Search Results - "Fukayama, Satoru"

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  1. 1

    AutoGuitarTab: Computer-Aided Composition of Rhythm and Lead Guitar Parts in the Tablature Space by McVicar, Matt, Fukayama, Satoru, Goto, Masataka

    “…We present AutoGuitarTab, a system for generating realistic guitar tablature given an input symbolic chord and key sequence. Our system consists of two…”
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    Journal Article
  2. 2

    Adaptive aggregation of regression models for music emotion recognition by Fukayama, Satoru, Goto, Masataka

    “…We present a method for music emotion recognition which adaptively aggregates regression models. Music emotion recognition is a task to estimate how music…”
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    Journal Article
  3. 3

    SingDistVis: interactive Overview+Detail visualization for F0 trajectories of numerous singers singing the same song by Itoh, Takayuki, Nakano, Tomoyasu, Fukayama, Satoru, Hamasaki, Masahiro, Goto, Masataka

    Published in Multimedia tools and applications (10-04-2024)
    “…Abstract This paper describes SingDistVis, an information visualization technique for fundamental frequency (F0) trajectories of large-scale singing data where…”
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    Journal Article
  4. 4

    jaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus by Nakamura, Tomohiko, Takamichi, Shinnosuke, Tanji, Naoko, Fukayama, Satoru, Saruwatari, Hiroshi

    “…We construct a corpus of Japanese a cappella vocal ensembles (ja-Cappella corpus) for vocal ensemble separation and synthesis. It consists of 35…”
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    Conference Proceeding
  5. 5

    Singer Diarization for Polyphonic Music With Unison Singing by Suda, Hitoshi, Saito, Daisuke, Fukayama, Satoru, Nakano, Tomoyasu, Goto, Masataka

    “…This paper introduces a new framework for singer diarization, which is a technique to reveal who sings when in songs with multiple singers. Although various…”
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    Journal Article
  6. 6

    Audio–visual object removal in 360-degree videos by Shimamura, Ryo, Feng, Qi, Koyama, Yuki, Nakatsuka, Takayuki, Fukayama, Satoru, Hamasaki, Masahiro, Goto, Masataka, Morishima, Shigeo

    Published in The Visual computer (01-10-2020)
    “…We present a novel concept audio–visual object removal in 360-degree videos, in which a target object in a 360-degree video is removed in both the visual and…”
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    Journal Article
  7. 7

    Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism by Nishikimi, Ryo, Nakamura, Eita, Fukayama, Satoru, Goto, Masataka, Yoshii, Kazuyoshi

    “…This paper describes neural singing transcription that estimates a sequence of musical notes directly from the audio signal of singing voice in an end-to-end…”
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    Conference Proceeding
  8. 8

    Music emotion recognition with adaptive aggregation of Gaussian process regressors by Fukayama, Satoru, Goto, Masataka

    “…This paper describes a novel method for estimating the emotions elicited by a piece of music from its acoustic signals. Previous research in this field has…”
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    Conference Proceeding Journal Article
  9. 9

    Automatic melody harmonization with triad chords: A comparative study by Yeh, Yin-Cheng, Hsiao, Wen-Yi, Fukayama, Satoru, Kitahara, Tetsuro, Genchel, Benjamin, Liu, Hao-Min, Dong, Hao-Wen, Chen, Yian, Leong, Terence, Yang, Yi-Hsuan

    Published in Journal of new music research (01-01-2021)
    “…The task of automatic melody harmonization aims to build a model that generates a chord sequence as the harmonic accompaniment of a given multiple-bar melody…”
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    Journal Article
  10. 10

    Transdrums: A Drum Pattern Transfer System Preserving Global Pattern Structure by Sawada, Shun, Fukayama, Satoru, Goto, Masataka, Hirata, Keiji

    “…This paper presents TransDrums, which is a system that transfers drum patterns from a drum-pattern-source song (D-song) to a base song (B-song) and synthesizes…”
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    Conference Proceeding
  11. 11

    Melody Harmonization With Interpolated Probabilistic Models by Raczyński, Stanisław A., Fukayama, Satoru, Vincent, Emmanuel

    Published in Journal of new music research (01-09-2013)
    “…Most melody harmonization systems use the generative hidden Markov model (HMM), which model the relation between the hidden chords and the observed melody…”
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    Journal Article
  12. 12

    Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model by Shibata, Kentaro, Nishikimi, Ryo, Fukayama, Satoru, Goto, Masataka, Nakamura, Eita, Itoyama, Katsutoshi, Yoshii, Kazuyoshi

    “…This paper describes a statistical method for estimating musical scores for lead, bass, and rhythm guitars from polyphonic audio signals of typical band-style…”
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    Conference Proceeding
  13. 13

    The CrossSong Puzzle: Developing a Logic Puzzle for Musical Thinking by Smith, Jordan B.L., Kato, Jun, Fukayama, Satoru, Percival, Graham, Goto, Masataka

    Published in Journal of new music research (03-07-2017)
    “…There is considerable interest in music-based games and apps. However, in existing games, music generally serves as an accompaniment or as a reward for…”
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    Journal Article
  14. 14

    FruitsMusic: A Real-World Corpus of Japanese Idol-Group Songs by Suda, Hitoshi, Yoshida, Shunsuke, Nakamura, Tomohiko, Fukayama, Satoru, Ogata, Jun

    Published 19-09-2024
    “…This study presents FruitsMusic, a metadata corpus of Japanese idol-group songs in the real world, precisely annotated with who sings what and when. Japanese…”
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    Journal Article
  15. 15

    Hyperbolic Timbre Embedding for Musical Instrument Sound Synthesis Based on Variational Autoencoders by Nakashima, Futa, Nakamura, Tomohiko, Takamune, Norihiro, Fukayama, Satoru, Saruwatari, Hiroshi

    “…In this paper, we propose a musical instrument sound synthesis (MISS) method based on a variational autoencoder (VAE) that has a hierarchy-inducing latent…”
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    Conference Proceeding
  16. 16

    JaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus by Nakamura, Tomohiko, Takamichi, Shinnosuke, Tanji, Naoko, Fukayama, Satoru, Saruwatari, Hiroshi

    Published 24-02-2023
    “…IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Jun. 2023, 5 pages We construct a corpus of Japanese a cappella vocal…”
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    Journal Article
  17. 17

    Hyperbolic Timbre Embedding for Musical Instrument Sound Synthesis Based on Variational Autoencoders by Nakashima, Futa, Nakamura, Tomohiko, Takamune, Norihiro, Fukayama, Satoru, Saruwatari, Hiroshi

    Published 27-09-2022
    “…2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference In this paper, we propose a musical instrument sound synthesis…”
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    Journal Article
  18. 18

    Self-Supervised Speech Representations are More Phonetic than Semantic by Choi, Kwanghee, Pasad, Ankita, Nakamura, Tomohiko, Fukayama, Satoru, Livescu, Karen, Watanabe, Shinji

    Published 12-06-2024
    “…Self-supervised speech models (S3Ms) have become an effective backbone for speech applications. Various analyses suggest that S3Ms encode linguistic…”
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    Journal Article
  19. 19

    Convolving Gaussian Kernels for RNN-Based Beat Tracking by Cheng, Tian, Fukayama, Satoru, Goto, Masataka

    “…Because of an ability of modelling context information, Recurrent Neural Networks (RNNs) or bi-directional RNNs (BRNNs) have been used for beat tracking with…”
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    Conference Proceeding
  20. 20

    AutoLeadGuitar: Automatic generation of guitar solo phrases in the tablature space by McVicar, Matt, Fukayama, Satoru, Goto, Masataka

    “…We present AutoLeadGuitar, a system for automatically generating guitar solo tablatures from an input chord and key sequence. Our system generates solos in…”
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    Conference Proceeding