Key Detection
2 papers with code • 1 benchmarks • 1 datasets
Most implemented papers
Codified audio language modeling learns useful representations for music information retrieval
Relative to representations from conventional MIR models which are pre-trained on tagging, we find that using representations from Jukebox as input features yields 30% stronger performance on average across four MIR tasks: tagging, genre classification, emotion recognition, and key detection.
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key Estimation
In recent years, complex convolutional neural network architectures such as the Inception architecture have been shown to offer significant improvements over previous architectures in image classification.