Effects of gender information in text-independent and text-dependent speaker verification

Abstract

It is well-known that for speaker recognition task, gender-dependent acoustic modeling performs better than gender-independent modeling. The practice is to use the gender ground-truth and to train gender-dependent models. However, such information is not necessarily available, especially if speakers are remotely enrolled. A way to overcome this is to use a… (More)
DOI: 10.1109/ICASSP.2017.7953180

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