Exploration of Bassoon Quartet Teaching Methods and Training Methods under the Background of Informationization

The continuous development and progress of the times have promoted the diversification of teaching methods in colleges and universities. Based on the teaching and training methods of the bassoon quartet, this paper proposes an evaluation model for their teaching and training methods, in combination with an informational background. Specifically, after extracting features from the audio signal, a two-way LSTM neural network and Softmax classification algorithm are used to evaluate the quality of bassoon quartet training audio. The purpose of the teaching practice for the bassoon quartet teaching method is to explore its practical utility and support information technology conditions. The results show that the evaluation model of bassoon quartet training has a high evaluation accuracy, and the values of each index are between 0.80 and 0.94. The level of bassoon quartet of the students was significantly improved after the application of the teaching method, and the percentages of “excellent” and “good” in the formative evaluation were 12.5%-22.5% and 42.5%-50.0%, and the number of students with scores above 75 points increased by 18% compared with that of the conventional teaching form. The number of students with scores of 75 or above increased by 18.96% compared to the conventional teaching format. In this paper, the teaching method of the bassoon quartet based on information technology can promote the teaching level of the bassoon quartet and enhance students’ mastery of the bassoon quartet.