default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID1st AIMC 2020, Stockholm, Sweden
- Proceedings of the Joint Conference on AI Music Creativity (AIMC 2020), Stockholm, Sweden, October 19-23, 2020. 2020
- Matthew Caren:
TRoco: A generative algorithm using jazz music theory. - Jean-François Charles, Gil Dori, Joseph Norman:
Sonic Print: Timbre Classification with Live Training for Musical Applications. - Jeffrey Ens, Philippe Pasquier:
Improved Listening Experiment Design for Generative Systems. - Joaquin Jimenez:
Creating a Machine Learning Assistant for the Real-Time Performance of Dub Music. - Rui Guo, Ivor Simpson, Thor Magnusson, Dorien Herremans:
Symbolic music generation with tension control. - Zeng Ren
:
Style Composition With An Evolutionary Algorithm. - Raymond Whorley, Robin C. Laney:
Generating Subjects for Pieces in the Style of Bach’s Two-Part Inventions. - Jacopo de Berardinis, Samuel Barrett, Angelo Cangelosi, Eduardo Coutinho:
Modelling long- and short-term structure in symbolic music with attention and recurrence. - Aiko Uemura, Tetsuro Kitahara:
Morphing-Based Reharmonization using LSTM-VAE. - Richard Savery, Lisa Zahray, Gil Weinberg:
ProsodyCVAE: A Conditional Convolutional Variational Autoencoder for Real-time Emotional Music Prosody Generation. - Carmine-Emanuele Cella, Luke Dzwonczyk, Alejandro Saldarriaga-Fuertes, Hongfu Liu, Hélène-Camille Crayencour:
A Study on Neural Models for Target-Based Computer-Assisted Musical Orchestration. - Sofy Yuditskaya, Sophia Sun, Derek Kwan:
Karaoke of Dreams: A multi-modal neural-network generated music experience. - Guillaume Alain, Maxime Chevalier-Boisvert, Frédéric Osterrath, Rémi Piché-Taillefer:
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop. - Yijun Zhou, Yuki Koyama, Masataka Goto, Takeo Igarashi:
Generative Melody Composition with Human-in-the-Loop Bayesian Optimization. - Joann Ching, António Ramires, Yi-Hsuan Yang:
Instrument Role Classification: Auto-tagging for Loop Based Music. - Roger Dean:
The multi-tuned piano: keyboard music without a tuning system generated manually or by Deep Improviser. - Stefano Kalonaris, Anna Aljanaki:
Meet HER: A Language-based Approach to Generative Music Systems Evaluation. - Mio Kusachi, Aiko Uemura, Tetsuro Kitahara:
A Piano Ballad Arrangement System. - Mathias Rose Bjare, David Meredith:
Sequence Generative Adversarial Networks for Music Generation with Maximum Entropy Reinforcement Learning. - Liam Dallas, Fabio Morreale:
Effects of Added Vocals and Human Production to AI-composed Music on Listener’s Appreciation. - Sutirtha Chakraborty, Shyam Kishor, Shubham Nikesh Patil, Joseph Timoney:
LeaderSTeM-A LSTM model for dynamic leader identification within musical streams. - Nick Collins, Vít Ruzicka, Mick Grierson:
Remixing AIs: mind swaps, hybrainity, and splicing musical models. - Lonce Wyse, Muhammad Huzaifah:
Deep learning models for generating audio textures. - Nicolas Jonason, Bob L. T. Sturm, Carl Thomé:
The control-synthesis approach for making expressive and controllable neural music synthesizers. - Mathieu Prang, Philippe Esling:
Signal-domain representation of symbolic music for learning embedding spaces. - Foteini Simistira Liwicki, Marcus Liwicki, Pedro Malo Perise, Federico Ghelli Visi, Stefan Östersjö:
Analysing Musical Performance in Videos Using Deep Neural Networks. - Amir Salimi, Abram Hindle:
Make Your Own Audience: Virtual Listeners Can Filter Generated Drum Programs. - Grigore Burloiu:
Interactive Learning of Microtiming in an Expressive Drum Machine. - Germán Ruiz-Marcos, Alistair Willis, Robin C. Laney:
Automatically calculating tonal tension. - Hadrien Foroughmand, Geoffroy Peeters:
Extending Deep Rhythm for Tempo and Genre Estimation Using Complex Convolutions, Multitask Learning and Multi-input Network. - James Bradbury:
Computer-assisted corpus exploration with UMAP and agglomerative clustering. - Shlomo Dubnov:
Deep Music Information Dynamics. - Shuqi Dai, Huan Zhang, Roger B. Dannenberg:
Automatic Detection of Hierarchical Structure and Influence of Structure on Melody, Harmony and Rhythm in Popular Music. - Brendan O'Connor, Simon Dixon, George Fazekas:
An Exploratory Study on Perceptual Spaces of the Singing Voice. - Théis Bazin, Gaëtan Hadjeres, Philippe Esling, Mikhail Malt:
Spectrogram Inpainting for Interactive Generation of Instrument Sounds. - Manos Plitsis, Kosmas Kritsis, Maximos Kaliakatsos-Papakostas, Aggelos Pikrakis, Vassilis Katsouros:
Towards a Classification and Evaluation of Symbolic Music Encodings for RNN Music Generation. - Sandeep Dasari, Jason Freeman:
Directed Evolution in Live Coding Music Performance. - Fred Bruford, SKoT McDonald, Mark Sandler:
jaki: User-Controllable Generation of Drum Patterns using LSTM Encoder-Decoder and Deep Reinforcement Learning. - Hayato Sumino, Adrien Bitton, Lisa Kawai, Philippe Esling, Tatsuya Harada:
Automatic Music Transcription and Instrument Transposition with Differentiable Rendering. - Darrell Conklin, Geert Maessen:
Aspects of pattern discovery for Mozarabic chant realization. - Samuel Hunt:
An Analysis of Repetition in Video Game Music. - Gabriel Vigliensoni, Louis McCallum, Esteban Maestre, Rebecca Fiebrink:
Generation and visualization of rhythmic latent spaces.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-28 01:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
