Application of Deep Learning in Computer Aided Vocal Tasks Learning

Abstract

At present, the vocal music task in institution of higher learning is gradually separated from the old teaching mode, showing a new look, and its computer technology is indispensable. Through the use of computer assisted vocal music tasks in institution of higher learning, some experiments and research have been carried out in the unit, and preliminary application experience and expected teaching results have been achieved. This paper further explores the application of deep learning in computer assisted vocal tasks in institution of higher learning. Experimental research shows that the desire to create songs is the lowest among the three results, with an average of 24.3%. The second is that when you enjoy a song, you will be shocked by your heart, with an average proportion of 33.9%. Among them, the highest proportion is that when singing, people can basically feel the beauty of song rhythm and melody, with an average proportion of 53.97%. Vocal music learning is a systematic, complicated and gradual work. Whether as a vocal music teacher or a student, it requires great efforts to have a good vocal music lesson and learn it well, so as to develop in this field.