Compressive Sensing for Music Signals: Comparison of Ttransforms with Coherent Dictionaries

Raj CS, Sreenivas TV. Compressive Sensing for Music Signals: Comparison of Ttransforms with Coherent Dictionaries. In: AES Conference: 42nd International Conference: Semantic Audio. Audio Engineering Society; 2011. Paper 4-3. Available from: https://aes.org/publications/elibrary-page/?id=15946

@inproceedings{Raj2011_15946,
  author = {Raj, Ch. Srikanth and Sreenivas, T. V.},
  title = {{Compressive Sensing for Music Signals: Comparison of Ttransforms with Coherent Dictionaries}},
  booktitle = {AES Conference: 42nd International Conference: Semantic Audio},
  note = {Paper 4-3},
  year = {2011},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15946}
}

TY  - CPAPER
TI  - Compressive Sensing for Music Signals: Comparison of Ttransforms with Coherent Dictionaries
AU  - Raj, Ch. Srikanth
AU  - Sreenivas, T. V.
T2  - AES Conference: 42nd International Conference: Semantic Audio
M1  - Paper 4-3
PY  - 2011
DA  - 2011/07/06
UR  - https://aes.org/publications/elibrary-page/?id=15946
PB  - Audio Engineering Society
LA  - en
AB  - Compressive Sensing (CS) is a new sensing paradigm which permits sampling of a signal at its intrinsic information rate which could be much lower than Nyquist rate, while guaranteeing good quality reconstruction for signals sparse in a linear transform domain. We explore the application of CS formulation to music signals. Since music signals comprise of both tonal and transient nature, we examine several transforms such as discrete cosine transform (DCT), discrete wavelet transform (DWT), Fourier basis and also non-orthogonal warped transforms to explore the effectiveness of CS theory and the reconstruction algorithms. We show that for a given sparsity level, DCT, overcomplete, and warped Fourier dictionaries result in better reconstruction, and warped Fourier dictionary gives perceptually better reconstruction. “MUSHRA” test results show that a moderate quality reconstruction is possible with about half the Nyquist sampling.
ER  -