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» Using clustering comparison measures for speaker recognition
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MLMI
2005
Springer
14 years 25 days ago
The TNO Speaker Diarization System for NIST RT05s Meeting Data
The TNO speaker speaker diarization system is based on a standard BIC segmentation and clustering algorithm. Since for the NIST Rich Transcription speaker dizarization evaluation m...
David van Leeuwen
ICMCS
2005
IEEE
128views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Low-complexity automatic speaker recognition in the compressed GSM AMR domain
This paper presents an experimental implementation of a low-complexity speaker recognition algorithm working in the compressed speech domain. The goal is to perform speaker modeli...
Matteo Petracca, Antonio Servetti, Juan Carlos De ...
ICASSP
2011
IEEE
12 years 11 months ago
Structural MAP adaptation in GMM-supervector based speaker recognition
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, mainly targeting speaker and session variation disentangling under the Maximum a...
Marc Ferras, Koichi Shinoda, Sadaoki Furui
ICASSP
2011
IEEE
12 years 11 months ago
Intra-session variability compensation and a hypothesis generation and selection strategy for speaker segmentation
This paper addresses the problem of speaker segmentation in two-speaker telephone conversations, using an eigenvoice based factor analysis approach. We present a set of improvemen...
Carlos Vaquero, Alfonso Ortega, Eduardo Lleida