Crossmark

End-to-end training of acoustic scene classification using distributed sound-to-light conversion devices: verification through simulation experiments

Published Online: 2024-09-27

Authors

Kinoshita, Yuma http://orcid.org/0000-0001-8455-1288
Ono, Nobutaka
Funding

Funding for this research was provided by:

Japan Society for the Promotion of Science (JP22K17915)

Strategic International Collaborative Research Program (JPMJSC2306)
License Information

Text and Data Mining valid from 2024-09-27

Version of Record valid from 2024-09-27
More Information

Article History

Received: 2 April 2024

Accepted: 11 September 2024

First Online: 27 September 2024

Declarations

:

: NO is a guest editor of the Collection "Advanced Signal Processing and Machine Learning for Acoustic Scene Analysis and Signal Enhancement" in <i>EURASIP Journal on Audio, Speech, and Music Processing</i>.

Document is current