Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy

Unsupervised Single-Channel Singing Voice Separation with Weighted Robust Principal Component Analysis Based on Gammatone Auditory Filterbank and Vocal Activity Detection

Singing-voice separation is a separation task that involves a singing voice and musical accompaniment. In this paper, we propose a novel, unsupervised methodology for extracting a singing voice from the background in a musical mixture. This method is a modification of robust principal component analysis (RPCA) that separates a singing voice by using weighting based on gammatone filterbank and vocal activity detection. Although RPCA is a helpful method for separating voices from the music mixture, it fails when one single value, such as drums, is much larger than others (e.g., the accompanying instruments). As a result, the proposed approach takes advantage of varying values between low-rank (background) and sparse matrices (singing voice). Additionally, we propose an expanded RPCA on the cochleagram by utilizing coalescent masking on the gammatone. Finally, we utilize vocal activity detection to enhance the separation outcomes by eliminating the lingering music signal. Evaluation results reveal that the proposed approach provides superior separation outcomes than RPCA on ccMixter and DSD100 datasets.

Environment-Friendly Vocal Music Ecological Education: Sustainable Development of Vocal Music Education from the Perspective of Building

With the acceleration of the modernization of human society, natural ecology is continuously destroyed, which inevitably brings about the crisis of the human spirit, and human beings progressively lose the ability to draw power from nature. Similarly, music is losing its function of freeing people from secularity and becoming a carrier of pure utility. For a long time, there have been some disharmonious factors in the ecological environment of vocal music teaching. For example, some vocal music teaching facilities are out of date, vocal music course resources are single and scarce, vocal music courses are comparatively isolated and lack organic integration with other courses, and relevant art practices and scientific research activities of teachers and students are not carried out well after class, comprehensive quality of teachers cannot be effectively improved, and external communication of colleges and universities is not enough. This has affected the quality of vocal music teaching to a certain extent. Accordingly, an environment-friendly ecological vocal education emerged. In addition, both building and music are the supplement and creation of the human living environment by the material organization. Consequently, their performance has similar characteristics of origin. Thus, from the perspective of the building, we touch the music, listen to the building, and analyze the integration of ecological vocal music education and building. The empirical test verified the effect of ecological vocal music teaching under the building vision.