On the relevance of bandwidth extension for speaker identification
This work addresses speaker identification for telephony systems, but it is incremental as it focuses on evaluating existing parameterizations with bandwidth-extended data.
The paper tackled the problem of recognizing voices after bandwidth extension from telephone to full bandwidth, finding that MELCEPST parameterization can benefit from bandwidth extension in several situations.
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.