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THE NUTS AND BOLTS
OF MUSIC SOURCE
SEPARATION
STIPE KABIĆ
CONTENT
1. The problem of music source separation
1. State of the art modeling approaches
1. Practical tips and best practices
1. Further research directions and ideas
CONTENT
1. The problem of music source separation
1. State of the art modeling approaches
1. Practical tips and best practices
1. Further research directions and ideas
Music source separation is hard!
Multidisciplinary approach required!
CONTENT
1. The problem of music source separation
1. State of the art modeling approaches
1. Practical tips and best practices
1. Further research directions and ideas
STFT generates strong features!
Treat audio as a vision problem!
Waveform models can be better!
Hybrid approaches win the day!
CONTENT
1. The problem of music source separation
1. State of the art modeling approaches
1. Practical tips and best practices
1. Further research directions and ideas
Understanding audio data is key!
Use standard deep learning tricks!
MobileNet for fast idea testing!
CONTENT
1. The problem of music source separation
1. State of the art modeling approaches
1. Practical tips and best practices
1. Further research directions and ideas
Steal from Vision and NLP!
Look back at the fundamentals!
Create a novel MSS approach!
www.atmc.ai
info@atmc.ai

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