Awards - SAKO Shinji
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Best Presentation Award: Best New Direction Category
2024.08 Information Processing Society of Japan Dynamics Restoration for "Loud" Popular Music
Keita Kawachi, Shinji Sako
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
In recent years, the proliferation of music distribution services has markedly enhanced the accessibility of music. Conversely, music listening is often a passive activity, consumed as background music. This has led to a perceived decline in opportunities for deep appreciation of music. Accordingly, this study posits that verbalizing and explaining music is an effective method to facilitate listeners' comprehension of music and enhance the value of their musical experience. The verbalization of music has been the subject of considerable recent study as a music captioning task, defined as a task to describe information about music in the form of natural language sentences. Prior research has concentrated on the generation of musical descriptions based solely on acoustic data. In this study, we sought to generate review sentences of songs by focusing on lyrics in addition to acoustic information. Specifically, MU-LLaMA, which generates music descriptions using a musical feature extractor and a large-scale language model (LLM), was used as the baseline model. Additionally, review text generation that also takes lyrics into account was achieved by designing system prompts that provide instructions to LLaMA in advance. Furthermore, through three evaluation experiments, it was confirmed that the proposed method is more effective than conventional methods in terms of diversity of expression and image formation of music.
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2023.12 The Institute of Electronics, Information and Communication Engineers, Well-begin Infromation Technology Proposal for Music Visualization Method Using Chironomie for Enhancing Musical Experience of the Hearing Impaired
Kana Tatsumi, Shinji Sako
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
The aim of this study is to enable both hearing-impaired and normal-hearing to enjoy music together by visualizing it using Chironomie which is Gregorian chant conducting. To achieve this goal, the tasks include adapting Chironomie to Western music to express intuitively perceivable musical features like tension and relaxation. Additionally, evaluating whether Chironomie can effectively convey music visually. This report focuses on the investigation of a method for automatically estimating Arsis and Thesis for complex beats to generate Chironomie, and the presentation of the results of an evaluation experiment involving normal-hearing to assess the utility of Chironomie.
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Best Presentation Award, The Tokai Chapter of Acoustical Society of Japan
2023.12 The Tokai Chapter of Acoustical Society of Japan A study on music visualization based on Chironomie
Kana Tatsumi
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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第27回東海地区音声関連研究室修士論文中間発表会総合3位
2023.08 静岡大学 Chironomieに準ずる旋律線による音楽の可視化
辰巳 花菜
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Best Presentation Award, The Tokai Chapter of Acoustical Society of Japan
2021.12 The Tokai Chapter of Acoustical Society of Japan Dynamics Restoration for "Loud" Popular Music
Hyuga Ozeki
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Student Encouraging Award
2021.09 Information Processing Society of Japan Dynamics Restoration for "Loud" Popular Music
Hyuga Ozeki, Shinji Sako
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Japan Society for Fuzzy Theory and Intelligent Informatics Best Paper Award
2017.09 Japan Society for Fuzzy Theory and Intelligent Informatics Automatic Performance Rendering Method for Keyboard Instruments based on Statistical Model that Associates Performance Expression and Musical Notation
Kenta Okumura, Shinji Sako, Tadashi Kitamura
Award type：Honored in official journal of a scientific society, scientific journal Country：Japan
This paper proposes a method for the automatic rendition of performances without losing any characteristics of the specific performer. In many of existing methods, users are required to input expertise such as possessed by the performer. Although they are useful in support of users'own performances, they are not suitable for the purpose of this proposal. The proposed method defines a model that associates the feature quantities of expression extracted from the case of actual performance with its directions that can be surely retrieved from musical score without using expertise. By classifying expressive tendency of the expression of the model for each case of performance using the criteria based on score directions, the rules that elucidate the causal relationship between the performer's specific performance expression and the score directions systematically can be structured. The candidates of the performance cases corresponding to the unseen score directions is obtained by tracing this structure. Dynamic programming is applied to solve the problem of searching the sequence of performance cases with the optimal expression from among these candidates. Objective evaluations indicated that the proposed method is able to efficiently render optimal performances. From subjective evaluations, the quality of rendered expression by the proposed method was confirmed. It was also shown that the characteristics of the performer could be reproduced even in various compositions. Furthermore, performances rendered via the proposed method have won the first prize in the autonomous section of a performance rendering contest for computer systems.
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IPSJ Yamashita SIG Research Award
2016.03 Information Processing Society of Japan A study of comparative analysis of music performances based on the statistical model that associates expression and notation
Kenta Okumura, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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78th National Convention of IPSJ, Student Encouragement Award
2016.03 Information Processing Society of Japan A case-based approach to the melody transformation for automatic jazz arrangement
Naoto Sato, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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学会活動貢献賞
2014.03 日本音響学会東海支部
酒向 慎司
Country：Japan
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76th National Convention of IPSJ, Student Encouragement Award
2014.03 Information Processing Society of Japan Automatic Accompaniment Generation Reflecting Musical Expression of Melody
Kana Miyata, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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76th National Convention of IPSJ, Student Encouragement Award
2014.03 Information Processing Society of Japan Music retrieval system for any words using impression space: Improvement of mapping words and reconstruction of evaluation
Ai Zukawa, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Acoustical Society of Japan, Tokai Buranchi, Best Presentation Award
2013.09 Acoustical Society of Japan Audio to Score Alignment using Semi-Markov Conditional Random Fields
Ryuichi Yamamoto, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Forum on Information Technology Encouragement Award 2013
2013.09 Information Processing Society of Japan Statistical Modeling and Parameter Learning for Violin Fingering Estimation Corresponding to Skill Level
Nagata Wakana, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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IPSJ Tokai Buranchi, Student Paper Encouragement Award
2013.05 Information Processing Society of Japan, Tokai Buranchi Stochastic Modeling of the Expressive Musical Performance of the Keyboard Instrument Using Information of the Score
Kenta Okumura, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
This paper presents a method for describing the characteristics of human musical performance. We consider the problem of building models that express the ways in which deviations from a strict interpretations of the score occurs in the performance, and that cluster these deviations automatically. The clustering process is performed using expressive representations unambiguously notated on the musical score, without any arbitrariness by the human observer. The result of clustering is obtained as hierarchical tree structures for each deviational factor that occurred during the operation of the instrument. This structure represents an approximation of the performer's interpretation with information notated on the score they used during the performance. Through validations of applying the method to the data measured from real performances, we show that the use of information regarding expressive representation on the musical score enables the efficient estimation of generative-model for the musical performance. In addition, this method is also useful for objective proof of the existing knowledge about the musical performance by information to support such a knowledge having been shown from our model.
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Tokai-Section Joint Conference on Electrical and Related Engineering, Encouragement Award
2013.01 Tokai-Section Joint Conference on Electrical and Related Engineering Violin Fingering Estimation based on Hidden Markov Models
Wakana Nagata, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Acoustical Society of Japan, Tokai Buranchi, Best Presentation Award
2012.12 Acoustical Society of Japan, Tokai Buranchi
Ryuichi Yamamoto, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Human Communication Group Award
2011.12 Institute of Electronics, Information and Communication Engineers Improvement of HMM-based Sign Language Recognition using Phonemic Structure of Japanese Sign Language
Shinji Sako, Koki Ariga, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
We work on automatic Japanese sign Language (JSL) recognition using Hidden Markov Model (HMM). An important issue for modeling sign is that how to determine the constituent element of sign (i.e., subunit) like "phoneme" in spoken language. We focused on special feature of sign language that JSL is composed of three types of phonological elements which is hand local information, position, and movement. In this report, we propose an efficiently method of generating subunit using multi-stream HMM which is correspond to phonological elements. An isolated 100/307 words recognition experiment has confirmed the effectiveness of our proposed method.
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Acoustical Society of Japan, Tokai Buranchi, Best Presentation Award
2010.12 Acoustical Society of Japan, Tokai Buranchi
Keiichiro Nishio, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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IPSJ Yamashita SIG Research Award
2010.03 Information Processing Society of Japan Orpheus : A System for Prosody-based Automatic Song Composition from the Lyrics
Satoru Fukayama, Kei Nakastuma, Shinji Sako, Takuya Nishimoto, Shigeki Sagayama
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
In this paper, we discuss a new algorithm for automatic song composition and introduce our new composition system named "Orpheus". We show that composing melody on Japanease lyrics can be done automatically by considering musical composition task as an optimal-path search problem under constraints of the upward and downward pitch motions given from the prosody of the lyrics. Valuation on the results generated by "Orpheus" by a musical composer is also reported, which indicates that our new system can compose a song with a proper degree of musicality.
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National Convention of IPSJ, Student Encouragement Award
2010.03 Information Processing Society of Japan
Rio Mizuno, Shinji Sako, Tadashi Kitamura
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Acoustical Society of Japan, Tokai Buranchi, Best Presentation Award
2009.12 Acoustical Society of Japan, Tokai Buranchi Modeling and Anomaly Detection of Environmental Electromagnetic Waves Based on Patterns of Diurnal Change using HMM
Yuya Takase, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Acoustical Society of Japan, Tokai Buranchi, Best Presentation Award
2009.12 Acoustical Society of Japan, Tokai Buranchi
Rio Mizuno, Shinji Sako, Tadashi Kitamura
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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SIG-MUS Best Presentation Award
2008.08 Information Processing Society of Japan Orpheus : A System for Prosody-based Automatic Song Composition from the Lyrics
Satoru Fukayama, Kei Nakastuma, Shinji Sako, Takuya Nishimoto, Shigeki Sagayama
Award type：Award from international society, conference, symposium, etc. Country：Japan
In this paper, we discuss a new algorithm for automatic song composition and introduce our new composition system named "Orpheus". We show that composing melody on Japanease lyrics can be done automatically by considering musical composition task as an optimal-path search problem under constraints of the upward and downward pitch motions given from the prosody of the lyrics. Valuation on the results generated by "Orpheus" by a musical composer is also reported, which indicates that our new system can compose a song with a proper degree of musicality.
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