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.
Type de document :
Article dans une revue
International Journal of Speech Technology, Springer Verlag, 2015, 18 (3), pp.9. 〈10.1007/s10772-015-9281-9〉
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https://hal.inria.fr/hal-01184625
Contributeur : Joseph Di Martino <>
Soumis le : lundi 17 août 2015 - 09:42:39
Dernière modification le : jeudi 11 janvier 2018 - 06:27:31

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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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