Research on Musical Tone Recognition Method Based on Improved RNN for Vocal Music Teaching Network Courses

The test results show that the fast Fourier process with multiple time superposition and a dimension length of 40 is most beneficial to accuracy model. loss curve value convolutional recurrent network model (CRN) much lower than other three models. music tone recognition learns better. rate recall CRN are highest, rates four indicators 94.6%, 92.4%, 93.5%, 92.5%, were 93.2%, 94.9%, 95.2%, 88.6% respectively; improved algorithm was accurate in terms F1 values suitable for use vocal teaching courses. can be broadly performed zone has certain contribution development field recognition.