Loading...
Please wait, while we are loading the content...
Similar Documents
Score guided audio restoration via generalised coupled tensor factorization (2012)
| Content Provider | CiteSeerX |
|---|---|
| Author | Yılmaz, Y. Kenan Cemgil, A. Taylan |
| Description | In IEEE International Conference on Acoustics, Speech, and Signal Processing Generalised coupled tensor factorisation is a recently pro-posed algorithmic framework for simultaneously estimating tensor factorisation models where several observed tensors can share a set of latent factors. This paper proposes a model in this framework for coupled factorisation of piano spectrograms and piano roll representations to solve audio in-terpolation and restoration problem. The model incorporates temporal and harmonic information from an approximate musical score (not necessarily belonging to the played piece), and spectral information from isolated piano sounds. The performance of the proposed approach is evaluated on the restoration of classical music pieces where we get about 5dB SNR improvement when 50 % of data frames are missing. |
| File Format | |
| Language | English |
| Publisher Date | 2012-01-01 |
| Access Restriction | Open |
| Subject Keyword | Latent Factor Tensor Factorisation Model Harmonic Information Spectral Information Classical Music Piece Data Frame Approximate Musical Score Snr Improvement Tensor Factorisation Restoration Problem Coupled Factorisation Audio Restoration Pro-posed Algorithmic Framework Piano Spectrogram Several Observed Tensor Tensor Factorization Isolated Piano Sound Piano Roll Representation Audio In-terpolation |
| Content Type | Text |
| Resource Type | Article |
