Conceptio › Archive › Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer metadata only

Klasifikasi Instrumen Musik dari Sinyal Audio menggunakan ResNet

Fathoni Dwi Atmoko
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer · Papers
Open Source ↗
convolutional-neural-networktransfer-learning
This study presents the implementation of Transfer learning using the ResNet-18 architecture for classifying 10 musical instrument categories based on visual representations of audio signals. The audio waveform is transformed into image-like inputs appropriate for CNN processing, accompanied by data
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1066850
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive