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On the Potential of Simple Framewise Approaches to Piano Transcription

On the Potential of Simple Framewise Approaches to Piano Transcription

15 December 2016
Rainer Kelz
Matthias Dorfer
Filip Korzeniowski
Sebastian Böck
A. Arzt
Gerhard Widmer
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Papers citing "On the Potential of Simple Framewise Approaches to Piano Transcription"

18 / 18 papers shown
Title
Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform
Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform
Yohannis Telila
Tommaso Cucinotta
D. Bacciu
ViT
36
0
0
07 May 2025
Machine Learning Techniques in Automatic Music Transcription: A
  Systematic Survey
Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey
Fatemeh Jamshidi
Gary Pike
Amit Das
Richard Chapman
37
3
0
20 Jun 2024
A Real-Time Lyrics Alignment System Using Chroma And Phonetic Features
  For Classical Vocal Performance
A Real-Time Lyrics Alignment System Using Chroma And Phonetic Features For Classical Vocal Performance
Jiyun Park
Sangeon Yong
Taegyun Kwon
Juhan Nam
31
1
0
17 Jan 2024
A Phoneme-Informed Neural Network Model for Note-Level Singing
  Transcription
A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription
Sangeon Yong
Li Su
Juhan Nam
17
9
0
12 Apr 2023
Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond
Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond
Michael Krause
Christof Weiss
Meinard Muller
18
8
0
11 Apr 2023
From Audio to Symbolic Encoding
From Audio to Symbolic Encoding
Shenli Yuan
Lingjie Kong
Jiushuang Guo
4
0
0
26 Feb 2023
towards automatic transcription of polyphonic electric guitar music:a
  new dataset and a multi-loss transformer model
towards automatic transcription of polyphonic electric guitar music:a new dataset and a multi-loss transformer model
Yu-Hua Chen
Wen-Yi Hsiao
Tsu-Kuang Hsieh
J. Jang
Yi-Hsuan Yang
47
17
0
20 Feb 2022
Polyphonic pitch detection with convolutional recurrent neural networks
Polyphonic pitch detection with convolutional recurrent neural networks
Carl Thomé
Sven Ahlback
25
8
0
04 Feb 2022
Learning Sparse Analytic Filters for Piano Transcription
Learning Sparse Analytic Filters for Piano Transcription
Frank Cwitkowitz
M. Heydari
Z. Duan
27
2
0
23 Aug 2021
The impact of Audio input representations on neural network based music
  transcription
The impact of Audio input representations on neural network based music transcription
K. Cheuk
Kat R. Agres
Dorien Herremans
19
17
0
25 Jan 2020
A holistic approach to polyphonic music transcription with neural
  networks
A holistic approach to polyphonic music transcription with neural networks
Miguel A. Román
A. Pertusa
Jorge Calvo-Zaragoza
16
29
0
26 Oct 2019
Musical Rhythm Transcription Based on Bayesian Piece-Specific Score
  Models Capturing Repetitions
Musical Rhythm Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions
Eita Nakamura
Kazuyoshi Yoshii
11
1
0
18 Aug 2019
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music
  Retrieval
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval
S. Balke
Matthias Dorfer
Luis Carvalho
A. Arzt
Gerhard Widmer
11
11
0
26 Jun 2019
Evaluating Non-aligned Musical Score Transcriptions with MV2H
Evaluating Non-aligned Musical Score Transcriptions with MV2H
Andrew Mcleod
11
4
0
03 Jun 2019
Investigating Label Noise Sensitivity of Convolutional Neural Networks
  for Fine Grained Audio Signal Labelling
Investigating Label Noise Sensitivity of Convolutional Neural Networks for Fine Grained Audio Signal Labelling
Rainer Kelz
Gerhard Widmer
NoLa
9
4
0
28 May 2018
Audio-to-score alignment of piano music using RNN-based automatic music
  transcription
Audio-to-score alignment of piano music using RNN-based automatic music transcription
Taegyun Kwon
Dasaem Jeong
Juhan Nam
14
20
0
13 Nov 2017
Learning Audio - Sheet Music Correspondences for Score Identification
  and Offline Alignment
Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment
Matthias Dorfer
A. Arzt
Gerhard Widmer
33
43
0
31 Jul 2017
Learning Features of Music from Scratch
Learning Features of Music from Scratch
John Thickstun
Zaïd Harchaoui
Sham Kakade
22
199
0
29 Nov 2016
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