:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Marták, Lukáš Samuel, Hu, Patricia, Widmer, Gerhard
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Sound Machine Learning
Accesso online:	https://arxiv.org/abs/2512.14602
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Quantifying the Corpus Bias Problem in Automatic Music Transcription Systems
di: Marták, Lukáš Samuel, et al.
Pubblicazione: (2024)

Towards Musically Informed Evaluation of Piano Transcription Models
di: Hu, Patricia, et al.
Pubblicazione: (2024)

A Study on the Data Distribution Gap in Music Emotion Recognition
di: Ching, Joann, et al.
Pubblicazione: (2025)

Music Transcription with (Almost) No Supervision
di: Shin, Saebyeol, et al.
Pubblicazione: (2026)

Music Boomerang: Reusing Diffusion Models for Data Augmentation and Audio Manipulation
di: Fichtinger, Alexander, et al.
Pubblicazione: (2025)

Perception-Inspired Graph Convolution for Music Understanding Tasks
di: Karystinaios, Emmanouil, et al.
Pubblicazione: (2024)

Exploring System Adaptations For Minimum Latency Real-Time Piano Transcription
di: Hu, Patricia, et al.
Pubblicazione: (2025)

Count The Notes: Histogram-Based Supervision for Automatic Music Transcription
di: Yaffe, Jonathan, et al.
Pubblicazione: (2025)

Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey
di: Jamshidi, Fatemeh, et al.
Pubblicazione: (2024)

Musical Attention Transformer: Music Generation Using a Music-Specific Attention Model
di: Taksuka, Shinnosuke, et al.
Pubblicazione: (2026)

Multi-Stage Music Source Restoration with BandSplit-RoFormer Separation and HiFi++ GAN
di: Morocutti, Tobias, et al.
Pubblicazione: (2026)

Rethinking Music Captioning with Music Metadata LLMs
di: Bukey, Irmak, et al.
Pubblicazione: (2026)

AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Model
di: Komiya, Kazuma, et al.
Pubblicazione: (2024)

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription
di: Cwitkowitz, Frank, et al.
Pubblicazione: (2023)

Detecting Musical Deepfakes
di: Sunday, Nick
Pubblicazione: (2025)

Source Separation for A Cappella Music
di: Lanzendörfer, Luca A., et al.
Pubblicazione: (2025)

Live Music Models
di: Lyria Team, et al.
Pubblicazione: (2025)

ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
di: Ni-Hahn, Stephen, et al.
Pubblicazione: (2025)

Integrating Text-to-Music Models with Language Models: Composing Long Structured Music Pieces
di: Atassi, Lilac
Pubblicazione: (2024)

Constructing Composite Features for Interpretable Music-Tagging
di: Xue, Chenhao, et al.
Pubblicazione: (2026)

Depth-Structured Music Recurrence: Budgeted Recurrent Attention for Full-Piece Symbolic Music Modeling
di: Yi, Yungang, et al.
Pubblicazione: (2026)

Survey on the Evaluation of Generative Models in Music
di: Lerch, Alexander, et al.
Pubblicazione: (2025)

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection
di: Chang, Sungkyun, et al.
Pubblicazione: (2025)

MusicRL: Aligning Music Generation to Human Preferences
di: Cideron, Geoffrey, et al.
Pubblicazione: (2024)

DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability
di: Cheuk, Kin Wai, et al.
Pubblicazione: (2022)

Exploring Performance-Complexity Trade-Offs in Sound Event Detection Models
di: Morocutti, Tobias, et al.
Pubblicazione: (2025)

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis
di: Marmoret, Axel
Pubblicazione: (2026)

Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound
di: Tjandra, Andros, et al.
Pubblicazione: (2025)

Investigating Modality Contribution in Audio LLMs for Music
di: Morais, Giovana, et al.
Pubblicazione: (2025)

Music Foundation Model as Generic Booster for Music Downstream Tasks
di: Liao, WeiHsiang, et al.
Pubblicazione: (2024)

Benchmarking Music Generation Models and Metrics via Human Preference Studies
di: Grötschla, Florian, et al.
Pubblicazione: (2025)

AI-Assisted Music Production: A User Study on Text-to-Music Models
di: Ronchini, Francesca, et al.
Pubblicazione: (2025)

Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform
di: Telila, Yohannis, et al.
Pubblicazione: (2025)

YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation
di: Chang, Sungkyun, et al.
Pubblicazione: (2024)

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds
di: Chang, Andrew, et al.
Pubblicazione: (2025)

Universal Music Representations? Evaluating Foundation Models on World Music Corpora
di: Papaioannou, Charilaos, et al.
Pubblicazione: (2025)

Probabilistic Multilabel Graphical Modelling of Motif Transformations in Symbolic Music
di: Taieb, Ron, et al.
Pubblicazione: (2026)

Music Genre Classification Using Machine Learning Techniques
di: Mishra, Alokit, et al.
Pubblicazione: (2025)

Bangla Music Genre Classification Using Bidirectional LSTMS
di: Rahaman, Muntakimur, et al.
Pubblicazione: (2026)

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators
di: Novack, Zachary, et al.
Pubblicazione: (2026)