Real-Time Signal Reconstruction from Short-Time Fourier Transform Magnitude Spectra Using FPGAs

Mouhcine Chami 1 Joseph Di Martino 2 Laurent Pierron 3 El Hassan Ibn Elhaj 1
1 INPT - Institut National de Postes et Télécommunications [Rabat]
2 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Real Time implementation of new frequential domain synthesizer algorithm based on the Nawab approach for signal reconstruction from short-time Fourier transform magnitude spectra is proposed in this paper. A register-transferlevel (RTL) synthesizer based on our algorithm was designed and simulated using VHDL as the hardware description language in respecting real time delay. The implemented RTL model was verified by comparing its performances with those obtained from a Python language implementation of the same synthesizer. We prove in particular that the proposed algorithm can be implemented in real time with a sampling frequency up to 60 kHz. Finally a real time implementation using an Altera DE2 development kit, generating good quality audio signals, was implemented.
Keywords : Short-Time Fourier Transform Magnitude-only reconstruction Python RTL VHDL Real Time systems Altera Kit Development
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Conference papers
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Mouhcine Chami, Joseph Di Martino, Laurent Pierron, El Hassan Ibn Elhaj. Real-Time Signal Reconstruction from Short-Time Fourier Transform Magnitude Spectra Using FPGAs. 5th. International Conference on Information Systems and Economic Intelligence - SIIE ̓ 2012, Feb 2012, Djerba, Tunisia. ⟨hal-00761783⟩

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