A Two-Stage Audio-Visual Fusion Piano Transcription Model Based on the Attention Mechanism
Y Li, X Wang, R Wu, W Xu… - IEEE/ACM Transactions …, 2024 - ieeexplore.ieee.org
Piano transcription is a significant problem in the field of music information retrieval, aiming
to obtain symbolic representations of music from captured audio or visual signals. Previous …
to obtain symbolic representations of music from captured audio or visual signals. Previous …
Harmonic-Aware Frequency and Time Attention for Automatic Piano Transcription
Q Wang, M Liu, C Bao, M Jia - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Automatic music transcription (AMT) is to transcribe music audio into note symbol
representations. Concurrent notes overlapping in the frequency and time domains still …
representations. Concurrent notes overlapping in the frequency and time domains still …
PiCoGen2: Piano cover generation with transfer learning approach and weakly aligned data
CP Tan, H Ai, YH Chang, SH Guan… - arXiv preprint arXiv …, 2024 - arxiv.org
Piano cover generation aims to create a piano cover from a pop song. Existing approaches
mainly employ supervised learning and the training demands strongly-aligned and paired …
mainly employ supervised learning and the training demands strongly-aligned and paired …
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation
Multi-instrument music transcription aims to convert polyphonic music recordings into
musical scores assigned to each instrument. This task is challenging for modeling as it …
musical scores assigned to each instrument. This task is challenging for modeling as it …
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 …
process in music education to create tailored curricula according to the individual needs of …
A Data-Driven Analysis of Robust Automatic Piano Transcription
Algorithms for automatic piano transcription have improved dramatically in recent years due
to new datasets and modeling techniques. Recent developments have focused primarily on …
to new datasets and modeling techniques. Recent developments have focused primarily on …
Scoring Intervals using Non-hierarchical Transformer For Automatic Piano Transcription
The neural semi-Markov Conditional Random Field (semi-CRF) framework has
demonstrated promise for event-based piano transcription. In this framework, all events …
demonstrated promise for event-based piano transcription. In this framework, all events …
PiCoGen: Generate Piano Covers with a Two-stage Approach
Cover song generation stands out as a popular way of music making in the music-creative
community. In this study, we introduce Piano Cover Generation (PiCoGen), a two-stage …
community. In this study, we introduce Piano Cover Generation (PiCoGen), a two-stage …
Toward Fully Self-Supervised Multi-Pitch Estimation
F Cwitkowitz, Z Duan - arXiv preprint arXiv:2402.15569, 2024 - arxiv.org
Multi-pitch estimation is a decades-long research problem involving the detection of pitch
activity associated with concurrent musical events within multi-instrument mixtures …
activity associated with concurrent musical events within multi-instrument mixtures …
Annotation-Free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion
G Sato, T Akama - arXiv preprint arXiv:2312.10402, 2023 - arxiv.org
Automatic Music Transcription (AMT) is a crucial technology in music information
processing. Despite recent improvements in performance through machine learning …
processing. Despite recent improvements in performance through machine learning …