Music melody extraction algorithm for flute robot

Fenghua Zhao; Minghua Li; Caijie Zhou; Guangzeng Chen; Yunjiang Lou

doi:10.1109/RCAR49640.2020.9303271

Music melody extraction algorithm for flute robot

Fenghua Zhao
, Minghua Li
, Caijie Zhou
, Guangzeng Chen
, Yunjiang Lou

University Town of Shenzhen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In the previous work, the flute robot could only play music that was programmed beforehand. Therefore, in this paper, firstly an algorithm based on fast Fourier transform for extracting rhythm and fundamental frequency of noiseless music was proposed. What's more, the music recording usually contains negative segment at the beginning and there is always low frequency noise existing in the recording, which will disturb the analysis of rhythm and fundamental frequency. Hence, an algorithm for eliminating the negative segment and filtering noise was given. The results show that the algorithm can extract the rhythm and fundamental frequency precisely and eliminate the negative segment and filtering noise efficiently.

Original language	English
Title of host publication	2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	38-43
Number of pages	6
ISBN (Electronic)	9781728172927
DOIs	https://doi.org/10.1109/RCAR49640.2020.9303271
State	Published - 28 Sep 2020
Externally published	Yes
Event	2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020 - Virtual, Asahikawa, Hokkaido, Japan Duration: 28 Sep 2020 → 29 Sep 2020

Publication series

Name	2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020

Conference

Conference	2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020
Country/Territory	Japan
City	Virtual, Asahikawa, Hokkaido
Period	28/09/20 → 29/09/20

Access to Document

10.1109/RCAR49640.2020.9303271

Cite this

Zhao, F., Li, M., Zhou, C., Chen, G., & Lou, Y. (2020). Music melody extraction algorithm for flute robot. In 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020 (pp. 38-43). Article 9303271 (2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RCAR49640.2020.9303271

@inproceedings{b672fa1a91fe4c2181673d8b3a95ca1b,

title = "Music melody extraction algorithm for flute robot",

abstract = "In the previous work, the flute robot could only play music that was programmed beforehand. Therefore, in this paper, firstly an algorithm based on fast Fourier transform for extracting rhythm and fundamental frequency of noiseless music was proposed. What's more, the music recording usually contains negative segment at the beginning and there is always low frequency noise existing in the recording, which will disturb the analysis of rhythm and fundamental frequency. Hence, an algorithm for eliminating the negative segment and filtering noise was given. The results show that the algorithm can extract the rhythm and fundamental frequency precisely and eliminate the negative segment and filtering noise efficiently.",

author = "Fenghua Zhao and Minghua Li and Caijie Zhou and Guangzeng Chen and Yunjiang Lou",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020 ; Conference date: 28-09-2020 Through 29-09-2020",

year = "2020",

month = sep,

day = "28",

doi = "10.1109/RCAR49640.2020.9303271",

language = "英语",

series = "2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "38--43",

booktitle = "2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020",

address = "美国",

}

Zhao, F, Li, M, Zhou, C, Chen, G & Lou, Y 2020, Music melody extraction algorithm for flute robot. in 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020., 9303271, 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020, Institute of Electrical and Electronics Engineers Inc., pp. 38-43, 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020, Virtual, Asahikawa, Hokkaido, Japan, 28/09/20. https://doi.org/10.1109/RCAR49640.2020.9303271

Music melody extraction algorithm for flute robot. / Zhao, Fenghua; Li, Minghua; Zhou, Caijie et al.
2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 38-43 9303271 (2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Music melody extraction algorithm for flute robot

AU - Zhao, Fenghua

AU - Li, Minghua

AU - Zhou, Caijie

AU - Chen, Guangzeng

AU - Lou, Yunjiang

PY - 2020/9/28

Y1 - 2020/9/28

N2 - In the previous work, the flute robot could only play music that was programmed beforehand. Therefore, in this paper, firstly an algorithm based on fast Fourier transform for extracting rhythm and fundamental frequency of noiseless music was proposed. What's more, the music recording usually contains negative segment at the beginning and there is always low frequency noise existing in the recording, which will disturb the analysis of rhythm and fundamental frequency. Hence, an algorithm for eliminating the negative segment and filtering noise was given. The results show that the algorithm can extract the rhythm and fundamental frequency precisely and eliminate the negative segment and filtering noise efficiently.

AB - In the previous work, the flute robot could only play music that was programmed beforehand. Therefore, in this paper, firstly an algorithm based on fast Fourier transform for extracting rhythm and fundamental frequency of noiseless music was proposed. What's more, the music recording usually contains negative segment at the beginning and there is always low frequency noise existing in the recording, which will disturb the analysis of rhythm and fundamental frequency. Hence, an algorithm for eliminating the negative segment and filtering noise was given. The results show that the algorithm can extract the rhythm and fundamental frequency precisely and eliminate the negative segment and filtering noise efficiently.

UR - https://www.scopus.com/pages/publications/85099376495

U2 - 10.1109/RCAR49640.2020.9303271

DO - 10.1109/RCAR49640.2020.9303271

M3 - 会议稿件

AN - SCOPUS:85099376495

T3 - 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020

SP - 38

EP - 43

BT - 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020

Y2 - 28 September 2020 through 29 September 2020

ER -

Zhao F, Li M, Zhou C, Chen G, Lou Y. Music melody extraction algorithm for flute robot. In 2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 38-43. 9303271. (2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020). doi: 10.1109/RCAR49640.2020.9303271

Music melody extraction algorithm for flute robot

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