Taketo Akama

34 papers A 1C 2Misc 3Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity.
CoRR
Shogo Noguchi, Taketo Akama, Tai Nakamura, Shun Minamikawa, Natalia Polouliakh
2026 J jnl
Interpretable and Perceptually-Aligned Music Similarity with Pretrained Embeddings.
CoRR
Arhan Vohra, Taketo Akama
2026 J jnl
PF-D2M: A Pose-free Diffusion Model for Universal Dance-to-Music Generation.
CoRR
Jaekwon Im, Natalia Polouliakh, Taketo Akama
2026 J jnl
Self-supervised restoration of singing voice degraded by pitch shifting using shallow diffusion.
CoRR
Yunyi Liu, Taketo Akama
2026 J jnl
Towards Realistic Synthetic Data for Automatic Drum Transcription.
CoRR
Pierfrancesco Melucci, Paolo Merialdo, Taketo Akama
2025 J jnl
Decoding Selective Auditory Attention to Musical Elements in Ecologically Valid Music Listening.
CoRR
Taketo Akama, Zhuohao Zhang, Tsukasa Nagashima, Takagi Yutaka, Shun Minamikawa, Natalia Polouliakh
2025 J jnl
Music Foundation Model as Generic Booster for Music Downstream Tasks.
Trans. Mach. Learn. Res.
Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji
2025 Misc conf
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models.
ICASSP
Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano, Akima Connelly, Emanuele Rodolà, Luca Cosmo, Taketo Akama
2025 J jnl
SSDLabeler: Realistic semi-synthetic data generation for multi-label artifact classification in EEG.
CoRR
Taketo Akama, Akima Connelly, Shun Minamikawa, Natalia Polouliakh
2024 J jnl
A Preliminary Investigation on Flexible Singing Voice Synthesis Through Decomposed Framework with Inferrable Features.
CoRR
Lester Phillip Violeta, Taketo Akama
2024 A conf
Annotation-Free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion.
ICME
Gakusei Sato, Taketo Akama
2024 J jnl
Annotation-Free MIDI-to-Audio Synthesis via Concatenative Synthesis and Generative Refinement.
CoRR
Osamu Take, Taketo Akama
2024 J jnl
HyperGANStrument: Instrument Sound Synthesis and Editing with Pitch-Invariant Hypernetworks.
CoRR
Zhe Zhang, Taketo Akama
2024 Misc conf
Hyperganstrument: Instrument Sound Synthesis and Editing With Pitch-Invariant Hypernetworks.
ICASSP
Zhe Zhang, Taketo Akama
2024 J jnl
Music Foundation Model as Generic Booster for Music Downstream Tasks.
CoRR
Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji
2024 — conf
Music Proofreading With RefinPaint: Where and How to Modify Compositions Given Context.
ISMIR
Pedro Ramoneda, Martín Rocamora, Taketo Akama
2024 J jnl
Music Proofreading with RefinPaint: Where and How to Modify Compositions given Context.
CoRR
Pedro Ramoneda, Martín Rocamora, Taketo Akama
2024 J jnl
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models.
CoRR
Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano, Akima Connelly, Emanuele Rodolà, Taketo Akama
2024 J jnl
Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings.
CoRR
Taketo Akama, Zhuohao Zhang, Pengcheng Li, Kotaro Hongo, Hiroaki Kitano, Shun Minamikawa, Natalia Polouliakh
2023 J jnl
Annotation-free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion.
CoRR
Gakusei Sato, Taketo Akama
2023 — conf
Automatic Piano Transcription With Hierarchical Frequency-Time Transformer.
ISMIR
Keisuke Toyama, Taketo Akama, Yukara Ikemiya, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji
2023 J jnl
Automatic Piano Transcription with Hierarchical Frequency-Time Transformer.
CoRR
Keisuke Toyama, Taketo Akama, Yukara Ikemiya, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji
2023 Misc conf
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-Invariant Instance Conditioning.
ICASSP
Gaku Narita, Junichi Shimizu, Taketo Akama
2023 J jnl
Self-supervised Auxiliary Loss for Metric Learning in Music Similarity-based Retrieval and Auto-tagging.
CoRR
Taketo Akama, Hiroaki Kitano, Katsuhiro Takematsu, Yasushi Miyajima, Natalia Polouliakh
2022 J jnl
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant Instance Conditioning.
CoRR
Gaku Narita, Junichi Shimizu, Taketo Akama
2021 — conf
A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence.
ISMIR
Taketo Akama
2021 J jnl
A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence.
CoRR
Taketo Akama
2021 — conf
Musical Duet Generation with Tree-Structured Variational Autoencoder.
AIMC
Adam Oudad, Taketo Akama, Hiroaki Saito
2020 — conf
Connective Fusion: Learning Transformational Joining of Sequences with Application to Melody Creation.
ISMIR
Taketo Akama
2019 — conf
Controlling Symbolic Music Generation based on Concept Learning from Domain Knowledge.
ISMIR
Taketo Akama
2019 — conf
Logical Problem Solving Framework.
ACIIDS (1)
Kiyoshi Akama, Ekawit Nantajeewarawat, Taketo Akama
2019 — conf
Term Rewriting that Preserves Models in KR-Logic.
ACIIDS (1)
Kiyoshi Akama, Ekawit Nantajeewarawat, Taketo Akama
2018 C conf
Computation Control by Prioritized ET Rules.
KEOD
Kiyoshi Akama, Ekawit Nantajeewarawat, Taketo Akama
2018 C conf
Side-Change Transformation.
KEOD
Kiyoshi Akama, Ekawit Nantajeewarawat, Taketo Akama