In this work, we analyze the cross-entropy function, widely used in classifiers both as a
performance measure and as an optimization objective. We contextualize cross-entropy in the …

Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS) has been
shown to be an excellent technique for the discrimination of glass originating from different …

This paper evaluates the performance of the twelve primary systems submitted to the
evaluation on speaker verification in the context of a mobile environment using the MOBIO …

This paper presents a large-scale study of the discriminative abilities of formant frequencies
for automatic speaker recognition. Exploiting both the static and dynamic information in …

Spea er comparison, as stressed by the current NIST i-vector Machine Learning Challenge
where the speech signals are not available, can be effectively performed through pattern …

Audio segmentation is important as a pre-processing task to improve the performance of many
speech technology tasks and, therefore, it has an undoubted research interest. This paper …

In forensic science, trace evidence found at a crime scene and on suspect has to be evaluated
from the measurements performed on them, usually in the form of multivariate data (for …

This work analyzes the performance of speaker recognition when carried out by human lay
listeners. In forensics, judges and jurors usually manifest intuition that people is proficient to …

This paper describes the ATVS-UAM systems submitted to the Audio Segmentation and
Speaker Diarization Albayzin 2010 Evaluation. The ATVS-UAM audio segmentation system is …

… We also found in Franco-Pedroso and González-Rodríguez (2016) that filled pauses were
among the most discriminative units for automatic speaker recognition. Because of their …