Mel Power Spectrogram Approximation By Tiny Neural Networks for Home Appliances Classification
Author:
Affiliation:
1. Universita degli Studi di Trento,Randriatsimiovalaza STMicroelectronics
2. STMicroelectronics System Research and Applications Agrate Brianza
3. Universita degli Studi di Trento,STMicroelectronics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10180122/10180015/10180197.pdf?arnumber=10180197
Reference11 articles.
1. COOLL: Controlled on/off loads library, a public dataset of high-sampled electrical signals for appliance identification;picon;arXiv preprint arXiv 1611 05803,2016
2. A voltage and current measurement dataset for plug load appliance identification in households;medico;Scientific Data,2020
3. Spectogram Prediction with Neural Networks;garcía;XXIV Congreso Argentino de Ciencias de la Computación (La Plata 2018),2018
4. Acoustic scene classification based on Mel spectrogram decomposition and model merging
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