Tootfinder

ACE-Step: A Step Towards Music Generation Foundation Model
Junmin Gong, Sean Zhao, Sen Wang, Shengyuan Xu, Joe Guo
https://arxiv.org/abs/2506.00045 https:/…

ACE-Step: A Step Towards Music Generation Foundation Model
We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic architectural design. Current methods face inherent trade-offs between generation speed, musical coherence, and controllability. For example, LLM-based models (e.g. Yue, SongGen) excel at lyric alignment but suffer from slow inference and structural artifacts. Diffusion models (e.g. DiffRhythm), on the…

Fighting Carpal Tunnel One Key at a Time
Juggling fireworks sales and dealing with carpal tunnel syndrome. I'm also exploring ergonomic keyboards and announcing a new music post series on Substack. Overall, just trying to balance work, health, and creativity!
https://www.bobmuellerwrit…

Fighting Carpal Tunnel One Key at a Time – Bob Mueller
This week: Talking about keyboard solutions for carpal tunnel, and announcing a new location for some musical posts.

The article points out that the rise on borrowing and visiting libraries in Denmark is an anomaly in Europe*, which is a pity. It also rightly identified that the number of events, reading groups and a good selection of books are key to get people into libraries. IMHO, the other important factor is the digital side. It's extremely easy to see what books are available and to order from libraries across the whole country on the bibliotek.dk website.
And once you're in the library to collect one thing, it's easy to pick up a few more...
*Citation needed
https://fediscience.org/@Ruth_Mottram/114946331036135197
Ruth_Mottram - Last year Danes borrowed 23.6 million paper books from public libraries, plus music, film, games digital loans, with 32.5 million in person library visits. It's increasing annually too.
I'm not surprised, Danish libraries are wonderful, everyone should have this.
https://www.dr.dk/nyheder/indland/bibliotekernes-udlaan-stiger-tredje-aar-i-traek-vi-elsker-laese-papirboeger

Euphonica is a Rust-Powered MPD Client Heavy on Bling
MPD (Music Player Daemon) is a server-client audio player long popular with Linux users. The headless daemon runs as a background service, typically on a remote audio server. Music is then accessed via a GUI client frontend, which connects to the MPD server to stream content.
🎶

Euphonica is a Rust-Powered MPD Client Heavy on Bling
Euphonica is a new Rust-based MPD frontend for Linux desktops, with 'bling' as a key feature. I showcase its design, features, and current development status.

This https://arxiv.org/abs/2403.03947 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Can Audio Reveal Music Performance Difficulty? Insights from the Piano Syllabus Dataset
Automatically estimating the performance difficulty of a music piece represents a key process in music education to create tailored curricula according to the individual needs of the students. Given its relevance, the Music Information Retrieval (MIR) field depicts some proof-of-concept works addressing this task that mainly focuses on high-level music abstractions such as machine-readable scores or music sheet images. In this regard, the potential of directly analyzing audio recordings has bee…

Moki Mcfly – Divin(e)tion: Music in the key of zero
https://www.clongclongmoo.org/2025/05/13/moki-mcfly-divinetion-music-in-the-key-of-zero/

Spanish Anthem but it's in a Minor Key
Parece el theme de un Boss de #castlevania 😂
https://youtube.com/watch?v=U0ZfLr7CpuU&si=Xjm-oW0WVeESuST6

Piano basics: the black notes - what are they for and how do you use them? https://www.musicradar.com/music-tech/keyb…

Piano basics: the black notes - what are they for and how do you use them?
Fear of a black key?… Don't be afraid. Adding flats and sharps to your music will give it a new lease of life.

DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling
Anindita Ghosh, Bing Zhou, Rishabh Dabral, Jian Wang, Vladislav Golyanik, Christian Theobalt, Philipp Slusallek, Chuan Guo
https://arxiv.org/abs/2506.18680

DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling
We present DuetGen, a novel framework for generating interactive two-person dances from music. The key challenge of this task lies in the inherent complexities of two-person dance interactions, where the partners need to synchronize both with each other and with the music. Inspired by the recent advances in motion synthesis, we propose a two-stage solution: encoding two-person motions into discrete tokens and then generating these tokens from music. To effectively capture intricate interactions…

AI Harmonizer: Expanding Vocal Expression with a Generative Neurosymbolic Music AI System
Lancelot Blanchard, Cameron Holt, Joseph A. Paradiso
https://arxiv.org/abs/2506.18143

AI Harmonizer: Expanding Vocal Expression with a Generative Neurosymbolic Music AI System
Vocals harmonizers are powerful tools to help solo vocalists enrich their melodies with harmonically supportive voices. These tools exist in various forms, from commercially available pedals and software to custom-built systems, each employing different methods to generate harmonies. Traditional harmonizers often require users to manually specify a key or tonal center, while others allow pitch selection via an external keyboard-both approaches demanding some degree of musical expertise. The AI …

SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning
Anuradha Chopra, Abhinaba Roy, Dorien Herremans
https://arxiv.org/abs/2506.15154 http…

SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning
Detailed captions that accurately reflect the characteristics of a music piece can enrich music databases and drive forward research in music AI. This paper introduces a multi-task music captioning model, SonicVerse, that integrates caption generation with auxiliary music feature detection tasks such as key detection, vocals detection, and more, so as to directly capture both low-level acoustic details as well as high-level musical attributes. The key contribution is a projection-based architec…

MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners
Fang-Duo Tsai, Shih-Lun Wu, Weijaw Lee, Sheng-Ping Yang, Bo-Rui Chen, Hao-Chung Cheng, Yi-Hsuan Yang
https://arxiv.org/abs/2506.18729

MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners
We propose MuseControlLite, a lightweight mechanism designed to fine-tune text-to-music generation models for precise conditioning using various time-varying musical attributes and reference audio signals. The key finding is that positional embeddings, which have been seldom used by text-to-music generation models in the conditioner for text conditions, are critical when the condition of interest is a function of time. Using melody control as an example, our experiments show that simply adding …

New preprint "Survey on the Evaluation of Generative Models in Music:" https://arxiv.org/abs/2506.05104
Despite the rapid progress in generative music models, evaluating these systems remains a major challenge. In this survey, we:
✅ Outline key evaluation targets
✅ Compare methodolog…

Survey on the Evaluation of Generative Models in Music
Research on generative systems in music has seen considerable attention and growth in recent years. A variety of attempts have been made to systematically evaluate such systems. We provide an interdisciplinary review of the common evaluation targets, methodologies, and metrics for the evaluation of both system output and model usability, covering subjective and objective approaches, qualitative and quantitative approaches, as well as empirical and computational methods. We discuss the advantage…

Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription
Anna Hamberger, Sebastian Murgul, Jochen Schmidt, Michael Heizmann
https://arxiv.org/abs/2506.14223

Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription
Music transcription plays a pivotal role in Music Information Retrieval (MIR), particularly for stringed instruments like the guitar, where symbolic music notations such as MIDI lack crucial playability information. This contribution introduces the Fretting-Transformer, an encoderdecoder model that utilizes a T5 transformer architecture to automate the transcription of MIDI sequences into guitar tablature. By framing the task as a symbolic translation problem, the model addresses key challenges…

MOSPA: Human Motion Generation Driven by Spatial Audio
Shuyang Xu, Zhiyang Dou, Mingyi Shi, Liang Pan, Leo Ho, Jingbo Wang, Yuan Liu, Cheng Lin, Yuexin Ma, Wenping Wang, Taku Komura
https://arxiv.org/abs/2507.11949

MOSPA: Human Motion Generation Driven by Spatial Audio
Enabling virtual humans to dynamically and realistically respond to diverse auditory stimuli remains a key challenge in character animation, demanding the integration of perceptual modeling and motion synthesis. Despite its significance, this task remains largely unexplored. Most previous works have primarily focused on mapping modalities like speech, audio, and music to generate human motion. As of yet, these models typically overlook the impact of spatial features encoded in spatial audio sig…

This https://arxiv.org/abs/2505.20552 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Effect of laboratory conditions on the perception of virtual stages for music
This manuscript presents initial findings critical for supporting augmented acoustics experiments in custom-made hearing booths, addressing a key challenge in ensuring perceptual validity and experimental rigor in these highly sensitive setups. This validation ensures our proposed methodology is sound, guarantees the reliability of future results, and lays the foundational groundwork for subsequent perceptual studies and the development of robust guidelines for laboratory design in virtual acou…

Sample-Constrained Black Box Optimization for Audio Personalization
Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
https://arxiv.org/abs/2507.12773

Sample-Constrained Black Box Optimization for Audio Personalization
We consider the problem of personalizing audio to maximize user experience. Briefly, we aim to find a filter $h^*$, which applied to any music or speech, will maximize the user's satisfaction. This is a black-box optimization problem since the user's satisfaction function is unknown. Substantive work has been done on this topic where the key idea is to play audio samples to the user, each shaped by a different filter $h_i$, and query the user for their satisfaction scores $f(h_i)$. A family of …