| RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning |
[‘N Jiang’, ‘S Jin’, ‘Z Duan’, ‘C Zhang’] |
2020 |
AAAI |
Symbolic |
Classical |
East Asian |
|
| MuseGAN: Multi-Track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment |
[‘H Dong’, ‘W Hsiao’, ‘L Yang’, ‘Y Yang’] |
2018 |
AAAI |
Symbolic |
Classical, Jazz |
East Asian |
|
| N-Gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding |
[‘J Tian’, ‘Z Li’, ‘J Li’, ‘P Wang’] |
2024 |
AAAI |
Symbolic |
Classical |
East Asian |
|
| A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling |
[‘Z Guo’, ‘J Kang’, ‘D Herremans’] |
2023 |
AAAI |
Symbolic |
Classical, Avant-garde & Experimental |
European |
|
| Automatic Real-Time Music Generation for Games |
[‘S Engels’, ‘T Tong’, ‘F Chan’] |
2015 |
AAAI |
Audio-based |
Electronic, Pop |
American |
|
| Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks with a Novel Image-Based Representation |
[‘C Chuan’, ‘D Herremans’] |
2018 |
AAAI |
Symbolic |
Classical |
American |
|
| SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient |
[‘L Yu’, ‘W Zhang’, ‘J Wang’, ‘Y Yu’] |
2017 |
AAAI |
Symbolic |
Classical, Jazz |
American |
|
| MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion |
[‘S Ji’, ‘X Yang’] |
2024 |
AAAI |
Symbolic |
Classical, Avant-garde & Experimental |
East Asian |
|
| Autonomy in Music-Generating Systems |
[‘O Bown’, ‘A Martin’] |
2012 |
AAAI |
Audio-based |
Avant-garde & Experimental |
Oceania |
|
| PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network |
[‘B Wang’, ‘Y Yang’] |
2019 |
AAAI |
Audio-based |
Classical |
American |
|
| From MIDI to Traditional Musical Notation |
[‘E Cambouropoulos’] |
2000 |
AAAI |
Symbolic |
Classical |
European |
|
| Symbolic Music Generation with Transformer-GANs |
A. Muhamed |
2021 |
AAAI |
Symbolic |
Pop |
American |
|
| Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation |
[‘X Zhang’, ‘S Yang’, ‘Y Xu’, ‘W Zhang’, ‘L Gao’] |
2023 |
AAAI |
Audio-based |
Electronic, Pop |
East Asian |
|
| Compound Word Transformer: Learning to Compose Full-Song Music Over Dynamic Directed Hypergraphs |
[‘W Hsiao’, ‘J Liu’, ‘Y Yeh’, ‘Y Yang’] |
2021 |
AAAI |
Symbolic |
Pop, Electronic |
East Asian |
|
| Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search |
[‘L Ferreira’, ‘L Mou’, ‘J Whitehead’] |
2022 |
AAAI |
Symbolic |
Classical, Avant-garde & Experimental |
Latin American |
|
| Danceformer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer |
[‘B Li’, ‘Y Zhao’, ‘S Zhelun’, ‘L Sheng’] |
2022 |
AAAI |
Audio-based |
Electronic |
East Asian |
|
| Compound Word Transformer: Learning to Compose Full-Song Music Over Dynamic Directed Hypergraphs |
W. Hsiao; J. Liu; Y. Yeh; Y. Yang |
2021 |
AAAI |
Symbolic |
Pop |
East Asian |
|
| SongMASS: Automatic Song Writing with Pre-Training and Alignment Constraint |
Z. Sheng |
2021 |
AAAI |
Symbolic |
Pop |
American |
|
| Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation |
[‘D Morris’, ‘I Simon’, ‘S Basu’] |
2008 |
AAAI |
Symbolic |
Avant-garde & Experimental |
American |
|
| The Generative Electronic Dance Music Algorithmic System (GEDMAS) |
Christopher Anderson; Arne Eigenfeldt; P. Pasquier |
2021 |
AAAI |
Audio-Based |
Electronic |
American |
|
| DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer |
Buyu Li; Yongchi Zhao; Shi Zhelun; Lu Sheng |
2022 |
AAAI |
Audio-Based |
Electronic |
East Asian |
|
| Xa-Lan: Algorithmic Generation of Expressive Music Scores Based on Signal Analysis and Graphical Transformations |
Mauricio E. Rodriguez |
2021 |
AAAI |
Symbolic |
Classical |
American |
|
| Exploring the Music Perception Skills of Crowd Workers |
I. P. Samiotis |
2021 |
AAAI |
Audio-Based |
Others |
European |
|
| Prediction and Proactivity in Real-Time Interactive Music Systems |
Andrew R. Brown; Toby Gifford |
2021 |
AAAI |
Symbolic |
Avant-garde & Experimental |
American |
|
| Artist Popularity: Do Web and Social Music Services Agree? |
Alejandro Bellogín; A. D. Vries; Jiyin He |
2021 |
AAAI |
Audio-Based |
Pop |
American |
|
| A Large TV Dataset for Speech and Music Activity Detection |
Yun-Ning Hung |
2022 |
EURASIP |
Audio-Based |
Multiple genres |
East Asian |
|
| Automatic Music Signal Mixing System Based on One-Dimensional Wave-U-Net Autoencoders |
Damian Koszewski; T. Görne; G. Korvel; B. Kostek |
2023 |
EURASIP |
Audio-Based |
Electronic, Avant-garde & Experimental |
European |
|
| Automatic Discrimination Between Front and Back Ensemble Locations in HRTF-Convolved Binaural Recordings of Music |
S. Zieliński; Paweł Antoniuk; Hyunkook Lee; Dale Johnson |
2022 |
EURASIP |
Audio-Based |
Classical |
European |
|
| AAM: A Dataset of Artificial Audio Multitracks for Diverse Music Information Retrieval Tasks |
Fabian Ostermann; Igor Vatolkin; Martin Ebeling |
2023 |
EURASIP |
Audio-Based |
Multiple genres |
European |
|
| Beyond the Big Five Personality Traits for Music Recommendation Systems |
Mariusz Kleć; Alicja Wieczorkowska; K. Szklanny; Włodzimierz Strus |
2023 |
EURASIP |
Audio-Based |
Multiple genres |
European |
|
| Stripe-Transformer: Deep Stripe Feature Learning for Music Source Separation |
Jiale Qian; Xinlu Liu; Yi Yu; Wei Li |
2023 |
EURASIP |
Audio-Based |
Multiple genres |
East Asian |
|
| Transformer-Based Ensemble Method for Multiple Predominant Instruments Recognition in Polyphonic Music |
L. Reghunath; R. Rajan |
2022 |
EURASIP |
Audio-Based |
Classical |
American |
|
| MetaMGC: A Music Generation Framework for Concerts in Metaverse |
Cong Jin |
2022 |
EURASIP |
Audio-Based |
Multiple genres |
East Asian |
|
| Transfer Learning for Violinist Identification |
Yudong Zhao; György Fazekas; M. Sandler |
2022 |
EUSIPCO |
Audio-Based |
Classical |
European |
|
| Violinist Identification Based on Vibrato Features |
Yudong Zhao; Changhong Wang; György Fazekas; Emmanouil Benetos; M. Sandler |
2021 |
EUSIPCO |
Audio-Based |
Classical |
European |
|
| Transfer Learning from Speech to Music: Towards Language-Sensitive Emotion Recognition Models |
J. S. Gómez-Cañón; E. Cano; P. Herrera; E. Gómez |
2021 |
EUSIPCO |
Audio-Based |
Others |
European |
|
| Toward Universal Text-to-Music Retrieval |
[‘S Doh’, ‘M Won’, ‘K Choi’, ‘J Nam’] |
2023 |
ICASSP |
Audio-based |
Pop, Classical |
East Asian |
|
| Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning |
[‘S Liu’, ‘A Hussain’, ‘C Sun’] |
2024 |
ICASSP |
Symbolic |
Classical |
East Asian |
|
| MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies |
[‘K Chen’, ‘Y Wu’, ‘H Liu’, ‘M Nezhurina’] |
2024 |
ICASSP |
Audio-based |
Electronic |
American |
|
| Adapting Frechet Audio Distance for Generative Music Evaluation |
[‘A Gui’, ‘H Gamper’, ‘S Braun’] |
2024 |
ICASSP |
Audio-based |
Classical |
American |
|
| Multi-View Midivae: Fusing Track-and Bar-View Representations for Long Multi-Track Symbolic Music Generation |
[‘Z Lin’, ‘J Chen’, ‘B Tang’, ‘B Sha’, ‘J Yang’] |
2024 |
ICASSP |
Symbolic |
Avant-garde & Experimental |
East Asian |
|
| SleepGAN: Towards Personalized Sleep Therapy Music |
J. Yang; C. Min; A. Mathur; F. Kawsar |
2022 |
ICASSP |
Audio-Based |
Easy Listening |
East Asian |
|
| Learning Music Audio Representations Via Weak Language Supervision |
I. Manco; E. Benetos; E. Quinton; G. Fazekas |
2022 |
ICASSP |
Audio-Based |
Pop, Electronic, Classical |
European |
|
| Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images and Musical Content |
H. Yang |
2022 |
ICASSP |
Audio-Based |
Various |
European |
|
| A Novel 1D State Space for Efficient Music Rhythmic Analysis |
M. Heydari; M. McCallum; A. Ehmann; Z. Duan |
2022 |
ICASSP |
Audio-Based |
Classical, Jazz, Electronic |
American |
|
| S3T: Self-Supervised Pre-Training with Swin Transformer for Music Classification |
H. Zhao; C. Zhang; B. Zhu; Z. Ma; K. Zhang |
2022 |
ICASSP |
Audio-Based |
Various (general-purpose model applicable across genres) |
East Asian |
|
| Textless Speech-to-Music Retrieval Using Emotion Similarity |
[‘S Doh’, ‘M Won’, ‘K Choi’, ‘J Nam’] |
2023 |
ICASSP |
Audio-based |
Multiple genres |
East Asian |
|
| Ambiguity Modelling with Label Distribution Learning for Music Classification |
M. Buisson; P. Alonso-Jiménez; D. Bogdanov |
2022 |
ICASSP |
Audio-Based |
Various (applicable across genres, with emphasis on classification) |
European |
|
| Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks |
B. -Y. Chen |
2022 |
ICASSP |
Audio-Based |
Electronic |
East Asian |
|
| Training Strategies for Automatic Song Writing: A Unified Framework Perspective |
T. Qian; J. Shi; S. Guo; P. Wu; Q. Jin |
2022 |
ICASSP |
Symbolic |
Pop |
East Asian |
|
| Source Separation by Steering Pretrained Music Models |
E. Manilow; P. O’Reilly; P. Seetharaman; B. Pardo |
2022 |
ICASSP |
Audio-Based |
Various |
American |
|
| Genre-Conditioned Long-Term 3D Dance Generation Driven by Music |
Y. Huang |
2022 |
ICASSP |
Audio-Based |
Pop, Hip-hop |
East Asian |
|
| A Melody-Unsupervised Model for Singing Voice Synthesis |
S. Choi; J. Nam |
2022 |
ICASSP |
Audio-Based |
Classical, Pop |
East Asian |
|
| Genre-Conditioned Acoustic Models for Automatic Lyrics Transcription of Polyphonic Music |
X. Gao; C. Gupta; H. Li |
2022 |
ICASSP |
Audio-Based |
Pop, Hip-hop |
East Asian |
|
| TrOMR: Transformer-Based Polyphonic Optical Music Recognition |
Y. Li; H. Liu; Q. Jin; M. Cai; P. Li |
2023 |
ICASSP |
Symbolic |
Classical |
East Asian |
|
| On the Role of Visual Context in Enriching Music Representations |
K. Avramidis; S. Stewart; S. Narayanan |
2023 |
ICASSP |
Audio-Based |
Pop, Classical |
American |
|
| Multitrack Music Transformer |
H. -W. Dong; K. Chen; S. Dubnov; J. McAuley; T. Berg-Kirkpatrick |
2023 |
ICASSP |
Symbolic |
Classical, Jazz |
American |
|
| ByteCover3: Accurate Cover Song Identification on Short Queries |
X. Du |
2023 |
ICASSP |
Audio-Based |
Pop, Rock |
East Asian |
|
| Music Rearrangement Using Hierarchical Segmentation |
[‘C Plachouras’, ‘M Miron’] |
2023 |
ICASSP |
Audio-based |
Classical, Jazz |
European |
|
| Controllable Music Inpainting with Mixed-Level and Disentangled Representation |
[‘S Wei’, ‘Z Wang’, ‘W Gao’, ‘G Xia’] |
2023 |
ICASSP |
Symbolic |
Classical, Avant-garde & Experimental |
Middle Eastern |
|
| HIPI: A Hierarchical Performer Identification Model Based on Symbolic Representation of Music |
[‘S Mahmud Rafee’, ‘G Fazekas’, ‘G Wiggins’] |
2023 |
ICASSP |
Symbolic |
Classical |
European |
|
| Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects |
[‘J Koo’] |
2023 |
ICASSP |
Audio-based |
Pop, Electronic |
East Asian |
|
| Phoneix: Acoustic Feature Processing Strategy for Enhanced Singing Pronunciation with Phoneme Distribution Predictor |
[‘Y Wu’, ‘J Shi’, ‘T Qian’, ‘D Gao’, ‘Q Jin’] |
2023 |
ICASSP |
Audio-based |
Classical, Pop |
American |
|
| An Attention-Based Approach to Hierarchical Multi-Label Music Instrument Classification |
[‘Z Zhong’] |
2023 |
ICASSP |
Audio-based |
Classical, Jazz |
East Asian |
|
| Enhancing the Vocal Range of Single-Speaker Singing Voice Synthesis with Melody-Unsupervised Pre-Training |
[‘S Zhou’, ‘X Li’, ‘Z Wu’, ‘Y Shan’, ‘H Meng’] |
2023 |
ICASSP |
Audio-based |
Pop, Electronic |
East Asian |
|
| Chord-Conditioned Melody Harmonization with Controllable Harmonicity |
[‘S Wu’, ‘X Li’, ‘M Sun’] |
2023 |
ICASSP |
Symbolic |
Classical |
East Asian |
|
| Hierarchical Graph-Based Neural Network for Singing Melody Extraction |
S. Yu; X. Chen; W. Li |
2022 |
ICASSP |
Audio-Based |
Classical, Pop |
East Asian |
|
| Phonation Mode Detection in Singing: A Singer Adapted Model |
[‘Y Wang’, ‘W Wei’, ‘Y Wang’] |
2023 |
ICASSP |
Audio-based |
Classical, Pop |
East Asian |
|
| Pop2Piano: Pop Audio-Based Piano Cover Generation |
[‘J Choi’, ‘K Lee’] |
2023 |
ICASSP |
Audio-based |
Pop |
East Asian |
|
| Improving Music Genre Classification from Multi-Modal Properties of Music and Genre Correlations Perspective |
[‘G Ru’, ‘X Zhang’, ‘J Wang’, ‘N Cheng’, ‘J Xiao’] |
2023 |
ICASSP |
Audio-based |
Multiple genres |
East Asian |
|
| Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity |
[‘P Alonso-Jiménez’] |
2023 |
ICASSP |
Audio-based |
Multiple genres |
European |
|
| Self-Supervised Representations for Singing Voice Conversion |
[‘T Jayashankar’] |
2023 |
ICASSP |
Audio-based |
Classical, Pop |
American |
|
| Deep Root Music Algorithm for Data-Driven DoA Estimation |
[‘D Shmuel’, ‘J Merkofer’, ‘G Revach’, ‘R van Sloun’, ‘N Shlezinger’] |
2023 |
ICASSP |
Audio-based |
Avant-garde & Experimental , Classical |
European |
|
| MAID: A Conditional Diffusion Model for Long Music Audio Inpainting |
K. Liu; W. Gan; C. Yuan |
2023 |
ICASSP |
Audio-Based |
Electronic, Avant-garde & Experimental |
East Asian |
|
| Compose & Embellish: Well-Structured Piano Performance Generation Via a Two-Stage Approach |
S. -L. Wu; Y. -H. Yang |
2023 |
ICASSP |
Symbolic |
Classical, Jazz |
American |
|
| Knowledge-Graph Augmented Music Representation for Genre Classification |
H. Ding |
2023 |
ICASSP |
Audio-Based |
Multiple genres |
East Asian |
|
| Audio Quality Assessment of Vinyl Music Collections Using Self-Supervised Learning |
[‘A Ragano’, ‘E Benetos’, ‘A Hines’] |
2023 |
ICASSP |
Audio-based |
Multiple genres |
European |
|
| Deep Augmented Music Algorithm for Data-Driven DoA Estimation |
J. P. Merkofer; G. Revach; N. Shlezinger; R. J. G. van Sloun |
2022 |
ICASSP |
Audio-Based |
Classical |
European |
|
| End-to-End Music Remastering System Using Self-Supervised and Adversarial Training |
J. Koo; S. Paik; K. Lee |
2022 |
ICASSP |
Audio-Based |
Various (focuses on mastering styles, applicable across genres) |
East Asian |
|
| Melons: Generating Melody with Long-Term Structure Using Transformers and Structure Graph |
Y. Zou |
2022 |
ICASSP |
Symbolic |
Classical |
East Asian |
|
| Decoding Music Attention from EEG Headphones”: A User-Friendly Auditory Brain-Computer Interface” |
W. W. An |
2021 |
ICASSP |
Audio-Based |
Pop |
American |
|
| Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCA |
R. Sawata; T. Ogawa; M. Haseyama |
2021 |
ICASSP |
Audio-Based |
Pop |
American |
|
| Language-Sensitive Music Emotion Recognition Models: Are We Really There Yet? |
J. S. Gómez-Cañón; E. Cano; A. G. Pandrea; P. Herrera; E. Gómez |
2021 |
ICASSP |
Audio-Based |
Others |
European |
|
| Frequency-Temporal Attention Network for Singing Melody Extraction |
S. Yu; X. Sun; Y. Yu; W. Li |
2021 |
ICASSP |
Audio-Based |
Pop |
East Asian |
|
| ByteCover2: Towards Dimensionality Reduction of Latent Embedding for Efficient Cover Song Identification |
X. Du; K. Chen; Z. Wang; B. Zhu; Z. Ma |
2022 |
ICASSP |
Audio-Based |
Various |
American |
|
| An HRNet-BLSTM Model with Two-Stage Training for Singing Melody Extraction |
Y. Gao |
2021 |
ICASSP |
Audio-Based |
Pop |
East Asian |
|
| Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model |
Y. Hiramatsu; G. Shibata; R. Nishikimi; E. Nakamura; K. Yoshii |
2021 |
ICASSP |
Audio-Based |
Pop |
East Asian |
|
| Leveraging the Structure of Musical Preference in Content-Aware Music Recommendation |
P. Magron; C. Févotte |
2021 |
ICASSP |
Audio-Based |
Pop |
American |
|
| Singer Identification Using Deep Timbre Feature Learning with KNN-Net |
X. Zhang; J. Qian; Y. Yu; Y. Sun; W. Li |
2021 |
ICASSP |
Audio-Based |
Pop |
East Asian |
|
| Transformer VAE: A Hierarchical Model for Structure-Aware and Interpretable Music Representation Learning |
[‘J Jiang’, ‘G Xia’, ‘D Carlton’] |
2020 |
ICASSP |
Symbolic |
Classical |
East Asian |
|
| Semi-Supervised Learning for Singing Synthesis Timbre |
J. Bonada; M. Blaauw |
2021 |
ICASSP |
Audio-Based |
Pop |
East Asian |
|
| Probability of Resolution of G-MUSIC: An Asymptotic Approach |
D. Schenck; X. Mestre; M. Pesavento |
2021 |
ICASSP |
Audio-Based |
Classical |
European |
|
| Singing Melody Extraction from Polyphonic Music Based on Spectral Correlation Modeling |
X. Du; B. Zhu; Q. Kong; Z. Ma |
2021 |
ICASSP |
Audio-Based |
Pop |
East Asian |
|
| PPG-Based Singing Voice Conversion with Adversarial Representation Learning |
Z. Li |
2021 |
ICASSP |
Audio-Based |
Pop |
East Asian |
|
| Decoding Music Attention from EEG Headphones”: A User-Friendly Auditory Brain-Computer Interface” |
W. W. An |
2021 |
ICASSP |
Audio-Based |
Pop |
American |
|
| On the Asymptotic Performance of One-Bit Co-Array-Based Music |
S. Sedighi; B. Shankar; M. Soltanalian; B. Ottersten |
2021 |
ICASSP |
Audio-Based |
Classical |
European |
|
| Unsupervised Musical Timbre Transfer for Notification Sounds |
J. Yang; T. Cinquin; G. Sérès |
2021 |
ICASSP |
Audio-Based |
Others |
European |
|
| Extending Music Based on Emotion and Tonality Via Generative Adversarial Network |
B. -W. Tseng; Y. -L. Shen; T. -S. Chi |
2021 |
ICASSP |
Audio-Based |
Classical |
East Asian |
|
| Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation |
K. Chen; B. Liang; X. Ma; M. Gu |
2021 |
ICASSP |
Audio-Based |
Pop |
American |
|
| Multimodal Metric Learning for Tag-Based Music Retrieval |
M. Won; S. Oramas; O. Nieto; F. Gouyon; X. Serra |
2021 |
ICASSP |
Audio-Based |
Others |
American |
|
| Instrument Classification of Solo Sheet Music Images |
K. Ji; D. Yang; T. Tsai |
2021 |
ICASSP |
Symbolic |
Classical |
American |
|
| An LSTM-Based Dynamic Chord Progression Generation System for Interactive Music Performance |
[‘C Garoufis’, ‘A Zlatintsi’, ‘P Maragos’] |
2020 |
ICASSP |
Symbolic |
Jazz |
European |
|
| Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction |
Y. Wang; S. Tanaka; K. Yokoyama; H. -T. Wu; Y. Fang |
2021 |
ICASSP |
Audio-Based |
Pop |
American |
|
| Continuous Interaction with a Smart Speaker Via Low-Dimensional Embeddings of Dynamic Hand Pose |
[‘S Xu’, ‘C Kaul’, ‘X Ge’, ‘R Murray-Smith’] |
2023 |
ICASSP |
Audio-based |
Multiple genres |
European |
|
| Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems? |
[‘X Shi’, ‘E Cooper’, ‘X Wang’, ‘J Yamagishi’] |
2023 |
ICASSP |
Audio-based |
Classical |
American |
|
| Audio-to-Symbolic Arrangement via Cross-Modal Music Representation Learning |
[‘Z Wang’, ‘D Xu’, ‘G Xia’, ‘Y Shan’] |
2022 |
ICASSP |
Symbolic |
Classical |
East Asian |
|
| Genre-Conditioned Long-Term 3D Dance Generation Driven by Music |
[‘Y Huang’, ‘J Zhang’, ‘S Liu’, ‘Q Bao’, ‘D Zeng’] |
2022 |
ICASSP |
Audio-based |
Electronic |
East Asian |
|
| Progressive Teacher-Student Training Framework for Music Tagging |
R. Lu |
2022 |
ICASSP |
Audio-Based |
Pop |
American |
|
| Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music |
K. Chen |
2022 |
ICASSP |
Audio-Based |
Classical |
American |
|
| Music Phrase Inpainting Using Long-Term Representation and Contrastive Loss |
S. Wei; G. Xia; Y. Zhang; L. Lin; W. Gao |
2022 |
ICASSP |
Symbolic |
Classical |
Middle Eastern |
|
| Deep Performer: Score-to-Audio Music Performance Synthesis |
H. -W. Dong; C. Zhou; T. Berg-Kirkpatrick; J. McAuley |
2022 |
ICASSP |
Audio-Based |
Classical |
American |
|
| Audio-to-Symbolic Arrangement via Cross-Modal Music Representation Learning |
Z. Wang; D. Xu; G. Xia; Y. Shan |
2022 |
ICASSP |
Symbolic |
Classical |
East Asian |
|
| Multitrack Music Transformer |
[‘H Dong’, ‘K Chen’, ‘S Dubnov’] |
2023 |
ICASSP |
Symbolic |
Classical |
American |
|
| Hipi: A Hierarchical Performer Identification Model Based on Symbolic Representation of Music |
[‘S Rafee’, ‘G Fazekas’] |
2023 |
ICASSP |
Symbolic |
Classical |
European |
|
| Enhancing Affective Representations of Music-Induced EEG Through Multimodal Supervision and Latent Domain Adaptation |
K. Avramidis; C. Garoufis; A. Zlatintsi; P. Maragos |
2022 |
ICASSP |
Audio-Based |
Others |
American |
|
| Music Enhancement via Image Translation and Vocoding |
N. Kandpal; O. Nieto; Z. Jin |
2022 |
ICASSP |
Audio-Based |
Electronic |
American |
|
| Music Identification Using Brain Responses to Initial Snippets |
P. Pandey; G. Sharma; K. P. Miyapuram; R. Subramanian; D. Lomas |
2022 |
ICASSP |
Audio-Based |
Others |
American |
|
| Improving Automatic Drum Transcription Using Large-Scale Audio-to-MIDI Aligned Data |
[‘I Wei’, ‘C Wu’, ‘L Su’] |
2021 |
ICASSP |
Audio-based |
Rock |
Oceania |
|
| Extending Music Based on Emotion and Tonality via Generative Adversarial Network |
[‘B Tseng’, ‘Y Shen’, ‘T Chi’] |
2021 |
ICASSP |
Symbolic |
Classical |
East Asian |
|
| Fast Timing-Conditioned Latent Audio Diffusion |
[‘Z Evans’, ‘C Carr’, ‘J Taylor’, ‘S Hawley’, ‘J Pons’] |
2024 |
ICML |
Audio-based |
Electronic |
American |
|
| Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion |
[‘H Manor’, ‘T Michaeli’] |
2024 |
ICML |
Audio-based |
Electronic, Avant-garde & Experimental |
Middle Eastern |
|
| MusicFlow: Cascaded Flow Matching for Text-Guided Music Generation |
[‘K R Prajwal’] |
2024 |
ICML |
Audio-based |
Electronic, Avant-garde & Experimental |
European |
|
| MusicRL: Aligning Music Generation to Human Preferences |
[‘G Cideron’] |
2024 |
ICML |
Audio-based |
Pop, Electronic |
American |
|
| Adaptive Accompaniment with RealChords |
[‘Y Wu’] |
2024 |
ICML |
Audio-based |
Jazz, Pop |
American |
|
| LLark: A Multimodal Instruction-Following Language Model for Music |
[‘J Gardner’, ‘S Durand’, ‘D Stoller’, ‘R Bittner’] |
2024 |
ICML |
Symbolic + Audio-based |
Classical, Pop |
American |
|
| Unaligned Supervision for Automatic Music Transcription in the Wild |
Ben Maman; Amit H. Bermano |
2022 |
ICML |
Audio-Based |
Classical, Jazz |
Middle Eastern |
|
| Oblivious Sketching-Based Central Path Method for Linear Programming |
Zhao Song; Zheng Yu |
2021 |
ICML |
Audio-Based |
Others |
American |
|
| Latent Space Regularization for Explicit Control of Musical Attributes |
[‘A Pati’, ‘A Lerch’] |
2019 |
ICML |
Symbolic |
Avant-garde & Experimental |
American |
|
| DITTO: Diffusion Inference-Time T-Optimization for Music Generation |
[‘Z Novack’, ‘J McAuley’, ‘T Berg-Kirkpatrick’, ‘N Bryan’] |
2024 |
ICML |
Audio-based |
Electronic, Avant-garde & Experimental |
American |
|
| Symbolic Music Generation with Non-Differentiable Rule-Guided Diffusion |
[‘Y Huang’] |
2024 |
ICML |
Symbolic |
Classical, Avant-garde & Experimental |
American |
|
| SynthNet: Learning to Synthesize Music End-to-End |
[‘F Schimbinschi’, ‘C Walder’, ‘S Erfani’, ‘J Bailey’] |
2019 |
IJCAI |
Audio-based |
Electronic |
Oceania |
|
| LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System |
[‘Y Shan’, ‘J Zhang’, ‘H Ren’, ‘Y Qiu’, ‘J Zhou’] |
2023 |
IJCAI |
Audio-based |
Traditional Chinese, Folk |
East Asian |
|
| Graph-Based Polyphonic Multitrack Music Generation |
[‘E Cosenza’, ‘A Valenti’, ‘D Bacciu’] |
2023 |
IJCAI |
Symbolic |
Classical, Electronic |
European |
|
| Humming2Music: Being a Composer as Long as You Can Hum |
[‘Y Qiu’, ‘J Zhang’, ‘H Ren’, ‘Y Shan’, ‘J Zhou’] |
2023 |
IJCAI |
Audio-based |
Pop |
East Asian |
|
| Tradformer: A Transformer Model of Traditional Music Transcriptions |
Luca Casini; Bob L. T. Sturm |
2022 |
IJCAI |
Symbolic |
Folk |
European |
|
| Music-to-Dance Generation with Optimal Transport |
Shuang Wu; Shijian Lu; Li Cheng |
2022 |
IJCAI |
Audio-Based |
Electronic |
East Asian |
|
| Automatic Translation of Music-to-Dance for In-Game Characters |
Yinglin Duan |
2021 |
IJCAI |
Audio-Based |
Pop |
East Asian |
|
| Discrete Diffusion Probabilistic Models for Symbolic Music Generation |
[‘M Plasser’, ‘S Peter’, ‘G Widmer’] |
2023 |
IJCAI |
Symbolic |
Classical, Avant-garde & Experimental |
European |
|
| Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music Re-Arrangement |
[‘J Zhao’, ‘G Xia’, ‘Y Wang’] |
2023 |
IJCAI |
Symbolic |
Classical |
East Asian |
|
| A Deep Learning Method for Melody Extraction from a Polyphonic Symbolic Music Representation |
[‘K Kosta’, ‘W Lu’, ‘G Medeot’, ‘P Chanquion’] |
2022 |
ISMIR |
Symbolic |
Classical |
European |
|
| Music Generation and Transformation with Moment Matching-Scattering Inverse Networks |
[‘M Andreux’, ‘S Mallat’] |
2018 |
ISMIR |
Audio-based |
Electronic, Avant-garde & Experimental |
European |
|
| BPS-Motif: A Dataset for Repeated Pattern Discovery of Polyphonic Symbolic Music |
[‘Y Hsiao’, ‘T Hung’, ‘T Chen’, ‘L Su’] |
2023 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| Extracting Ground-Truth Information from MIDI Files: A MIDIfesto |
[‘C Raffel’, ‘D Ellis’] |
2016 |
ISMIR |
Symbolic |
Classical |
American |
|
| MuseBERT: Pre-Training Music Representation for Music Understanding and Controllable Generation |
[‘Z Wang’, ‘G Xia’] |
2021 |
ISMIR |
Symbolic |
Classical, Avant-garde & Experimental |
East Asian |
|
| Connecting the Dots: Music Metadata Generation, Schemas and Applications |
[‘N Corthaut’, ‘S Govaerts’, ‘K Verbert’, ‘E Duval’] |
2008 |
ISMIR |
Symbolic |
Classical, Pop |
European |
|
| Large-Scale Content-Based Matching of MIDI and Audio Files |
[‘C Raffel’, ‘D Ellis’] |
2015 |
ISMIR |
Symbolic + Audio-based |
Multiple genres |
American |
|
| Separating Voices in MIDI |
[‘S Madsen’, ‘G Widmer’] |
2006 |
ISMIR |
Symbolic |
Classical |
European |
|
| Sampling Variations of Sequences for Structured Music Generation |
[‘F Pachet’, ‘A Papadopoulos’, ‘P Roy’] |
2017 |
ISMIR |
Symbolic |
Classical, Avant-garde & Experimental |
European |
|
| Cross-Cultural Music Mood Classification: A Comparison on English and Chinese Songs |
[‘Y Yang’, ‘X Hu’] |
2012 |
ISMIR |
Audio-based |
Pop |
East Asian |
|
| Feature Extraction and Machine Learning on Symbolic Music Using the Music21 Toolkit |
[‘M Cuthbert’, ‘C Ariza’, ‘L Friedland’] |
2011 |
ISMIR |
Symbolic |
Classical |
American |
|
| Fast Identification of Piece and Score Position via Symbolic Fingerprinting |
[‘A Arzt’, ‘S Böck’, ‘G Widmer’] |
2012 |
ISMIR |
Symbolic |
Classical |
American |
|
| Vocal Melody Extraction with Semantic Segmentation and Audio-Symbolic Domain Transfer Learning |
[‘W Lu’, ‘L Su’] |
2018 |
ISMIR |
Symbolic + Audio-based |
Pop |
East Asian |
|
| Combining Features Extracted from Audio, Symbolic, and Cultural Sources |
[‘C McKay’, ‘I Fujinaga’] |
2008 |
ISMIR |
Symbolic + Audio-based |
Others |
American |
|
| Fast Generation of Optimal Music Playlists Using Local Search |
[‘S Pauws’, ‘W Verhaegh’, ‘M Vossen’] |
2006 |
ISMIR |
Audio-based |
Pop, Rock |
European |
|
| JSYMBOLIC 2.2: Extracting Features from Symbolic Music for Use in Musicological and MIR Research |
[‘C McKay’, ‘J Cumming’, ‘I Fujinaga’] |
2018 |
ISMIR |
Symbolic |
Others |
American |
|
| A Pattern Recognition Approach for Melody Track Selection in MIDI Files |
[‘D Rizo’, ‘P de León’, ‘C Pérez-Sancho’, ‘A Pertusa’] |
2006 |
ISMIR |
Symbolic |
Classical |
European |
|
| Assessing the Tuning of Sung Indian Classical Music |
[‘J Serra’, ‘G Koduri’, ‘M Miron’, ‘X Serra’] |
2011 |
ISMIR |
Audio-based |
Indian Classical |
European |
|
| Automatic Generation of Lead Sheets from Polyphonic Music Signals |
[‘J Weil’, ‘T Sikora’, ‘J Durrieu’, ‘G Richard’] |
2009 |
ISMIR |
Audio-based |
Jazz, Pop |
European |
|
| De-Centering the West: East Asian Philosophies and the Ethics of Applying Artificial Intelligence to Music |
[‘R Huang’, ‘B Sturm’, ‘A Holzapfel’] |
2021 |
ISMIR |
Audio-based |
Avant-garde & Experimental |
European |
|
| Music and Geography: Content Description of Musical Audio from Different Parts of the World |
[‘E Gómez’, ‘M Haro’, ‘P Herrera’] |
2009 |
ISMIR |
Audio-based |
Folk |
European |
|
| Exploration of Music Emotion Recognition Based on MIDI |
[‘Y Lin’, ‘X Chen’, ‘D Yang’] |
2013 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| Building the MetaMIDI Dataset: Linking Symbolic and Audio Musical Data |
[‘J Ens’, ‘P Pasquier’] |
2021 |
ISMIR |
Symbolic + Audio-based |
Multiple genres |
American |
|
| Automated Music Slideshow Generation Using Web Images Based on Lyrics |
[‘S Funasawa’, ‘H Ishizaki’, ‘K Hoashi’, ‘Y Takishima’, ‘J Katto’] |
2010 |
ISMIR |
Audio-based |
Pop, Easy Listening |
East Asian |
|
| Automatic Handwritten Mensural Notation Interpreter: From Manuscript to MIDI Performance |
[‘Y Huang’, ‘X Chen’, ‘S Beck’, ‘D Burn’, ‘L Van Gool’] |
2015 |
ISMIR |
Symbolic |
Classical |
European |
|
| An Improved Hierarchical Approach for Music-to-Symbolic Score Alignment |
[‘C Joder’, ‘S Essid’, ‘G Richard’] |
2010 |
ISMIR |
Symbolic |
Classical |
European |
|
| Attributes-Aware Deep Music Transformation |
[‘L Kawai’, ‘P Esling’, ‘T Harada’] |
2020 |
ISMIR |
Symbolic |
Avant-garde & Experimental |
European |
|
| Chord Recognition in Symbolic Music Using Semi-Markov Conditional Random Fields |
[‘K Masada’, ‘R Bunescu’] |
2017 |
ISMIR |
Symbolic |
Classical |
American |
|
| A Neural Greedy Model for Voice Separation in Symbolic Music |
[‘P Gray’, ‘R Bunescu’] |
2016 |
ISMIR |
Symbolic |
Classical |
American |
|
| Estimating Musical Time Information from Performed MIDI Files |
[‘H Grohganz’, ‘M Clausen’, ‘M Müller’] |
2014 |
ISMIR |
Symbolic |
Classical |
European |
|
| Part-Invariant Model for Music Generation and Harmonization |
[‘Y Yan’, ‘E Lustig’, ‘J VanderStel’, ‘Z Duan’] |
2018 |
ISMIR |
Symbolic |
Classical |
American |
|
| Compression-Based Similarity Measures in Symbolic, Polyphonic Music |
[‘T Ahonen’, ‘K Lemström’, ‘S Linkola’] |
2011 |
ISMIR |
Symbolic |
Classical |
European |
|
| The PerlHumdrum and PerlLilyPond Toolkits for Symbolic Music Information Retrieval |
[‘I Knopke’] |
2008 |
ISMIR |
Symbolic |
Classical |
European |
|
| Music Pattern Discovery with Variable Markov Oracle: A Unified Approach to Symbolic and Audio Representations |
[‘C Wang’, ‘J Hsu’, ‘S Dubnov’] |
2015 |
ISMIR |
Symbolic + Audio-based |
Classical, Avant-garde & Experimental |
American |
|
| Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model |
[‘W Lu’, ‘L Su’] |
2018 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| Skeleton Plays Piano: Online Generation of Pianist Body Movements from MIDI Performance |
[‘B Li’, ‘A Maezawa’, ‘Z Duan’] |
2018 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| Controlling Symbolic Music Generation Based on Concept Learning from Domain Knowledge |
[‘T Akama’] |
2019 |
ISMIR |
Symbolic |
Classical, Avant-garde & Experimental |
American |
|
| COCHONUT: Recognizing Complex Chords from MIDI Guitar Sequences |
[‘R Scholz’, ‘G Ramalho’] |
2008 |
ISMIR |
Symbolic |
Rock |
Latin American |
|
| Search Effectiveness Measures for Symbolic Music Queries in Very Large Databases |
[‘C Sapp’, ‘Y Liu’, ‘E Selfridge-Field’] |
2004 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| Evaluating the Genre Classification Performance of Lyrical Features Relative to Audio, Symbolic and Cultural Features |
[‘C McKay’, ‘J Burgoyne’, ‘J Hockman’, ‘J Smith’] |
2010 |
ISMIR |
Symbolic + Audio-based |
Others |
American |
|
| Functional Harmony Recognition of Symbolic Music Data with Multi-Task Recurrent Neural Networks |
[‘T Chen’, ‘L Su’] |
2018 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription System |
[‘T Lidy’, ‘A Rauber’, ‘A Pertusa’, ‘J Quereda’] |
2007 |
ISMIR |
Symbolic + Audio-based |
Others |
European |
|
| N-Gram Based Statistical Makam Detection on Makam Music in Turkey Using Symbolic Data |
[‘E Ünal’, ‘B Bozkurt’, ‘K Karaosmanoğlu’] |
2012 |
ISMIR |
Symbolic |
Classical |
Middle Eastern |
|
| A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity |
[‘S Park’, ‘T Kwon’, ‘J Lee’, ‘J Kim’, ‘J Nam’] |
2019 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| Methodologies for Creating Symbolic Corpora of Western Music Before 1600 |
[‘J Cumming’, ‘C McKay’, ‘J Stuchbery’, ‘I Fujinaga’] |
2018 |
ISMIR |
Symbolic |
Classical |
American |
|
| Tempo Detection of Urban Music Using Tatum Grid Non-Negative Matrix Factorization |
[‘D Gärtner’] |
2013 |
ISMIR |
Audio-based |
Hip-hop, Electronic |
European |
|
| An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic Formats |
[‘Y Ju’, ‘S Howes’, ‘C McKay’, ‘N Condit-Schultz’] |
2019 |
ISMIR |
Symbolic |
Classical |
American |
|
| Meter Detection and Alignment of MIDI Performance |
[‘A McLeod’, ‘M Steedman’] |
2018 |
ISMIR |
Symbolic |
Classical |
European |
|
| Learning Note-to-Note Affinity for Voice Segregation and Melody Line Identification of Symbolic Music Data |
[‘Y Hsiao’, ‘L Su’] |
2021 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| From Low-Level to Song-Level Percussion Descriptors of Polyphonic Music |
[‘M Haro’, ‘P Herrera’] |
2009 |
ISMIR |
Audio-based |
Jazz |
European |
|
| Towards a MIR System for Malaysian Music |
[‘S Doraisamy’, ‘H Adnan’, ‘N Mohd’] |
2006 |
ISMIR |
Audio-based |
Folk |
South Asian |
|
| Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment |
[‘E Nakamura’, ‘K Yoshii’, ‘H Katayose’] |
2017 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| Coupling Social Network Services and Support for Online Communities in Codes Environment |
[‘F Scheeren’, ‘M Pimenta’, ‘D Keller’, ‘V Lazzarini’] |
2013 |
ISMIR |
Symbolic |
Avant-garde & Experimental |
Latin American |
|
| MIR in ENP-Rule-Based Music Information Retrieval from Symbolic Music Notation |
[‘M Kuuskankare’, ‘M Laurson’] |
2009 |
ISMIR |
Symbolic |
Classical |
American |
|
| Robust Melody Track Identification in Symbolic Music |
[‘X Ma’, ‘X Liu’, ‘B Zhang’, ‘Y Wang’] |
2022 |
ISMIR |
Symbolic |
Classical |
East Asian |
|
| RWC Music Database: Popular, Classical and Jazz Music Databases |
[‘M Goto’, ‘H Hashiguchi’, ‘T Nishimura’, ‘R Oka’] |
2002 |
ISMIR |
Audio-based |
Pop, Classical, Jazz |
East Asian |
|
| Symbolic Representation of Musical Chords: A Proposed Syntax for Text Annotations |
[‘C Harte’, ‘M Sandler’, ‘S Abdallah’, ‘E Gómez’] |
2005 |
ISMIR |
Symbolic |
Classical |
European |
|
| Toward Automatic Music Audio Summary Generation from Signal Analysis |
[‘G Peeters’, ‘A La Burthe’, ‘X Rodet’] |
2002 |
ISMIR |
Audio-based |
Pop, Classical |
European |
|
| Joint Beat and Downbeat Tracking with Recurrent Neural Networks |
[‘S Böck’, ‘F Krebs’, ‘G Widmer’] |
2016 |
ISMIR |
Symbolic |
Carnatic, Cretan, Turkish (Non-Western) and possibly Classical (Western) |
European |
|
| MIR in MATLAB: The MIDI Toolbox |
[‘T Eerola’, ‘P Toiviainen’] |
2004 |
ISMIR |
Symbolic |
Others |
European |
|
| The Latin Music Database |
[‘C Silla’, ‘A Koerich’, ‘C Kaestner’] |
2008 |
ISMIR |
Audio-based |
Pop |
European |
|
| Fingering Watermarking in Symbolic Digital Scores |
[‘D Gross-Amblard’, ‘P Rigaux’, ‘L Abrouk’, ‘N Cullot’] |
2009 |
ISMIR |
Symbolic |
Classical |
European |
|
| The Bodhidharma System and the Results of the MIREX 2005 Symbolic Genre Classification Contest |
[‘C McKay’, ‘I Fujinaga’] |
2005 |
ISMIR |
Symbolic |
Classical |
American |
|
| 2001: Principles for Designing Computer Music Controllers |
[‘P Cook’] |
2017 |
NIME |
Symbolic |
Avant-garde & Experimental |
American |
|
| Sonic Banana: A Novel Bend-Sensor-Based MIDI Controller |
[‘E Singer’] |
2003 |
NIME |
Symbolic |
Electronic, Avant-garde & Experimental |
American |
|
| LEMUR GuitarBot: MIDI Robotic String Instrument |
[‘E Singer’, ‘K Larke’, ‘D Bianciardi’] |
2003 |
NIME |
Symbolic |
Rock, Classical |
American |
|
| A Computer-Aided Multimodal Music Learning System with Curriculum: A Pilot Study |
Daniel Chin; Gus G. Xia |
2022 |
NIME |
Audio-Based |
Classical |
East Asian |
|
| Bodily Awareness Through NIMEs: Deautomatising Music Making Processes |
Carla Sophie Tapparo; Victor Zappi |
2022 |
NIME |
Audio-Based |
Avant-garde & Experimental |
European |
|
| Eolos: A Wireless MIDI Wind Controller |
[‘J Ramos’] |
2019 |
NIME |
Symbolic |
Classical, Jazz |
Latin American |
|
| COSMIC: A Conversational Interface for Human-AI Music Co-Creation |
[‘Y Zhang’, ‘G Xia’, ‘M Levy’, ‘S Dixon’] |
2021 |
NIME |
Audio-based |
Pop, Electronic |
European |
|
| Practical Considerations for MIDI Over Bluetooth Low Energy as a Wireless Interface |
[‘J Wang’, ‘A Mulder’, ‘M Wanderley’] |
2019 |
NIME |
Symbolic |
Classical, Electronic |
American |
|
| Fliperama: An Affordable Arduino-Based MIDI Controller |
[‘R Vieira’, ‘F Schiavoni’] |
2020 |
NIME |
Symbolic |
Electronic |
Latin American |
|
| The STRIMIDILATOR: A String Controlled MIDI Instrument |
[‘M Baalman’] |
2003 |
NIME |
Symbolic |
Rock, Classical |
European |
|
| A Survey of Real-Time MIDI Performance |
[‘M Nelson’, ‘B Thom’] |
2004 |
NIME |
Symbolic |
Multiple genres |
American |
|
| ZooZBeat: A Gesture-Based Mobile Music Studio |
[‘G Weinberg’, ‘A Beck’, ‘M Godfrey’] |
2009 |
NIME |
Audio-based |
Pop, Electronic |
American |
|
| i-Maestro: Technology-Enhanced Learning and Teaching for Music |
[‘K Ng’, ‘P Nesi’] |
2008 |
NIME |
Symbolic |
Classical |
European |
|
| Listening to Your Brain: Implicit Interaction in Collaborative Music Performances |
[‘S Mealla’, ‘A Väljamäe’, ‘M Bosi’, ‘S Jordà’] |
2011 |
NIME |
Audio-based |
Avant-garde & Experimental |
European |
|
| HIDUINO: A Firmware for Building Driverless USB-MIDI Devices Using the Arduino Microcontroller |
[‘D Diakopoulos’, ‘A Kapur’] |
2011 |
NIME |
Symbolic |
Electronic, Avant-garde & Experimental |
American |
|
| Music Interfaces for Novice Users: Composing Music on a Public Display with Hand Gestures |
[‘G Beyer’, ‘M Meier’] |
2011 |
NIME |
Audio-based |
Electronic, Avant-garde & Experimental |
European |
|
| Towards Realistic MIDI Instrument Synthesizers |
[‘R Castellon’, ‘C Donahue’] |
2020 |
NeurIPS |
Audio-based |
Classical, Electronic |
American |
|
| Simple and Controllable Music Generation |
[‘J Copet’, ‘F Kreuk’, ‘I Gat’, ‘T Remez’, ‘D Kant’, ‘G Synnaeve’, ‘Y Adi’, ‘A Défossez’] |
2023 |
NeurIPS |
Audio-based |
Others |
American |
|
| Miningsuite: A Comprehensive Matlab Framework for Signal, Audio and Music Analysis, Articulating Audio and Symbolic Approaches |
[‘O Lartillot’] |
2019 |
SMC |
Symbolic + Audio-based |
Others |
European |
|
| Towards Audio-to-Score Alignment in the Symbolic Domain |
[‘B Niedermayer’] |
2009 |
SMC |
Symbolic |
Classical |
European |
|
| Annotating Symbolic Texture in Piano Music: A Formal Syntax |
[‘L Couturier’, ‘L Bigo’, ‘F Levé’] |
2022 |
SMC |
Symbolic |
Classical |
European |
|
| Pop Music Generation: From Melody to Multi-style Arrangement |
[Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen] |
2020 |
ACM |
Symbolic |
Pop |
East Asian |
|
| Structure-Enhanced Pop Music Generation via Harmony-Aware Learning |
[Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou] |
2022 |
ACM |
Symbolic |
Pop |
East Asian |
|
| Video Background Music Generation with Controllable Music Transformer |
[Shangzhe Di, Zeren Jiang, Si Liu, Zhaokai Wang, Leyan Zhu, Zexin He, Hongming Liu, Shuicheng Yan] |
2021 |
ACM |
Symbolic |
Pop, Rock, Electronic, Jazz, Classical, Hip-hop, Blues, Folk |
East Asian |
|
| PopMAG: Pop Music Accompaniment Generation |
[Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu] |
2020 |
ACM |
Symbolic |
Pop |
East Asian |
|
| Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions |
[Yu-Siang Huang, Yi-Hsuan Yang] |
2020 |
ACM |
Symbolic |
Pop |
East Asian |
|
| Interpretable Melody Generation from Lyrics with Discrete-Valued Adversarial Training |
[Wei Duan, Zhe Zhang, Yi Yu, Keizo Oyama] |
2022 |
ACM |
Symbolic |
Pop |
East Asian |
|
| SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias |
[Zihao Wang, Kejun Zhang, Yuxing Wang, Chen Zhang, Qihao Liang, Pengfei Yu, Yongsheng Feng, Wenbo Liu, Yikai Wang, Yuntao Bao, Yiheng Yang] |
2022 |
ACM |
Symbolic |
Pop |
East Asian |
|
| Conditional LSTM-GAN for Melody Generation from Lyrics |
[Yi Yu, Abhishek Srivastava, Simon Canales] |
2021 |
ACM |
Symbolic |
Pop |
East Asian |
|
| Calliope: A Co-creative Interface for Multi-Track Music Generation |
[Renaud Bougueng Tchemeube, Jeffrey John Ens, Philippe Pasquier] |
2022 |
ACM |
Symbolic |
Pop, Rock, Electronic, Jazz, Classical, Hip-hop, Blues, Folk |
American |
|
| Bach Genre Music Generation with WaveNet—A Steerable CNN-based Method with Different Temperature Parameters |
[Shangxuan Luo] |
2023 |
ACM |
Symbolic |
Others |
East Asian |
|
| A Variant Model of TGAN for Music Generation |
[Ping-Sung Cheng, Chieh-Ying Lai, Chun-Chieh Chang, Shu-Fen Chiou, Yu-Chieh Yang] |
2020 |
ACM |
Symbolic |
Others |
East Asian |
|
| Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks |
[Dan Ma, Bin Liu, Xiyu Qiao, Danni Cao, Guosheng Yin] |
2020 |
ACM |
Symbolic |
Folk |
East Asian |
|
| Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models |
[Ryan Louie, Andy Coenen, Cheng Zhi Huang, Michael Terry, Carrie J. Cai] |
2020 |
ACM |
Symbolic |
Others |
American |
|
| Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders |
[Maciej Tomczak, Masataka Goto, Jason Hockman] |
2020 |
ACM |
Symbolic |
Others |
European |
|
| A Progressive-Adaptive Music Generator (PAMG): An Approach to Interactive Procedural Music for Videogames |
[Alvaro Eduardo Lopez Duarte] |
2024 |
ACM |
Audio |
Others |
American |
|
| Graph-Based Mutations for Music Generation |
[Maziar Kanani, Seán O’Leary, James McDermott] |
2023 |
ACM |
Symbolic |
Folk |
European |
|
| Collaborating with an Autonomous Agent to Generate Affective Music |
[Fabio Morreale, Antonella De Angeli] |
2016 |
ACM |
Symbolic |
Others |
European |
|
| ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors |
[Damjan Prvulovic, Richard Vogl, Peter Knees] |
2022 |
ACM |
Symbolic |
Others |
European |
|
| ScripTONES: Sentiment-Conditioned Music Generation for Movie Scripts |
[Vishruth Veerendranath, Vibha Masti, Utkarsh Gupta, Hrishit Chaudhuri, Gowri Srinivasa] |
2024 |
ACM |
Symbolic |
Others |
South Asian |
|
| PiCoGen: Generate Piano Covers with a Two-stage Approach |
[Chih-Pin Tan, Shuen-Huei Guan, Yi-Hsuan Yang] |
2024 |
ACM |
Symbolic |
Pop |
East Asian |
|
| Score Transformer: Generating Musical Score from Note-level Representation |
[Masahiro Suzuki] |
2022 |
ACM |
Symbolic |
Classical |
East Asian |
|