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Akira Maezawa
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2020 – today
- 2024
- [j4]Drew Edwards, Simon Dixon, Emmanouil Benetos, Akira Maezawa, Yuta Kusaka:
A Data-Driven Analysis of Robust Automatic Piano Transcription. IEEE Signal Process. Lett. 31: 681-685 (2024) - [c15]Yuta Kusaka, Akira Maezawa:
Mobile-AMT: Real-Time Polyphonic Piano Transcription for In-the-Wild Recordings. EUSIPCO 2024: 36-40 - [i2]Drew Edwards, Simon Dixon, Emmanouil Benetos, Akira Maezawa, Yuta Kusaka:
A Data-Driven Analysis of Robust Automatic Piano Transcription. CoRR abs/2402.01424 (2024) - 2023
- [c14]Alia Morsi, Kana Tatsumi, Akira Maezawa, Takuya Fujishima, Xavier Serra:
Sounds Out of Pläce? Score-Independent Detection of Conspicuous Mistakes in Piano Performances. ISMIR 2023: 352-358 - [i1]Yixiao Zhang, Akira Maezawa, Gus Xia, Kazuhiko Yamamoto, Simon Dixon:
Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing. CoRR abs/2310.12404 (2023)
2010 – 2019
- 2019
- [c13]Akira Maezawa:
Music Boundary Detection Based on a Hybrid Deep Model of Novelty, Homogeneity, Repetition and Duration. ICASSP 2019: 206-210 - [c12]Akira Maezawa, Kazuhiko Yamamoto, Takuya Fujishima:
Rendering Music Performance With Interpretation Variations Using Conditional Variational RNN. ISMIR 2019: 855-861 - 2018
- [c11]Bochen Li, Akira Maezawa, Zhiyao Duan:
Skeleton Plays Piano: Online Generation of Pianist Body Movements from MIDI Performance. ISMIR 2018: 218-224 - 2017
- [c10]Akira Maezawa, Kazuhiko Yamamoto:
MuEns: A Multimodal Human-Machine Music Ensemble for Live Concert Performance. CHI 2017: 4290-4301 - [c9]Luwei Yang, Akira Maezawa, Jordan B. L. Smith, Elaine Chew:
Probabilistic transcription of sung melody using a pitch dynamic model. ICASSP 2017: 301-305 - [c8]Akira Maezawa:
Fast and Accurate: Improving a Simple Beat Tracker with a Selectively-Applied Deep Beat Identification. ISMIR 2017: 309-315 - 2015
- [b1]Akira Maezawa:
Bayesian Music Alignment. Kyoto University, Japan, 2015 - [j3]Akira Maezawa, Hiroshi G. Okuno:
Bayesian Audio-to-Score Alignment Based on Joint Inference of Timbre, Volume, Tempo, and Note Onset Timings. Comput. Music. J. 39(1): 74-87 (2015) - [c7]Akira Maezawa, Katsutoshi Itoyama, Kazuyoshi Yoshii, Hiroshi G. Okuno:
Unified inter- and intra-recording duration model for multiple music audio alignment. WASPAA 2015: 1-5 - 2014
- [j2]Akira Maezawa, Katsutoshi Itoyama, Kazuyoshi Yoshii, Hiroshi G. Okuno:
Nonparametric Bayesian dereverberation of power spectrograms based on infinite-order autoregressive processes. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1918-1930 (2014) - [c6]Akira Maezawa, Hiroshi G. Okuno:
Audio part mixture alignment based on hierarchical nonparametric Bayesian model of musical audio sequence collection. ICASSP 2014: 5212-5216 - [c5]Akira Maezawa, Katsutoshi Itoyama, Kazuyoshi Yoshii, Hiroshi G. Okuno:
Bayesian Audio Alignment based on a Unified Model of Music Composition and Performance. ISMIR 2014: 233-238 - 2012
- [j1]Akira Maezawa, Katsutoshi Itoyama, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno:
Automated Violin Fingering Transcription Through Analysis of an Audio Recording. Comput. Music. J. 36(3): 57-72 (2012) - 2011
- [c4]Akira Maezawa, Hiroshi G. Okuno, Tetsuya Ogata, Masataka Goto:
Polyphonic audio-to-score alignment based on Bayesian Latent Harmonic Allocation Hidden Markov Model. ICASSP 2011: 185-188 - 2010
- [c3]Akira Maezawa, Katsutoshi Itoyama, Toru Takahashi, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno:
Violin Fingering Estimation Based on Violin Pedagogical Fingering Model Constrained by Bowed Sequence Estimation from Audio Input. IEA/AIE (3) 2010: 249-259 - [c2]Akira Maezawa, Masataka Goto, Hiroshi G. Okuno:
Query-by-conducting: An Interface to Retrieve Classical-music Interpretations by Real-time Tempo Input. ISMIR 2010: 477-482
2000 – 2009
- 2009
- [c1]Akira Maezawa, Katsutoshi Itoyama, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno:
Bowed String Sequence Estimation of a Violin Based on Adaptive Audio Signal Classification and Context-Dependent Error Correction. ISM 2009: 9-16
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