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

Mouhcine Chami 1 Maryem Immassi 1 Joseph Di Martino 2
2 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : 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.
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Journal articles
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https://hal.inria.fr/hal-01184625
Contributor : Joseph Di Martino <>
Submitted on : Monday, August 17, 2015 - 9:42:39 AM
Last modification on : Tuesday, December 18, 2018 - 4:38:02 PM

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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, Springer Verlag, 2015, 18 (3), pp.9. ⟨10.1007/s10772-015-9281-9⟩. ⟨hal-01184625⟩

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