Development of deep learning combined with spectrum analysis to separate human voice from musical instrument sound in music production

Key Points

• The aim is to develop a method using deep learning and spectrum analysis to separate human voice from musical instrument sounds.
• Employ deep learning techniques for sound analysis
• Utilize spectrum analysis to identify sound frequencies
• Test the method in music production scenarios
• Successfully separated human voice from various musical instruments
• Demonstrated improved clarity in vocal tracks
• Achieved effective isolation even in complex audio mixes

Abstract