We discuss papers on music learning, understanding, representations, generation, and signal processing, with an emphasis on machine learning. We welcome anyone to join us. To sign up our reading group mailing list please click here .
If you have any idea, comment or suggestion, email us at shuqid@cs.cmu.edu .
Computer Music Group ,
Computer Science Department,
Carnegie Mellon University
[2024 April 18] @ GHC 4215: Empowering Individual Music Expression Through Composition, Performance, and Synthesis presented by Shuqi Dai
[2024 Mar 28] @ GHC 4405: Recent Progress in Multimodal Music Language Models: Hierarchical Modeling, Control, and AI Secretary. presented by Gus Xia
[2024 Mar 21] Preview Paper Presentation at the International Conference on New Music Concepts presented by Antonis Christou
[2024 Feb 29] MIDIOgre: a Python-based MIDI data augmentation library presented by Ashwin Pillay
[2024 Jan 17] Thesis Proposal: Towards Artificial Musicians: Modeling Style for Music Composition, Performance, and Synthesis via Machine Learning presented by Shuqi Dai Zoom: https://cmu.zoom.us/j/93596350485?pwd=MDNocytXNm1ERUVxRDJhZnZmRVpmZz09 1pm EST @ GHC 4405
[2023 Nov 30] ISMIR 2023 paper discussion session 2
[2023 Nov 16] ISMIR 2023 paper discussion session 1
[2023 Nov 2] LLark: A Multimodal Foundation Model for Music presented by Chris Donahue
[2023 Sep 28] The Beauty of Repetition: an Algorithmic Composition Model with Motif-level Repetition Generator and Outline-to-music Generator in Symbolic Music Generation presented by Roger B. Dannenberg
[2023 Sep 21] LLMs in music workflows: NeuralMidiFx, MusicGen, Anticipatory Music Transformer presented by Chris Donahue
[2023 Sep 7] Overview of Singing Voice Synthesis presented by Shuqi Dai
[2022 April 20] Neural Instrument Cloning from very few samples presented by Nicolas Jonason
[2022 April 13] MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling presented by Yusong Wu
[2022 April 1] AI music generation with repetition structure presented by Shuqi Dai
[2022 March 16] ISMIR paper discussion: Poster Session 3
[2022 Feb 16] ISMIR paper discussion: Poster Session 3
[2022 Jan 19 & Jan 26 & Feb 2] ISMIR paper discussion: Poster Session 2
[2021 Dec 15] ISMIR paper discussion: Poster Session 2
[2021 Dec 8] ISMIR paper discussion: Poster Session 1
[2021 Dec 1] ISMIR paper discussion: Poster Session 1
[2021 Sep 29] Computational analysis and modeling of expressive timing in Chopin's Mazurkas presented by Zhengshan (Kitty) Shi
[2021 Sep 15] Timbre as spectral envelope presented by Daniel Qin
[2021 Sep 8] Learn by Referencing: Towards Deep Metric Learning for Singing Assessment presented by Huan Zhang
[2021 Aug 25] AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer presented by Jingwei Zhao
[2021 Aug 11] TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music presented by Ke Chen
[2021 Aug 4] Symbolic Music Generation via Music Frameworks presented by Shuqi Dai
[2021 July 28] A Unified Model For Zero-shot Music Source Separation, Transcription and Synthesis presented by Liwei Lin and Qiuqiang Kong
[2021 Feb 24] Universality and Diversity in Human Song presented by Shuqi Dai
[2020 Dec 23] Small Tricks, Grand Design: Learning Interpretable Music Representations Using Inductive Bias presented by Gus Xia
[2020 Dec 16] Improved Handling of Repeats and Jumps in Audio-Sheet Image Synchronization presented by Mengyi Shan
[2020 Dec 9] Few-shot Drum Transcription in Polyphonic Music presented by Yu Wang
[2020 Dec 2] Generating Music with a Self-correcting Non-chronological Autoregressive Model presented by Wayne Chi and Prachi Kumar
[2020 Nov 18] Harmonic Profile Project — An online tool for 3D visualization and analysis of triadic harmony HPP demo on YouTube presented by Federico Garcia-De Castro
[2020 Nov 11] GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music High-resolution Piano Transcription with Pedals by Regressing Onsets and Offsets Times presented by Qiuqiang Kong
[2020 Sep 16] Automatic Detection of Hierarchical Structure and Influence of Structure on Melody, Harmony and Rhythm in Popular Music presented by Shuqi Dai
[2020 Sep 2] Automated Methods for Analyzing Music Recordings in Sonata Form SIARCT-CFP: Improving Precision and the Discovery of Inexact Musical Patterns in Point-Set Representations SE and SNL diagrams: Flexible data structures for MIR presented by Shuqi Dai
[2020 Aug 19] Visually Grounded Neural Syntax Acquisition presented by Haoyue Shi
[2020 Aug 12] Language Models are Few-Shot Learners discussion with researchers from NLP area
[2020 July 29] Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams presented by Roger B. Dannenberg
[2020 July 22] Generating Sentences by Editing Prototypes hosted by Shuqi Dai
[2020 July 8] Music transcription modelling and composition using deep learning presented by Shuqi Dai
[2020 July 1] MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment presented by Shuqi Dai
[2020 June 17] Learning Controllable Representation of Polyphonic Music presented by Ziyu Wang
[2020 June 10] MelNet: A Generative Model for Audio in the Frequency Domain presented by Zeyu Jin
[2020 June 3] Jukebox: A Generative Model for Music hosted by Shuqi Dai
[2020 May 27] Harmonic Analysis of Music Using Combinatory Categorial Grammar presented by Shuqi Dai
[2020 April 29] Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System presented by Gus Xia
[2020 April 22] Implicit Generation and Modeling with Energy-Based Models Generative Modeling by Estimating Gradients of the Data Distribution presented by Junyan Jiang
[2020 April 1] Deep Voice Conversion Chapter 4 Deep-VoCo: word synthesis based on deep neural networks presented by Zeyu Jin
[2020 March 25] Conditional Variational Autoencoders Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues presented by Ziyu Wang
[2020 March 18] Correlated Variational Auto-Encoders presented by Dawen Liang
[2020 March 11] Music Data Augmentation presented by Shuqi Dai
[2020 March 4] Deep Fragment Embeddings for Bidirectional Image Sentence Mapping presented by Gus Xia
[2020 Feb 26] Pattern Discovery and Music Similarity with Compositional Hierarchical Model A Compositional Hierarchical Model For Music Information Retrieval presented by Roger B. Dannenberg
[2019 Nov 21] Generating Structured Drum Pattern Using Variational Autoencoder and Self-Similarity Matrix presented by Junyan Jiang
[2019 Nov 14] Modeling Music Modality With A Key-Class Variant Pitch Chroma CNN presented by Shuqi Dai
[2019 Oct 31] David Cope: Music Style Representation from Computers and Musical Style presented by Shuqi Dai
[2019 Oct 24] Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks presented by Junyan Jiang
[2019 Oct 17] Rethinking Recurrent Latent Variable Model for Music Composition Pattern Discovery From Audio Recordings By Variable Markov Oracle: A Music Information Dynamics Approach presented by Roger B. Dannenberg
[2019 Oct 3] Adaptive Multimodal Music Learning via Interactive-haptic Instrument presented by the paper author Gus Xia
[2019 Sep 26] Music Evaluation Survey
Reference paper: On the Evaluation of Generative Models in Music
presented by Shuqi Dai
[2019 Sep 19] MidiMe: Personalizing MusicVAE presented by Shuqi Dai
[2019 April 24] Sampling Theory in Music Information Retrieval part 2 presented by Roger B. Dannenberg
[2019 April 17] Sampling Theory in Music Information Retrieval part 1 presented by Roger B. Dannenberg
[2019 April 10] Music Transformer: Generating Music With Long-Term Structure presented by Zheng Jiang
[2019 April 3] Reinforcement Learning in Automatic Music Generation - part 2
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
presented by Junyan Jiang
[2019 March 27] Reinforcement Learning in Automatic Music Generation - part 1
Tuning Recurrent Neural Networks With Reinforcement Learning
presented by Shuqi Dai