The following papers were peer-reviewed and presented at CSMC2018:

B.T Franklin: Resonant Element: An Application for the Continuous Generation of Pop-Inspired Music

Masatoshi Hamanaka, Keiji Hirata and Satoshi Tojo: Applying Melody Morphing Method to Composition

Steven Jan : The Theory and Analysis of Computer-Generated Music: A Case-Study of Colossus

Kevin Joslyn, Naifan Zhuang and Kien Hua: Deep Segment Hash Learning for Music Generation

Stefano Kalonaris and Anna Jordanous: Computational Music Aesthetics: a survey and some thoughts 

Masaki Matsubara, Yuki Ishiwa, Yui Uehara and Satoshi Tojo: Computational Detection of Local Cadence on Revised TPS

James McDermott: Representation Learning for Drum Loops with a Variational Autoencoder

René Mogensen: Computational creativity specification for music: comparative analysis of machine improvisers Favoleggiatori 2 and MASOM

Hidefumi Ohmura, Takuro Shibayama, Keiji Hirata and Satoshi Tojo: Music Generation System Based on a Human Instinctive Creativity

Stephen Roddy: Ambient Data Monitoring with Generative Music Systems using EC & ML Techniques

Yasuyuki Saito, Yasuji Sakai, Yuu Igarashi, Eita Nakamura, Suguru Agata and Shigeki Sagayama: Automatic Music Accompaniment Technology Applied to Recreational Singing Activities at Long-Term Health-Care Facilities

Joseph Timoney, Behnam Faghih, Anthony Gibney, Benjamin Korady and Gareth Young: Singing Blocks: Considerations for a Virtual Reality Game to create chords and Progressions

Aiko Uemura and Tetsuro Kitahara: Preliminary Study on Morphing of Chord Progression

Valerio Velardo: Deep Adaptive Music: The Ultimate Frontier of Machine Generated Music

Joseph Yaconelli and Robert Keller: Discovery and Utilization of Jazz Motifs for Computer-Generated Solos







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