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ICASSP
2010
IEEE
15 years 2 days ago
Non-parallel training for many-to-many eigenvoice conversion
This paper presents a novel training method of an eigenvoice Gaussian mixture model (EV-GMM) effectively using non-parallel data sets for many-to-many eigenvoice conversion, which...
Yamato Ohtani, Tomoki Toda, Hiroshi Saruwatari, Ki...
CC
2000
Springer
134views System Software» more  CC 2000»
14 years 11 months ago
Pipelined Java Virtual Machine Interpreters
The performance of a Java Virtual Machine (JVM) interpreter running on a very long instruction word (VLIW) processor can be improved by means of pipelining. While one bytecode is i...
Jan Hoogerbrugge, Lex Augusteijn
TCAD
1998
110views more  TCAD 1998»
14 years 11 months ago
Application of genetically engineered finite-state-machine sequences to sequential circuit ATPG
—New methods for fault-effect propagation and state justification that use finite-state-machine sequences are proposed for sequential circuit test generation. Distinguishing se...
Michael S. Hsiao, Elizabeth M. Rudnick, Janak H. P...
ACL
2009
14 years 9 months ago
Active Learning for Multilingual Statistical Machine Translation
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
Gholamreza Haffari, Anoop Sarkar
JRTIP
2010
137views more  JRTIP 2010»
14 years 6 months ago
Cascaded online boosting
In this paper, we propose a cascaded version of the online boosting algorithm to speed-up the execution time and guarantee real-time performance even when employing a large number ...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti