Evaluation of AI Reverberation on Guitar

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (no ISBN/ISSN)peer-review

View graph of relations

Related Research Unit(s)

Detail(s)

Original languageEnglish
Publication statusPublished - Jul 2021

Conference

Title16th International Conference on Music Perception and Cognition and 11th Triennial Conference of European Society for the Cognitive Sciences of Music (ICMPC16-ESCOM11)
LocationVirtual
Period28 - 31 July 2021

Abstract

Artificial intelligence (AI) technology has been applied to create a range of different sound effects. However, perceptual evaluations of such applications have not yet been fully explored in research studies. This paper focuses on reverberation and we report results from objective measurements and perceptual listening tests in two stages (N=10, N=32). Participants rated samples of solo guitar phrases, taken from a musical context, and processed by either an AI software or by a professional sound engineer. The analysis aims to predict the salient modifications made to reverberation by AI and humans. This study contributes to our understanding of AI in studio music production. Future work will expand to other audio effects, such as compression and equalization.

Research Area(s)

  • reverberation, artificial intelligence, evaluation

Citation Format(s)

Evaluation of AI Reverberation on Guitar. / CHEN, Manni; LINDBORG, PerMagnus.

2021. Paper presented at 16th International Conference on Music Perception and Cognition and 11th Triennial Conference of European Society for the Cognitive Sciences of Music (ICMPC16-ESCOM11).

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (no ISBN/ISSN)peer-review