Compressive sensing uses an incomplete sample set to consider signal reconstruction with
sparse basis representations over a specific transform domain. This work examines the …

Vocal learning has found its proliferation in recent years due to the advancement in wireless
networking. Vocal art encompasses profound cultural values and aesthetic preferences …

Compressive sensing, often referred to as CS, is an innovative approach that heavily
depends on signal sparsity. It capitalizes on the inherent sparsity of signals, enabling the …

Music curriculum fusion and super‐resolution reconstruction based on musical elements
have gradually attracted the attention of researchers. The traditional music element fusion …

It is essential to store speech and audio data in various speech processing and detection
applications. Sometimes this data is too much bulkier and requires ample storage. So, there …