The work is aimed at solving the problems of easy trapping into local extremes and slow convergence speed traditional music teaching evaluation system on Backpropagation Neural Network (BPNN). note recognition methods are susceptible to high noise complexity. Firstly, Levenberg Marquardt (LM) algorithm used optimize BPNN; secondly, an improved endpoint detection proposed by short-term energy di...

Many music generation research works have achieved effective performance, while rarely combining with given videos. We propose a model two linear Transformers to generate background according video. To enhance the melodic quality of generated music, we firstly input note-related and rhythm-related features separately into each Transformer network. In particular, pay attention connection indepen...

Acceptable noise level (ANL) is defined as the maximum level of background noise that an individual is willing to accept while listening to speech. The type of background noise does not affect ANL results with the possible exception of music. The purpose of this study was to determine if ANL for music was different from ANL for twelve-talker babble and investigate if there was a correlation bet...

Background. Music has been seen as a motivator to help individuals who are not persistent enough to do a full set of exercises. However, the effect of long-term using music has not been determined, especially for amateur students who participated in Physical Education courses. Objectives: The purpose of the study was to find out the effect of popular music on female physical fitness students w...