Tomohiko Nakamura, Shihori Kozuka, and Hiroshi Saruwatari (The University of Tokyo)
In this demo page, we show music source separation results using our proposed MRDLA [1] and conventional time-domain audio source separation methods. The mixture and ground truth signals of musical instruments (vocals, bass, drums, and other) are from the MUSDB18 dataset [2].
In addition to the separated audio signals of each method, we provide so-called minus-one audio estimates, which were computed by subtracting the separated audio signals from the mixture audio signals. The minus-one audio estimates were helpful for listeners to check the leakage of the target sources.
Mixture | Instrument | Separated/Minus-one | Ground Truth | WaveNet [3] | Wave-U-Net [4] | Conv-TasNet [5] | Proposed MRDLA [1] |
---|---|---|---|---|---|---|---|
Song 1
| vocals | Separated | |||||
Minus-one | |||||||
bass | Separated | ||||||
Minus-one | |||||||
drums | Separated | ||||||
Minus-one | |||||||
other | Separated | ||||||
Minus-one | |||||||
Song 2
| vocals | Separated | |||||
Minus-one | |||||||
bass | Separated | ||||||
Minus-one | |||||||
drums | Separated | ||||||
Minus-one | |||||||
other | Separated | ||||||
Minus-one | |||||||
Song 3
| vocals | Separated | |||||
Minus-one | |||||||
bass | Separated | ||||||
Minus-one | |||||||
drums | Separated | ||||||
Minus-one | |||||||
other | Separated | ||||||
Minus-one |