14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

A New Bayesian Network to Assess the Reliability of Speaker Verification Decisions

Jesús Villalba, Eduardo Lleida, Alfonso Ortega, Antonio Miguel

Universidad de Zaragoza, Spain

In some situations the quality of the signals involved in a speaker verification trial is not as good as needed to take a reliable decision. In this work, we present a new method based on Bayesian networks and quality measures to estimate if the trial decision is reliable. We present experiments on the NIST SRE2010 dataset degraded with additive noise. A system well calibrated for clean speech, produces a large actual DCF on the degraded dataset. We use our method to discard the unreliable trials and achieve a dramatic improvement of the cost values. We also prove that our method outperforms previously published approaches.

Full Paper

Bibliographic reference.  Villalba, Jesús / Lleida, Eduardo / Ortega, Alfonso / Miguel, Antonio (2013): "A new Bayesian network to assess the reliability of speaker verification decisions", In INTERSPEECH-2013, 3132-3136.