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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 overlap** in the frequency and time domains still …
representations. Concurrent notes overlap** in the frequency and time domains still …
Reliability and Validity of Research with Corpora of Music
A Marsden - 2022 - academic.oup.com
Corpus musicologists seek conclusions which are valid and applicable for demonstrably
abstract reasons. This chapter examines several aspects of reliability and validity in corpus …
abstract reasons. This chapter examines several aspects of reliability and validity in corpus …
Multitask Frequency-Time Feature-wise Linear Modulation for Piano Transcription with Pedal
Q Wang, M Liu, M Jia - IEEE Transactions on Audio, Speech …, 2025 - ieeexplore.ieee.org
The multitask learning method has been successfully applied to piano transcription. For the
multitask piano transcription methods, extracting the spectral and temporal information is still …
multitask piano transcription methods, extracting the spectral and temporal information is still …
Exploiting Piano Acoustics in Automatic Transcription
T Cheng - 2016 - qmro.qmul.ac.uk
In this thesis we exploit piano acoustics to automatically transcribe piano recordings into a
symbolic representation: the pitch and timing of each detected note. To do so we use …
symbolic representation: the pitch and timing of each detected note. To do so we use …
[PDF][PDF] Multimedia Research
S Latake - publisher.resbee.org
“In music, transcription is the practice of notating a piece or a sound which was previously
unnotated and/or unpopular as a written music”. An absolute transcription will be performed …
unnotated and/or unpopular as a written music”. An absolute transcription will be performed …
Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks
In this paper, we propose a robust multi-label classification system based on deep spiking
neural networks to handle multi-pitch estimation tasks. We employ constantQ transform …
neural networks to handle multi-pitch estimation tasks. We employ constantQ transform …