Combination of strongly and weakly constrained recognizers for reliable detection of OOVS
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Hynek Hermansky | Ariya Rastrow | Lukás Burget | Pavel Matejka | Sanjeev Khudanpur | Jan Cernocký | Mirko Hannemann | Christopher M. White | Petr Schwarz
[1] Hervé Bourlard,et al. Improving posterior based confidence measures in hybrid HMM/ANN speech recognition systems , 1998, ICSLP.
[2] Lukás Burget,et al. The AMI System for the Transcription of Speech in Meetings , 2007, ICASSP.
[3] Hermann Ney,et al. Confidence measures for large vocabulary continuous speech recognition , 2001, IEEE Trans. Speech Audio Process..
[4] Pavel Matejka,et al. Hierarchical Structures of Neural Networks for Phoneme Recognition , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[5] James Glass,et al. Modelling out-of-vocabulary words for robust speech recognition , 2002 .
[6] Hermann Ney,et al. Open vocabulary speech recognition with flat hybrid models , 2005, INTERSPEECH.
[7] Petr Fousek. OPTIMIZING BOTTLE-NECK FEATURES FOR LVCSR FrantiGr´ , 2008 .
[8] Andreas Stolcke,et al. Finding consensus among words: lattice-based word error minimization , 1999, EUROSPEECH.
[9] Alex Acero,et al. Maximum Entropy Confidence Estimation for Speech Recognition , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[10] Hynek Hermansky,et al. Detection of out-of-vocabulary words in posterior based ASR , 2007, INTERSPEECH.
[11] Hermann Ney,et al. Cross-Site and Intra-Site ASR System Combination: Comparisons on Lattice and 1-Best Methods , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[12] Fernando Pereira,et al. Efficient general lattice generation and rescoring , 1999, EUROSPEECH.