Abstract: A two-layer neural network for humming feature extraction is proposed for note segmentation and note recognition，when users sing consecutively with arbitrary words.The first-layer BP network is used to divide the humming data into the independent notes.The second-layer RBF network is used to receives the MIDI pitch of the independent note.The experimental results show that this method can extract the humming features with high accuracy，and it’s suitable to the QBH（Query By Humming） system.