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ICASSP
2009
IEEE
14 years 3 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain
LREC
2010
193views Education» more  LREC 2010»
13 years 10 months ago
DiSCo - A German Evaluation Corpus for Challenging Problems in the Broadcast Domain
Typical broadcast material contains not only studio-recorded texts read by trained speakers, but also spontaneous and dialect speech, debates with cross-talk, voice-overs, and on-...
Doris Baum, Daniel Schneider, Rolf Bardeli, Jochen...
ICMCS
2007
IEEE
96views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Role Recognition in Broadcast News using Bernoulli Distributions
This work presents an approach for the recognition of the roles played by speakers participating in radio broadcast news (e.g. anchorman or guest). The approach includes two main ...
Alessandro Vinciarelli
LREC
2008
138views Education» more  LREC 2008»
13 years 10 months ago
Bridging the Gap between Linguists and Technology Developers: Large-Scale, Sociolinguistic Annotation for Dialect and Speaker Re
Recent years have seen increased interest within the speaker recognition community in high-level features including, for example, lexical choice, idiomatic expressions or syntacti...
Christopher Cieri, Stephanie Strassel, Meghan Lamm...
ICMCS
2007
IEEE
214views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Exploring Discriminative Learning for Text-Independent Speaker Recognition
Speaker verification is a technology of verifying the claimed identity of a speaker based on the speech signal from the speaker (voice print). To learn the score of similarity be...
Ming Liu, Zhengyou Zhang, Mark Hasegawa-Johnson, T...