RENOVATION OF ARCHIVE AUDIO RECORDINGS USING SPARSE AUTOREGRESSIVE MODELING AND BIDIRECTIONAL PROCESSING - Publikacja - MOST Wiedzy

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RENOVATION OF ARCHIVE AUDIO RECORDINGS USING SPARSE AUTOREGRESSIVE MODELING AND BIDIRECTIONAL PROCESSING

Abstrakt

The paper presents a new approach to elimination of broadband noise and impulsive disturbances from archive audio recordings. The proposed adaptive Kalman-like algorithm, based on a sparse autoregressive model of the audio signal, simultaneously detects noise pulses, interpolates the irrevocably distorted samples and performs signal smoothing. It is shown that bidirectional (forward-backward) processing of the archive signal improves smoothing efficiency and allows one to localize noise pulses more accurately, leading to noticeable performance improvements compared to unidirectional processing.

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
materiały konferencyjne indeksowane w Web of Science
Tytuł wydania:
Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) strony 5949 - 5953
Język:
angielski
Rok wydania:
2013
Opis bibliograficzny:
Niedźwiecki M., Ciołek M..: RENOVATION OF ARCHIVE AUDIO RECORDINGS USING SPARSE AUTOREGRESSIVE MODELING AND BIDIRECTIONAL PROCESSING, W: Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 2013, IEEE,.
Weryfikacja:
Politechnika Gdańska

wyświetlono 5 razy

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