Deep Learning for Hammering Test

This demo shows a simple deep learning application for audio data.
495 download
Aggiornato 24 giu 2020

Deep learning is spreading not only to images but also to one-dimensional signals such as audio. It can flexibly handle complex problems in various environments that were difficult with conventional signal analysis.

In this file, you can try a simple deep learning for audio data using “Hammering Test” as an example in a few minutes.
This demo introduces a workflow from "acquisition of audio data" to "network designing and learning” .

#Demo Video (in Japanese)
demo.https://jp.mathworks.com/videos/deep-learning-for-hammering-test-1576046662504.html
[8:24~] : the result of this script

Cita come

Kazuya Machida (2026). Deep Learning for Hammering Test (https://github.com/k-machida/deeplearning-hammering-en/releases/tag/v1.1), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2019a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su AI for Audio in Help Center e MATLAB Answers
Versione Pubblicato Note della release
1.1

See release notes for this release on GitHub: https://github.com/k-machida/deeplearning-hammering-en/releases/tag/v1.1

1.0.0

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.