Algoritmic music composition based on artificial intelligence: A survey

López-Rincón, Omar; Starostenko, Oleg; Martin, Gerardo Ayala-San

doi:10.1109/conielecomp.2018.8327197

“…[1] AI and music [2] music and AI [3] Music creation by example [4] AI and music: open questions of copyright law and engineering praxis [5] Amusic composition based on AI [6] Novice-AI music co-creation [7] A Tutorial on AI Music Composition [8] Mind Band [9] AI can change/improve/influence music [10] On the role of artificial intelligence in music research [11] AI-based intelligent music [12] Sleep pattern analysis and improvement by AI and music therapy [13] AI, ML, and music [14] Music representation [15] AI to music composition [16] Music composition using AI [17] Arts, computers, and AI [18] Music theory, the missing link between music-related big data and AI [19] AI approaches for automated melody generation [20] Ants can play music [21] Sound and music in games [22] procedural music in video games [23] music in educational games [24] music matters [25] Generative music in video games [26] Flipped learning as a new educational paradigm [27] barelymusician [28] Playing with sound [29] Effects of built-in audio versus unrelated background music [30] grounded theory of music use [31] AI & popular music [32] Cross-industry innovation [33] Music to middleware [34] Hear the music, play the Game [35] Music Everywhere [36] blockchain on the music industry [37] Music arena game [38] video game music genre...…”

Section: Method/approach Yearmentioning

confidence: 99%

A comprehensive overview of AI-enabled music classification and its influence in games

Nazir

¹

2022

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With the development and advancement of information technology, artificial intelligence (AI) and machine learning (ML) are applied in every sector of life. Among these applications, music is one of them which has gained attention in the last couple of years. The music industry is revolutionized with AIbased innovative and intelligent techniques. It is very convenient for composers to compose music of high quality using these technologies. Artificial intelligence and Music (AIM) is one of the emerging fields used to generate and manage sounds for different media like the Internet, games, etc. Sounds in the games are very effective and can be made more attractive by implementing AI approaches. The quality of sounds in the game directly impacts the productivity and experience of the player. With computer-assisted technologies, the game designers can create sounds for different scenarios or situations like horror and suspense and provide gamer information. The practical and productive audio of a game can guide visually impaired people during other events in the game. For the better creation and composition of music, good quality of knowledge about musicology is essential. Due to AIM, there are a lot of intelligent and interactive tools available for the efficiency and effective learning of music. The learners can be provided with a very reliable and interactive environment based on artificial intelligence. The current study has considered presenting a detailed overview of the literature available in the area of research. The study has demonstrated literature analysis from various perspectives, which will become evidence for researchers to devise novel solutions in the field.

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“…[1] AI and music [2] music and AI [3] Music creation by example [4] AI and music: open questions of copyright law and engineering praxis [5] Amusic composition based on AI [6] Novice-AI music co-creation [7] A Tutorial on AI Music Composition [8] Mind Band [9] AI can change/improve/influence music [10] On the role of artificial intelligence in music research [11] AI-based intelligent music [12] Sleep pattern analysis and improvement by AI and music therapy [13] AI, ML, and music [14] Music representation [15] AI to music composition [16] Music composition using AI [17] Arts, computers, and AI [18] Music theory, the missing link between music-related big data and AI [19] AI approaches for automated melody generation [20] Ants can play music [21] Sound and music in games [22] procedural music in video games [23] music in educational games [24] music matters [25] Generative music in video games [26] Flipped learning as a new educational paradigm [27] barelymusician [28] Playing with sound [29] Effects of built-in audio versus unrelated background music [30] grounded theory of music use [31] AI & popular music [32] Cross-industry innovation [33] Music to middleware [34] Hear the music, play the Game [35] Music Everywhere [36] blockchain on the music industry [37] Music arena game [38] video game music genre...…”

Section: Method/approach Yearmentioning

confidence: 99%

A Comprehensive Overview of AI-Enabled Music Classification and Its Influence in Games

Tiancheng

¹

,

Nazir

²

2021

Preprint

1

0

View full text Add to dashboard Cite

With the development and advancement of information technology, artificial intelligence (AI) and machine learning (ML) are applied in every sector of life. Among these applications, music is one of them which has gained attention in the last couple of years. The music industry is revolutionized with AIbased innovative and intelligent techniques. It is very convenient for composers to compose music of high quality using these technologies. Artificial intelligence and Music (AIM) is one of the emerging fields used to generate and manage sounds for different media like the Internet, games, etc. Sounds in the games are very effective and can be made more attractive by implementing AI approaches. The quality of sounds in the game directly impacts the productivity and experience of the player. With computer-assisted technologies, the game designers can create sounds for different scenarios or situations like horror and suspense and provide gamer information. The practical and productive audio of a game can guide visually impaired people during other events in the game. For the better creation and composition of music, good quality of knowledge about musicology is essential. Due to AIM, there are a lot of intelligent and interactive tools available for the efficiency and effective learning of music. The learners can be provided with a very reliable and interactive environment based on artificial intelligence. The current study has considered presenting a detailed overview of the literature available in the area of research. The study has demonstrated literature analysis from various perspectives, which will become evidence for researchers to devise novel solutions in the field.

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“…It can also help predict yield to ensure the economic value to be gained, as well as the early detection of diseases spread in crops, to enable timely preventive measures [101]. Various technologies used are Bluetooth, RFID, Zigbee, GPS as well as other technologies which are gaining popularity in this application, namely SigFox, LoRa, NB-IoT, edge computing and cloud computing [102]. Some of the main components of IoT-based smart agriculture are smart plowing, smart irrigation, smart fertilization, smart harvesting, smart stock maintenance, smart livestock management that deals with smart tracking of animals, intelligent health monitoring, intelligent feeding and fodder management, etc.…”

Section: O Smart Agriculturementioning

confidence: 99%