TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors

Z. Huang; A. Tousnakhoff; P. Kozyr; R. Rehausen; F. Biebmann; R. Lachlan; C. Adjih; E. Baccelli

doi:10.1109/IS262782.2024.10704131

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors

Z. Huang
, A. Tousnakhoff
, P. Kozyr
, R. Rehausen
, F. Biebmann
, R. Lachlan
, C. Adjih
, E. Baccelli

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

Original language	English
Title of host publication	IEEE 5th International Symposium on the Internet of Sounds, IS2 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	979-8-3503-6652-5
ISBN (Print)	979-8-3503-6653-2
DOIs	https://doi.org/10.1109/IS262782.2024.10704131
Publication status	Published - 7 Oct 2024
Event	5th IEEE International Symposium on the Internet of Sounds, IS2 2024 - Erlangen, Germany Duration: 30 Sept 2024 → 2 Oct 2024

Publication series

Name	IEEE 5th International Symposium on the Internet of Sounds, IS2 2024

Conference

Conference	5th IEEE International Symposium on the Internet of Sounds, IS2 2024
Country/Territory	Germany
City	Erlangen
Period	30/09/24 → 2/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Acoustic Sensors
Machine Learning
Microcontroller
TinyML

Access to Document

10.1109/IS262782.2024.10704131

Cite this

Huang, Z., Tousnakhoff, A., Kozyr, P., Rehausen, R., Biebmann, F., Lachlan, R., Adjih, C., & Baccelli, E. (2024). TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. In IEEE 5th International Symposium on the Internet of Sounds, IS2 2024 (IEEE 5th International Symposium on the Internet of Sounds, IS2 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IS262782.2024.10704131

@inproceedings{3de744486551465986dc956ecd5e644b,

title = "TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors",

keywords = "Acoustic Sensors, Machine Learning, Microcontroller, TinyML",

author = "Z. Huang and A. Tousnakhoff and P. Kozyr and R. Rehausen and F. Biebmann and R. Lachlan and C. Adjih and E. Baccelli",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 5th IEEE International Symposium on the Internet of Sounds, IS2 2024 ; Conference date: 30-09-2024 Through 02-10-2024",

year = "2024",

month = oct,

day = "7",

doi = "10.1109/IS262782.2024.10704131",

language = "English",

isbn = "979-8-3503-6653-2",

series = "IEEE 5th International Symposium on the Internet of Sounds, IS2 2024",

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

booktitle = "IEEE 5th International Symposium on the Internet of Sounds, IS2 2024",

}

Huang, Z, Tousnakhoff, A, Kozyr, P, Rehausen, R, Biebmann, F, Lachlan, R, Adjih, C & Baccelli, E 2024, TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. in IEEE 5th International Symposium on the Internet of Sounds, IS2 2024. IEEE 5th International Symposium on the Internet of Sounds, IS2 2024, Institute of Electrical and Electronics Engineers Inc., 5th IEEE International Symposium on the Internet of Sounds, IS2 2024, Erlangen, Germany, 30/09/24. https://doi.org/10.1109/IS262782.2024.10704131

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. / Huang, Z.; Tousnakhoff, A.; Kozyr, P. et al.
IEEE 5th International Symposium on the Internet of Sounds, IS2 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE 5th International Symposium on the Internet of Sounds, IS2 2024).

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

TY - GEN

T1 - TinyChirp

T2 - 5th IEEE International Symposium on the Internet of Sounds, IS2 2024

AU - Huang, Z.

AU - Tousnakhoff, A.

AU - Kozyr, P.

AU - Rehausen, R.

AU - Biebmann, F.

AU - Lachlan, R.

AU - Adjih, C.

AU - Baccelli, E.

PY - 2024/10/7

Y1 - 2024/10/7

KW - Acoustic Sensors

KW - Machine Learning

KW - Microcontroller

KW - TinyML

UR - https://www.scopus.com/pages/publications/85207840888

U2 - 10.1109/IS262782.2024.10704131

DO - 10.1109/IS262782.2024.10704131

M3 - Conference contribution

AN - SCOPUS:85207840888

SN - 979-8-3503-6653-2

T3 - IEEE 5th International Symposium on the Internet of Sounds, IS2 2024

BT - IEEE 5th International Symposium on the Internet of Sounds, IS2 2024

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 30 September 2024 through 2 October 2024

ER -

Huang Z, Tousnakhoff A, Kozyr P, Rehausen R, Biebmann F, Lachlan R et al. TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. In IEEE 5th International Symposium on the Internet of Sounds, IS2 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (IEEE 5th International Symposium on the Internet of Sounds, IS2 2024). doi: 10.1109/IS262782.2024.10704131

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this