A Nonnegative Subspace Approach for Packet Loss Concealment
نویسندگان
چکیده
This paper presents a nonnegative subspace approach for packet loss concealment problem. The magnitude spectrogram of speech signal is projected onto nonnegative subspace using nonnegative matrix factorization algorithm. Consequently, packet loss concealment problem is transformed to linear interpolation of the projective coefficients in nonnegative subspace. Simulation examples, objective tests show that packet loss concealment in the nonnegative subspace results in improved perceptual quality of speech compared to popular packet loss concealment algorithms. Streszczenie. Zaprezentowano metodę subprzestrzeni dla rozwiązania problemu straty pakietu. Spektrogram amplitudowy sygnału mowy .jest poddawany projekcji do nieujemnej podprzestrzeni przy wykorzystaniu macierzy faktoryzacji. W rezultacie problem staje się możliwy do liniowej interpolacji. Osiągnięto dostrzegalną poprawę jakości przetwarzania sygnału mowy. (Metoda nieujemnej podprzestrzeni stosowana w przypadku straty pakietu)
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