Multi-task Audio Source Seperation
3 papers with code • 1 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Multi-task Audio Source Seperation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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Acappella
CocoChorales
MTASS
Most implemented papers
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
The majority of the previous methods have formulated the separation problem through the time-frequency representation of the mixed signal, which has several drawbacks, including the decoupling of the phase and magnitude of the signal, the suboptimality of time-frequency representation for speech separation, and the long latency in calculating the spectrograms.
Music Source Separation in the Waveform Domain
Source separation for music is the task of isolating contributions, or stems, from different instruments recorded individually and arranged together to form a song.
Multi-Task Audio Source Separation
Windstudent/Complex-MTASSNet
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In detail, the proposed model follows a two-stage pipeline, which separates the three types of audio signals and then performs signal compensation separately.
