Phase reconstruction of spectrograms with linear unwrapping: application to audio signal restoration

Paul Magron (1, 2) , Roland Badeau (1, 2) , B. David (1, 2)

1 S2A - Signal, Statistique et Apprentissage
2 TSI - Département Traitement du Signal et des Images

This paper introduces a novel technique for reconstructing the phase of modified spectrograms of audio signals. From the analysis of mixtures of sinusoids we obtain relationships between phases of successive time frames in the Time-Frequency (TF) domain. To obtain similar relationships over frequencies, in particular within onset frames, we study an impulse model. Instantaneous frequencies and attack times are estimated locally to encompass the class of non-stationary signals such as vibratos. These techniques ensure both the vertical coherence of partials (over frequencies) and the horizontal coherence (over time). The method is tested on a variety of data and demonstrates better performance than traditional consistency-based approaches. We also introduce an audio restoration framework and observe that our technique outperforms traditional methods.

Mots clés: Phase reconstruction; sinusoidal model- ing; linear unwrapping; phase consistency; audio restoration.

Domaines: Traitement du signal et de l'image [eess.SP]

Paul Magron, Roland Badeau, B. David. Phase reconstruction of spectrograms with linear unwrapping: application to audio signal restoration. EUSIPCO, Aug 2015, Nice, France. ⟨hal-01206804⟩