Application of intelligent audio data based on hash storage in vocal music teaching platform

In this paper, the fast algorithm of audio retrieval is more about the template matching process of audio feature parameters. Nowadays, people regard vocal music learning as a way to relax the mood, because vocal music not only helps people vent their emotions and convey their heartfelt thoughts, but also helps regulate our body and mind. Aiming at these problems, this paper designs a vocal self-study assistant system. The vocal self-study assistant system introduces the latest technology, which can enable people to learn vocal music anywhere and anytime. First of all, the search time is reduced through the hash structure, and the search efficiency is improved. The index structure proposed in this paper includes two parts: the surface layer of the hash table and the tree layer of the hash tree. A hash tree structure that can perfectly adapt to changes in the amount of data is also proposed. In addition, this article also introduces the efficient search algorithm built by the hash tree index. According to the experimental results, it can be found that the intelligent audio data rapid retrieval algorithm using the image registration method is similar to the intelligent audio retrieval algorithm based on the DTW algorithm. Compared with the former, it is more accurate. Therefore, the retrieval algorithm in this article can be applied to intelligent audio retrieval technology based on content and semantics.