This is the accompanying page for the article Audio dequantization using instantaneous frequency authored by Vojtěch Kovanda and Pavel Rajmic.
We present a dequantization method that employs a phase-aware regularizer, originally successfully applied in an audio inpainting problem. The method maintains the temporal continuity of sinusoidal components in the audio signal time-frequency representation and avoids the energy loss artifacts commonly encountered with l1-based regularization approaches. The proposed method is called the Phase-Aware Audio Dequantizer (PHADQ). The methods are evaluated using the objective metric SDR and PEMO-Q ODG.
Audio examples
You can listen to selected audio excerpts. Other examples can be generated by running the available Matlab code.
Violin, 7 bps
| Original audio | |
| Quantized audio (quantized) | |
| Reconst. via the CP algorithm, (CP (sparsity-based)) | |
| Consistent variant of B-PHADQ (B-PHADQ (consistent)) | |
| Inconsistent variant of B-PHADQ (B-PHADQ (inconsistent)) |
Violin, 8 bps
| Original audio | |
| Quantized audio (quantized) | |
| Reconst. via the CP algorithm, (CP (sparsity-based)) | |
| Consistent variant of B-PHADQ (B-PHADQ (consistent)) | |
| Inconsistent variant of B-PHADQ (B-PHADQ (inconsistent)) |
Comparison in terms of SDR and ODG on IRMAS dataset (up) and EBU SQAM dataset (down)
