Over the last years, automatic speaker
recognition (ASR) has undergone an increasing use in
applications such as access control, forensics and system
customisation, among others, relying traditionally on
short-term features related to the spectrum of the voice.
However, since human speaker recognition uses other sources
of information like prosody, there is reason to believe that
they can play an important role in the ASR task, adding
complementary knowledge and improving accuracy. Furthermore,
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