  In this paper we discuss the relevance of bandwidth extension for speaker
identification tasks. Mainly we want to study if it is possible to recognize
voices that have been bandwith extended. For this purpose, we created two
different databases (microphonic and ISDN) of speech signals that were
bandwidth extended from telephone bandwidth ([300, 3400] Hz) to full bandwidth
([100, 8000] Hz). We have evaluated different parameterizations, and we have
found that the MELCEPST parameterization can take advantage of the bandwidth
extension algorithms in several situations.
