This research focuses on the application of multimedia technology and the Dynamic Time Warping (DTW) algorithm in university vocal music teaching. This model provides students with multi-dimensional learning experiences and targeted feedback. Experimental results show that students in the experimental group using this new model have significantly…

With the development of internet technology, big data has been used to evaluate the singing and pronunciation quality of vocal students. However, current methods have several problems such as poor information fusion efficiency, low algorithm robustness, and low recognition accuracy under low signal-to-noise ratio. To address these issues, this…

Automatic recognition of instrument types from an audio signal is a challenging and a promising research topic. It is challenging as there has been work performed in this domain and because of its applications in the music industry. Different broad categories of instruments like strings, woodwinds, etc., have already been identified. Very few…