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ICASSP
2011
IEEE
12 years 10 months ago
Efficient out-of-vocabulary term detection by n-gram array indices with distance from a syllable lattice
For spoken document retrieval, it is very important to consider Out-of-Vocabulary (OOV) and mis-recognition of spoken words. Therefore, sub-word unit based recognition and retriev...
Keisuke Iwami, Yasuhisa Fujii, Kazumasa Yamamoto, ...
ICASSP
2008
IEEE
14 years 1 months ago
Confidence estimation, OOV detection and language ID using phone-to-word transduction and phone-level alignments
Automatic Speech Recognition (ASR) systems continue to make errors during search when handling various phenomena including noise, pronunciation variation, and out of vocabulary (O...
Christopher M. White, Geoffrey Zweig, Lukas Burget...
MLMI
2007
Springer
14 years 25 days ago
Modeling Vocal Interaction for Segmentation in Meeting Recognition
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
Kornel Laskowski, Tanja Schultz
EMNLP
2010
13 years 4 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
ICPR
2006
IEEE
14 years 7 months ago
Phoneme segmentation of speech
In most approaches to speech recognition, the speech signals are segmented using constant-time segmentation, for example into 25 ms blocks. Constant segmentation risks losing info...
Bartosz Ziólko, Suresh Manandhar, Richard C...