Ensemble of Transformer and Convolutional Recurrent Neural Network for Improving Discrimination Accuracy in Automatic Chord Recognition.
Hikaru YamagaToshifumi MommaKazunori KojimaYoshiaki ItohPublished in: APSIPA ASC (2023)
Keyphrases
- recurrent neural networks
- neural network
- recognition accuracy
- feed forward
- recognition rate
- object recognition
- recurrent networks
- prediction accuracy
- discrimination power
- complex valued
- high accuracy
- feature selection
- hidden layer
- ensemble methods
- ensemble pruning
- ensemble members
- long short term memory
- correct recognition
- reservoir computing
- neural model
- classification accuracy
- pattern recognition
- artificial intelligence
- feedforward neural networks
- deep learning
- fault diagnosis
- fuzzy logic
- decision trees
- recognition algorithm
- high voltage
- feature extraction