Efficient and Real-Time Piano Transcription Using Compact Autoregressive Neural Models

The authors propose novel convolutional recurrent neural network (CRNN) architectures for efficient and real-time piano transcription, including frequency-conditioned FiLM layers in the CNN module and pitch-wise LSTMs in the RNN module, along with an enhanced recursive context.