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Author:

Wei, Junfeng (Wei, Junfeng.) | Liu, Ziang (Liu, Ziang.) | Sun, Fuchun (Sun, Fuchun.) | Fang, Bin (Fang, Bin.)

Indexed by:

EI Scopus

Abstract:

Nowadays the field of combining robots with music has received great attention. However, the current work often focuses on how to control the mechanical performance of music with established rules. We hope that the robot can play a musical instrument without being so monotonous and can have playing skills other than regularity as a human being. We designed an anthropomorphic robotic ocarina playing system. The movements and corresponding action parameters when the dexterous hand is playing are designed so that the system can read the digital score and automatically play according to the score. Through our pitch and intensity analysis algorithm, the audio is parsed into the pitch sequence and intensity sequence required for ocarina performance, and the dexterous hand can play the ocarina through these two sequences so that the ocarina can be imitated by only listening to the audio. Furthermore, a granularity method is proposed to evaluate the similarity of performances. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

Music

Author Community:

  • [ 1 ] [Wei, Junfeng]Department of Computer Science and Technology, Tsinghua University, Beijing; 100084, China
  • [ 2 ] [Wei, Junfeng]Beijing University of Technology, Beijing; 100086, China
  • [ 3 ] [Liu, Ziang]Department of Computer Science and Technology, Tsinghua University, Beijing; 100084, China
  • [ 4 ] [Sun, Fuchun]Department of Computer Science and Technology, Tsinghua University, Beijing; 100084, China
  • [ 5 ] [Fang, Bin]Department of Computer Science and Technology, Tsinghua University, Beijing; 100084, China

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ISSN: 1865-0929

Year: 2023

Volume: 1770 CCIS

Page: 171-182

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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