Summary
We discuss the convenience to employ probabilistic methods for the classification of time sequences instead of deterministic ones, with particular attention to the general characters of human voice, and, starting from Bayes theorem, we state the same working formula given by Gamba. We give also some results concerning the application of the method to the recognition of human voice.
Riassunto
Si discute la convenienza di usare metodi probabilistici per la classificazione delle sequenze temporali, paragonandoli a quelli deterministici, in rapporto alle partioolari caratteristiclie della voce Umana e si deduce dal teorema di Bayes la stessa formula data da Gamlba. Si danno anche dei risultati relativi all’applicazione del metodo al riconoscimento della voce umana.
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Pavella, L.P., Beineri, M.T. & Righini, G.U. The probabilistic classification of time sequences and its application to the recognition of human voice. Nuovo Cim 36, 1023–1034 (1965). https://doi.org/10.1007/BF02749800
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DOI: https://doi.org/10.1007/BF02749800