An architectural comparison of signal reconstruction algorithms from short-time Fourier transform magnitude spectra

Mouhcine Chami (1) , Maryem Immassi (1) , Joseph Di Martino (2)

1 INPT - Institut National des Postes et Télécommunications [Rabat]
2 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication

This paper presents a comparison of different spectral re-synthesis algorithms. This study describes more particularly the Di Martino and Pierron (D&P) and real-time iterative spectrogram inversion with look-ahead algorithms from an architectural point of view because they are dedicated to real-time process. We use Python (as simulation language) because it allows easily the comparison of performances of the all the algorithms studied according to some important algorithm parameters as the number of iterations or the number of look-ahead frames. This comparison confirms the advantage of using D&P for real-time process from an architectural point of view.

Mots clés: Short-time Fourier transform Magnitude-only reconstruction; Python; VHDL; Real-time systems

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

Mouhcine Chami, Maryem Immassi, Joseph Di Martino. An architectural comparison of signal reconstruction algorithms from short-time Fourier transform magnitude spectra. International Journal of Speech Technology, 2015, 18 (3), pp.9. ⟨10.1007/s10772-015-9281-9⟩. ⟨hal-01184625⟩