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End-to-End Singing Transcription Based on CTC and HSMM Decoding with a Refined Score Representation

APSIPA transactions on signal and information processing, 2024, Vol.13 (5)

2024

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Audio-to-score singing transcription based on a CRNN-HSMM hybrid model

APSIPA transactions on signal and information processing, 2021, Vol.10 (1)

2021

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Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms

Signals (Basel), 2021-09, Vol.2 (3), p.508-526

2021

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Pitch-Timbre Disentanglement Of Musical Instrument Sounds Based On Vae-Based Metric Learning

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.111-115

2021

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Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.1678-1691

2020

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End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism

2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019, p.26-30

2019

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Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer

2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019, p.160-164

2019

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Variational autoencoder–based neural electrocardiogram synthesis trained by FEM-based heart simulator

Cardiovascular digital health journal, 2024-02, Vol.5 (1), p.19-28

2024

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Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.161-165

2019

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Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.256-260

2021

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Unsupervised Melody Style Conversion

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.196-200

2019

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Probabilistic Sequential Patterns for Singing Transcription

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018, p.1905-1912

2018

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Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018, p.983-989

2018

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Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.456-460

2019

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Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.236-240

2019

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Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training

2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020, p.359-364

2020

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Outcome Related to Level of Targeted Temperature Management in Postcardiac Arrest Syndrome of Low, Moderate, and High Severities: A Nationwide Multicenter Prospective Registry

Critical care medicine, 2021-08, Vol.49 (8), p.e741-e750

2021

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Abstract 396: A Novel Machine Learning Approach for Identifying Subgroups With Differential Responses to Amiodarone in Patients With Cardiac Arrest With Shockable Rhythm

Circulation (New York, N.Y.), 2023-11, Vol.148 (Suppl_1)

2023

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Use of heated tobacco products, moderate alcohol drinking, and anti-SARS-CoV-2 IgG antibody titers after BNT162b2 vaccination among Japanese healthcare workers

Preventive medicine, 2022-08, Vol.161, p.107123-107123, Article 107123

2022

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Identifying Subgroups with Differential Responses to Amiodarone among Cardiac Arrest Patients with a Shockable Rhythm at Hospital Arrival using the Machine Learning Approach

Reviews in cardiovascular medicine, 2024-07, Vol.25 (7), p.268

2024

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The rCAST score is useful for estimating the neurological prognosis in pediatric patients with post-cardiac arrest syndrome before ICU admission: External validation study using a nationwide prospective registry

Resuscitation, 2021-11, Vol.168, p.103-109

2021

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Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out-of-Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry

Journal of the American Heart Association, 2022-06, Vol.11 (12), p.e025048-e025048

2022

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pT3 subclassification of renal pelvic cancer considering the tumor location improves the patients’ prognostic accuracy

Virchows Archiv : an international journal of pathology, 2021-06, Vol.478 (6), p.1089-1097

2021

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Instruments to assess post-intensive care syndrome assessment: a scoping review and modified Delphi method study

Critical care (London, England), 2023-11, Vol.27 (1), p.1-430, Article 430

2023

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The interplay between bystander cardiopulmonary resuscitation and ambient temperature on neurological outcome after cardiac arrest: A nationwide observational cohort study

Resuscitation, 2021-07, Vol.164, p.46-53

2021

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End-to-End Singing Transcription Based on CTC and HSMM Decoding with a Refined Score Representation

Audio-to-score singing transcription based on a CRNN-HSMM hybrid model

Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms

Pitch-Timbre Disentanglement Of Musical Instrument Sounds Based On Vae-Based Metric Learning

Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories

End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism

Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer

Variational autoencoder–based neural electrocardiogram synthesis trained by FEM-based heart simulator

Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism

Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model

Unsupervised Melody Style Conversion

Probabilistic Sequential Patterns for Singing Transcription

Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet

Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior

Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model

Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training

Outcome Related to Level of Targeted Temperature Management in Postcardiac Arrest Syndrome of Low, Moderate, and High Severities: A Nationwide Multicenter Prospective Registry

Abstract 396: A Novel Machine Learning Approach for Identifying Subgroups With Differential Responses to Amiodarone in Patients With Cardiac Arrest With Shockable Rhythm

Use of heated tobacco products, moderate alcohol drinking, and anti-SARS-CoV-2 IgG antibody titers after BNT162b2 vaccination among Japanese healthcare workers

Identifying Subgroups with Differential Responses to Amiodarone among Cardiac Arrest Patients with a Shockable Rhythm at Hospital Arrival using the Machine Learning Approach

The rCAST score is useful for estimating the neurological prognosis in pediatric patients with post-cardiac arrest syndrome before ICU admission: External validation study using a nationwide prospective registry

Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out-of-Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry

pT3 subclassification of renal pelvic cancer considering the tumor location improves the patients’ prognostic accuracy

Instruments to assess post-intensive care syndrome assessment: a scoping review and modified Delphi method study

The interplay between bystander cardiopulmonary resuscitation and ambient temperature on neurological outcome after cardiac arrest: A nationwide observational cohort study

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