Construction of Intelligent Recommendation System for Impromptu Singing by Using Database Technology

In today’s era of rapid development of Internet technology, people not only enjoy the convenience brought by science and technology, but also need to take the initiative to understand and learn what is happening around them. As a new type of song form, improvisation has been loved and sought after by the vast number of music lovers. This paper will focus on how to use database system to develop an impromptu singing intelligent recommendation system based on database algorithm, which is of great significance to improve the piano singing level and meet the needs of consumers. After constructing the impromptu intelligent recommendation system, the performance of the system is tested. The test results show that the time delay of each impromptu singing is 0.5 s, 0.7 s, 0.8 s, 0.6 s, 0.9 s, 0.4 s, 0.7 s and 0.6 s, respectively. The value of the delay time varied between different participants, ranging from 0.4 to 0.9 seconds, showing the varying degrees of delay encountered during the live singing. Through a large number of research tests and analytical studies, the practical value of this method is increasingly recognized, so it is well worth exploring and practicing it.