Title :
Forensic speaker recognition
Author :
Campbell, Joseph P. ; Shen, Wade ; Campbell, William M. ; Schwartz, Reva ; Bonastre, Jean-François ; Matrouf, Driss
Author_Institution :
Lincoln Lab., MIT, Lincoln, MA
fDate :
3/1/2009 12:00:00 AM
Abstract :
Looking at the different points highlighted in this article, we affirm that forensic applications of speaker recognition should still be taken under a necessary need for caution. Disseminating this message remains one of the most important responsibilities of speaker recognition researchers.
Keywords :
Gaussian processes; signal sampling; speaker recognition; statistical analysis; forensic speaker recognition; person identification; speech sample; statistical Gaussian mixture model; universal background model; voice identification; Authentication; Forensics; Law enforcement; Loudspeakers; NIST; Speaker recognition; Spectrogram; Speech enhancement; Speech recognition; Telephony;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2008.931100
