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» Corrected tandem features for acoustic model training
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EMNLP
2008
13 years 9 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
ISMIR
2004
Springer
100views Music» more  ISMIR 2004»
14 years 1 months ago
Well-Tempered Spelling: A Key Invariant Pitch Spelling Algorithm
In this paper is described a data-driven algorithm for the functionally correct spelling of MIDI pitch values in terms of Western musical notation. Input is in the form of MIDI fi...
Josh Stoddard, Christopher Raphael, Paul E. Utgoff
IKE
2008
13 years 9 months ago
Text-independent Speaker Identification Based on MAP Channel Compensation and Pitch-dependent Features
One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speake...
JiQing Han, RongChun Gao
EJASMP
2010
196views more  EJASMP 2010»
13 years 2 months ago
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
Computer Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with nonnative speech that is particularly challengin...
Joost van Doremalen, Catia Cucchiarini, Helmer Str...
SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
11 years 10 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic