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Author:

Xu, Xiao (Xu, Xiao.) | Duan, Lijuan (Duan, Lijuan.)

Indexed by:

EI Scopus

Abstract:

The dance generation task is an interesting task. The general task is to predict the next dance sequence through a given initial frame, or to convert from music to dance through audio information. However, these works cannot control the direction of dance generation and lack suitable ground truth to evaluate the generated results. In our work, we give the start frame and the end frame, which can effectively solve the above problems, and can also be understood as a standardized new task. Our experimental results show that through a two-stream CNN network, we can well complete the new task that we proposed. © 2020 Published under licence by IOP Publishing Ltd.

Keyword:

Music Audio acoustics

Author Community:

  • [ 1 ] [Xu, Xiao]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Xu, Xiao]Beijing Key Laboratory of Trusted Computing, Beijing; 100124, China
  • [ 3 ] [Xu, Xiao]Natl. Engineering Laboratory for Critical Technologies of Information Security Classified Protection, Beijing; 100124, China
  • [ 4 ] [Duan, Lijuan]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Duan, Lijuan]Beijing Key Laboratory of Trusted Computing, Beijing; 100124, China
  • [ 6 ] [Duan, Lijuan]Natl. Engineering Laboratory for Critical Technologies of Information Security Classified Protection, Beijing; 100124, China

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Source :

ISSN: 1742-6588

Year: 2020

Issue: 1

Volume: 1651

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: 5

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