Odyssey 2016

The Speaker and Language Recognition Workshop

Speaker Clustering and Diarization

0:23:19

Semi-supervised On-line Speaker Diarization for Meeting Data with Incremental Maximum A-posteriori Adaptation

Giovanni Soldi, Massimiliano Todisco, Héctor Delgado, Christophe Beaugeant, Nicholas Evans

0:22:58

Influence of transition cost in the segmentation stage of speaker diarization

Beatriz Martínez-González, José M. Pardo, Rubén San-Segundo, J.M. Montero

0:22:23

Analysis of the Impact of the Audio Database Characteristics in the Accuracy of a Speaker Clustering System

Jesús Jorrín Prieto, Carlos Vaquero, Paola García

0:21:54

Short- and Long-Term Speech Features for Hybrid HMM-i-Vector based Speaker Diarization System

Abraham Woubie Zewoudie, Jordi Luque, Javier Hernando

0:24:59

On the Use of PLDA i-vector Scoring for Clustering Short Segments

Itay Salmun, Irit Opher, Itshak Lapidot

Lecture Categories

Keynotes (3)
Text Dependent Speaker Verification (4)
Speaker Recognition: i-vector approaches (5)
Poster Session 1: Language Recognition (10)
Speaker Recognition in Multimedia Content (3)
Speaker & Language Recognition Systems (5)
Speaker & Language Recognition: Deep learning approaches (5)
Poster Session 2: Speaker Recognition I (10)
Industry & Forensics Track (Short Talks + Panel Session) (2)
NIST 2015 Language Recognition i-Vector Machine Learning Challenge (4)
Poster Session 3: Speaker Recognition II (7)
Speaker Clustering and Diarization (5)
Opening & Closing (2)