What is it about?
The article developed a method for extracting chord sequences and notes from audio recordings of solo guitar performances. For intervals in the supplied audio, the proposed approach outputs chord names and fret-board notes. The model described here has been refined to achieve an accuracy of 88.7%. The model’s ability to properly tag audio clips is an incredible advancement.
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Why is it important?
Automatic guitar chord recognition
Read the Original
This page is a summary of: Transfer Learning for Audio Waveform to Guitar Chord Spectrograms Using the Convolution Neural Network, Mobile Information Systems, August 2022, Hindawi Publishing Corporation, DOI: 10.1155/2022/8544765.
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