDC: an open corpus for computational research of dastg?hi music. 321-328 - Ke Nie:
Inaccurate Prediction or Genre Evolution? Rethinking Genre Classification. 329-336 - Thomas Nuttall, Genís Plaja-Roglans, Lara Pearson, Xavier Serra:
In Search of Sañc?ras: Tradition-informed Repeated Melodic Pattern Recognition in Carnatic Music. 337-344 - Zhaowen Wang, Mingjin Che, Yue Yang, Wenwu Meng, Qinyu Li, Fan Xia, Wei Li:
Automatic Chinese National Pentatonic Modes Recognition Using Convolutional Neural Network. 345-352 - David Gillman, Atalay Kutlay, Uday Goyat:
Teach Yourself Georgian Folk Songs Dataset: A Annotated Corpus Of Traditional Vocal Polyphony. 353-360 - Lucas Simões Maia, Martín Rocamora, Luiz W. P. Biscainho, Magdalena Fuentes:
Adapting meter tracking models to Latin American music. 361-368 - Kaustuv Kanti Ganguli, Sertan Sentürk, Carlos Guedes:
Critiquing Task- versus Goal-oriented Approaches: A Case for Makam Recognition. 369-376 - Charilaos Papaioannou, Ioannis Valiantzas, Theodore Giannakopoulos, Maximos Kaliakatsos-Papakostas, Alexandros Potamianos:
A Dataset for Greek Traditional and Folk Music: Lyra. 377-383 - Yuya Yamamoto, Juhan Nam, Hiroko Terasawa:
Analysis and detection of singing techniques in repertoires of J-POP solo singers. 384-391 - Lele Liu, Qiuqiang Kong, Veronica Morfi, Emmanouil Benetos:
Performance MIDI-to-score conversion by neural beat tracking. 395-402 - Sangjun Han, Hyeongrae Ihm, Moontae Lee, Woohyung Lim:
Symbolic Music Loop Generation with Neural Discrete Representations. 403-410 - Marco A. Martínez Ramírez, Wei-Hsiang Liao, Chihiro Nagashima, Giorgio Fabbro, Stefan Uhlich, Yuki Mitsufuji:
Automatic music mixing with deep learning and out-of-domain data. 411-418 - Mahshid Alinoori, Vassilios Tzerpos:
Music-STAR: a Style Translation system for Audio-based Re-instrumentation. 419-426 - Darius Afchar, Romain Hennequin, Vincent Guigue:
Learning Unsupervised Hierarchies of Audio Concepts. 427-436 - Massimo Quadrana, Antoine Larreche-Mouly, Matthias Mauch:
Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings. 437-445 - Huan Zhang, Jingjing Tang, Syed Rm Rafee, Simon Dixon, George Fazekas, Geraint A. Wiggins:
ATEPP: A Dataset of Automatically Transcribed Expressive Piano Performance. 446-453 - Chen Zhang, Jiaxing Yu, LuChin Chang, Xu Tan, Jiawei Chen, Tao Qin, Kejun Zhang:
PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription. 454-461 - Chitralekha Gupta, Yize Wei, Zequn Gong, Purnima Kamath, Zhuoyao Li, Lonce Wyse:
Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures. 462-468 - Igor Vatolkin, Cory McKay:
Stability of Symbolic Feature Group Importance in the Context of Multi-Modal Music Classification. 469-476 - Franca Bittner, Marcel Gonzalez, Maike L. Richter, Hanna M. Lukashevich, Jakob Abeßer:
Multi-pitch Estimation meets Microphone Mismatch: Applicability of Domain Adaptation. 477-484 - Chris Donahue, John Thickstun, Percy Liang:
Melody transcription via generative pre-training. 485-492 - Yigitcan Özer, Meinard Müller:
Source Separation of Piano Concertos with Test-Time Adaptation. 493-500 - Martha E. Thomae, Julie Cumming, Ichiro Fujinaga:
Counterpoint Error-Detection Tools for Optical Music Recognition of Renaissance Polyphonic Music. 501-508 - Louis Couturier, Louis Bigo, Florence Levé:
A Dataset of Symbolic Texture Annotations in Mozart Piano Sonatas. 509-516 - Nazif Can Tamer, Pedro Ramoneda, Xavier Serra:
Violin Etudes: A Comprehensive Dataset for f0 Estimation and Performance Analysis. 517-524 - Nikita Srivatsan, Taylor Berg-Kirkpatrick:
Checklist Models for Improved Output Fluency in Piano Fingering Prediction. 525-531 - Jaidev Shriram, Makarand Tapaswi, Vinoo Alluri:
Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations. 535-542 - Marco Pasini, Jan Schlüter:
Musika! Fast Infinite Waveform Music Generation. 543-550 - Jiafeng Liu, Yuanliang Dong, Zehua Cheng, Xinran Zhang, Xiaobing Li, Feng Yu, Maosong Sun:
Symphony Generation with Permutation Invariant Language Model. 551-558 - 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. 559-566 - Peiling Lu, Xu Tan, Botao Yu, Tao Qin, Sheng Zhao, Tie-Yan Liu:
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks. 567-574 - Chang-Bin Jeon, Kyogu Lee:
Towards robust music source separation on loud commercial music. 575-582 - Michael Zhou, Andrew Mcgraw, Douglas R. Turnbull:
Towards Quantifying the Strength of Music Scenes Using Live Event Data. 583-590 - Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour:
Learning Multi-Level Representations for Hierarchical Music Structure Analysis.. 591-597 - Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel:
Multi-instrument Music Synthesis with Spectrogram Diffusion. 598-607 - Franco Caspe, Andrew McPherson, Mark Sandler:
DDX7: Differentiable FM Synthesis of Musical Instrument Sounds. 608-616 - Mojtaba Heydari, Zhiyao Duan:
Singing beat tracking with Self-supervised front-end and linear transformers. 617-624 - Saurjya Sarkar, Emmanouil Benetos, Mark Sandler:
EnsembleSet: a new high quality synthesised dataset for chamber ensemble separation. 625-632 - Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii:
End-to-End Lyrics Transcription Informed by Pitch and Onset Estimation. 633-639 - Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas:
Contrastive Audio-Language Learning for Music. 640-649 - Dmitry Bogdanov, Xavier Lizarraga-Seijas, Pablo Alonso-Jiménez, Xavier Serra:
MusAV: A dataset of relative arousal-valence annotations for validation of audio models. 650-658 - Shuqi Dai, Huiran Yu, Roger B. Dannenberg:
What is missing in deep music generation? A study of repetition and structure in popular music. 659-666 - Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini:
Heterogeneous Graph Neural Network for Music Emotion Recognition. 667-674 - Mathilde Abrassart, Guillaume Doras:
And what if two musical versions don't share melody, harmony, rhythm, or lyrics ?. 677-684 - Genís Plaja-Roglans, Marius Miron, Xavier Serra:
A diffusion-inspired training strategy for singing voice extraction in the waveform domain. 685-693 - Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
A Model You Can Hear: Audio Identification with Playable Prototypes. 694-700 - Marcos Acosta, Irmak Bukey, T. J. Tsai:
An Exploration of Generating Sheet Music Images. 701-708 - Weixing Wei, Peilin Li, Yi Yu, Wei Li:
HPPNet: Modeling the Harmonic Structure and Pitch Invariance in Piano Transcription. 709-716 - Pedro L. T. Neves, José Fornari, João Batista Florindo:
Generating music with sentiment using Transformer-GANs. 717-725 - Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov:
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. 726-732 - Kyungyun Lee, Gladys Hitt, Emily Terada, Jin Ha Lee:
Ethics of Singing Voice Synthesis: Perceptions of Users and Developers. 733-740 - Takuya Takahashi, Mathieu Barthet:
Emotion-driven Harmonisation And Tempo Arrangement of Melodies Using Transfer Learning. 741-748 - Yigitcan Özer, Matej Istvanek, Vlora Arifi-Müller, Meinard Müller:
Using Activation Functions for Improving Measure-Level Audio Synchronization. 749-756 - Katerina Kosta, Wei Tsung Lu, Gabriele Medeot, Pierre Chanquion:
A deep learning method for melody extraction from a polyphonic symbolic music representation. 757-763 - Peter Knees, Bruce Ferwerda, Andreas Rauber, Sebastian Strumbelj, Annabel Resch, Laurenz Tomandl, Valentin Bauer, Fung Yee Tang, Josip Bobinac, Amila Ceranic, Riad Dizdar:
A Reproducibility Study on User-centric MIR Research and Why it is Important. 764-771 - Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo:
Music Separation Enhancement with Generative Modeling. 772-780 - Stefan Lattner:
SampleMatch: Drum Sample Retrieval by Musical Context. 781-788 - Timothy de Reuse, Ichiro Fujinaga:
A Transformer-Based "Spellchecker" for Detecting Errors in OMR Output. 789-796 - Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis:
"More than words": Linking Music Preferences and Moral Values through Lyrics. 797-805 - Jui-Te Wu, Jun-You Wang, Jyh-Shing Roger Jang, Li Su:
A unified model for zero-shot singing voice conversion and synthesis. 809-816 - Stewart Greenhill, Majid Abdolshah, Vuong Le, Sunil Gupta, Svetha Venkatesh:
Semantic Control of Generative Musical Attributes. 817-824 - Pablo Alonso-Jiménez, Xavier Serra, Dmitry Bogdanov:
Music Representation Learning Based on Editorial Metadata from Discogs. 825-833 - Chih-Pin Tan, Alvin W. Y. Su, Yi-Hsuan Yang:
Melody Infilling with User-Provided Structural Context. 834-841 - Xichu Ma, Xiao Liu, Bowen Zhang, Ye Wang:
Robust Melody Track Identification in Symbolic Music. 842-849 - Florian Thalmann, Eita Nakamura, Kazuyoshi Yoshii:
Tracking the Evolution of a Band's Live Performances over Decades. 850-857 - Ashvala Vinay, Alexander Lerch:
Evaluating Generative Audio Systems and Their Metrics. 858-865 - Alison B. Ma, Alexander Lerch:
Representation Learning for the Automatic Indexing of Sound Effects Libraries. 866-875 - Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer:
Concept-Based Techniques for "Musicologist-Friendly" Explanations in Deep Music Classifiers. 876-883 - Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle:
Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. 884-890 - Longshen Ou, Xiangming Gu, Ye Wang:
Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription. 891-899 - Daniel Szelogowski, Lopamudra Mukherjee, Benjamin Whitcomb:
A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis. 900-907 - Guillem Cortes, Alex Ciurana, Emilio Molina, Marius Miron, Owen Meyers, Joren Six, Xavier Serra:
BAF: An audio fingerprinting dataset for broadcast monitoring. 908-916 - Emmanouil Karystinaios, Gerhard Widmer:
Cadence Detection in Symbolic Classical Music using Graph Neural Networks.. 917-924 - Jingwei Zhao, Gus Xia, Ye Wang:
Domain Adversarial Training on Conditional Variational Auto-Encoder for Controllable Music Generation. 925-932 - Yang Qu, Yutian Qin, Lecheng Chao, Hangkai Qian, Ziyu Wang, Gus Xia:
Modeling perceptual loudness of piano tone: theory and applications. 933-940 - Maximilian Damböck, Richard Vogl, Peter Knees:
On the Impact and Interplay of Input Representations and Network Architectures for Automatic Music Tagging. 941-948
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