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International Journal of Speech Technology
Erschienen in: International Journal of Speech Technology 3/2018

06.06.2018

Determining the optimal conditions for signal reconstruction based on STFT magnitude

verfasst von: Raja Abdelmalek, Zied Mnasri, Faouzi Benzarti

Erschienen in: International Journal of Speech Technology | Ausgabe 3/2018

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Abstract

Signal reconstruction from a given sequence of short-time Fourier transform magnitude spectra without phase information has been a challenging topic since many years. The key issue is how to invert a sequence of overlapping magnitude spectrum containing minimal phase data to generate a real-valued signal free of audible artifacts. Yet, practical implementations are still not able to accurately do that. Based on an implementation of the classical RTISI method for a variety of signal types including both monophonic and polyphonic audio signals such as speech and music, this study aims to determine the optimal conditions required to reconstruct a signal from magnitude spectrum, to understand the relevance of the contribution of each parameter and to take care of the recording conditions of the original signal. Results prove that an optimal selection of the frame length, the shift rate and the iterations number allows enhancing the quality of the reconstructed signals.
Vorheriger Artikel Distant speech processing for smart home: comparison of ASR approaches in scattered microphone network for voice command
Nächster Artikel Research on English pronunciation training based on intelligent speech recognition

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Metadaten
Titel
Determining the optimal conditions for signal reconstruction based on STFT magnitude
verfasst von
Raja Abdelmalek
Zied Mnasri
Faouzi Benzarti
Publikationsdatum
06.06.2018
Verlag
Springer US
Erschienen in
International Journal of Speech Technology / Ausgabe 3/2018
Print ISSN: 1381-2416
Elektronische ISSN: 1572-8110
DOI
https://doi.org/10.1007/s10772-018-9522-9

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