Harmony in Design: A Synthesis of Literature from Classical Philosophy, the Sciences, Economics, and Design

Lomas, Derek; Xue, Haian

doi:10.1016/j.sheji.2022.01.001

Cited by 13 publications

(8 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The LSTM network uses activation values other than Candidate values (C). This LSTM network has two outputs, namely the current value of the memory cell (𝐶𝐶 <𝑡𝑡> ), and the output value or hidden state (𝑎𝑎 <𝑡𝑡> ), which is defined according to equations (1) and (2).…”

Section: Bidirectional Lstm (Bilstm)mentioning

confidence: 99%

See 1 more Smart Citation

Automatic note generator for Javanese gamelan music accompaniment using deep learning

Kurniawati,

Yuniarno,

Suprapto

et al. 2023

Int. J. Adv. Intell. Informatics

View full text Add to dashboard Cite

Javanese gamelan is a traditional form of music from Indonesia with a variety of styles and patterns. One of these patterns is the harmony music of the Bonang Barung and Bonang Penerus instruments. When playing gamelan, the resulting patterns can vary based on the music’s rhythm or dynamics, which can be challenging for novice players unfamiliar with the gamelan rules and notation system, which only provides melodic notes. Unlike in modern music, where harmony notes are often the same for all instruments, harmony music in Javanese gamelan is vital in establishing the character of a song. With technological advancements, musical composition can be generated automatically without human participation, which has become a trend in music generation research. This study proposes a method to generate musical accompaniment notes for harmony music using a bidirectional long-term memory (BiLSTM) network and compares it with recurrent neural network (RNN) and long-term memory (LSTM) models that use numerical notation to represent musical data, making it easier to learn the variations of harmony music in Javanese gamelan. This method replaces the gamelan composer in completing the notation for all the instruments in a song. To evaluate the generated harmonic music, note distance, dynamic time warping (DTW), and cross-correlation techniques were used to measure the distance between the system-generated results and the gamelan composer's creations. In addition, audio features were extracted and used to visualize the audio. The experimental results show that all models produced better accuracy results when using all features of the song, reaching a value of around 90%, compared to using only 2 features (rhythm and note of melody), which reached 65-70%. Furthermore, the BiLSTM model produced musical harmonies that were more similar to the original music (+93%) than those generated by the LSTM (+92%) and RNN (+90%). This study can be applied to performing Javanese gamelan music.

show abstract

Section: Bidirectional Lstm (Bilstm)mentioning

confidence: 99%

“…Melody and harmony are important concepts in music. Melody refers to the tone and rhythm [1], while harmony is the use of chords or tones together [2]. They work together to create a great musical composition.…”

Section: Introductionmentioning

confidence: 99%

Automatic note generator for Javanese gamelan music accompaniment using deep learning

Kurniawati,

Yuniarno,

Suprapto

et al. 2023

Int. J. Adv. Intell. Informatics

View full text Add to dashboard Cite

show abstract

“…The aesthetics of a human–robot interaction are likely to predict whether or not people will continue to engage with a robot, in a short-term or long-term manner (Lee et al, 2009 ) [ H.2 ]. One hypothesis for the aesthetics of human–robot interactions might be described as a “harmony of opposites” (Hekkert, 2014 ; Lomas et al, 2022 ): namely, that people will prefer a robot interaction that involves high levels of synchrony as well as high levels of independence [ H.3 ]. Like a musical interaction between a drummer and guitarist, both robot and human should be independent yet synchronized.…”

Section: Design Strategy For Resonancementioning

confidence: 99%

“…In future work, it may be useful to investigate the potential for robots and AI to support harmonization as an outcome. Harmonization has served as a core social value in diverse societies for thousands of years (Lomas et al, 2022 ). However, there is not any acceptable measure of the harmony of songs, let alone measures of harmony in social interactions.…”

Section: Design Strategy For Resonancementioning

confidence: 99%

“…Harmony is an ancient concept (Lomas et al, 2022 ) that has an intrinsic relationship with resonance: the harmonic tunings of stringed instruments maximize acoustic resonance between the tuned strings. For example, musical notes with consonant intervals (such as the 2:3 ratio of a musical fifth) will share common acoustic harmonics, while dissonant intervals do not.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Resonance as a Design Strategy for AI and Social Robots

et al. 2022

View full text Add to dashboard Cite

Resonance, a powerful and pervasive phenomenon, appears to play a major role in human interactions. This article investigates the relationship between the physical mechanism of resonance and the human experience of resonance, and considers possibilities for enhancing the experience of resonance within human–robot interactions. We first introduce resonance as a widespread cultural and scientific metaphor. Then, we review the nature of “sympathetic resonance” as a physical mechanism. Following this introduction, the remainder of the article is organized in two parts. In part one, we review the role of resonance (including synchronization and rhythmic entrainment) in human cognition and social interactions. Then, in part two, we review resonance-related phenomena in robotics and artificial intelligence (AI). These two reviews serve as ground for the introduction of a design strategy and combinatorial design space for shaping resonant interactions with robots and AI. We conclude by posing hypotheses and research questions for future empirical studies and discuss a range of ethical and aesthetic issues associated with resonance in human–robot interactions.

show abstract

Toward Behavioral Meta-rules for AI Entities in the Altug Scenario

Tugui

2024

Information Systems Engineering and Management

View full text Add to dashboard Cite

Harmony in Design: A Synthesis of Literature from Classical Philosophy, the Sciences, Economics, and Design

Cited by 13 publications

References 84 publications

Automatic note generator for Javanese gamelan music accompaniment using deep learning

Automatic note generator for Javanese gamelan music accompaniment using deep learning

Resonance as a Design Strategy for AI and Social Robots

Toward Behavioral Meta-rules for AI Entities in the Altug Scenario

Contact Info

Product

Resources

About