Voice is a fundamental way to communicate with people in a natural atmosphere where we come across many distortions. Speaker identifcation is a new boon in
forensic science which is essential to identify a specifc speaker and that a voice cannot
be changed and it will prove that it belongs to a single individual. Some voices are
naturally or accidentally distorted whereas some are intentionally distorted to disguise
the identity of the speaker. Te disguised or distorted voices give different values than
the authentic ones. Te voices can be accidentally disguised by natural environment,
by being in a hot or cold atmosphere or deliberately by changing the accent, by keeping
hand on mouth, by pulling cheeks, by creating nasal voice etc. Te analysis of these
voice samples is done by examining using sofware like Gold Wave, Praat and SSL
(speech sound lab). Te sofware help us to examine the voice samples right from
extracting clue words to their spectral analysis which are known as spectrograms. Calculating the hash values of the samples provide another authentication to the original
samples. Hash value is an alpha-numeric value which gives unique identity to the samples. Hash value has different algorithms but MD5(Message digest) and SHA1(Secure
hash algorithm) are more reliable and secured, SHA1 being even more secured than
MD5. Te differences are made between the samples by looking at the pitch and intensity of the voice of the speakers. Te pitch of the two voice samples of the same speaker
can also be different because of the natural variation present in the speaker Voice