structured · mcfee2017-structured-training

we develop a deep convolutional-recurrent model for automatic chord recognition over a vocabulary of 170 classes. To exploit structural relationships between chord classes, the model is trained to produce both the time-varying chord label sequence as well as binary encodings of chord roots and qualities.