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...
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
We describe a proposal on spelling correction intended to be applied on Galician, a Romance language. Our aim is to put into evidence the flexibility of a novelty technique that p...
Manuel Vilares Ferro, Juan Otero, Francisco-Mario ...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
This paper presents details of the RWTH large vocabulary continuous speech recognition system used in the VERBMOBIL spontaneous speech translation system. In particular, we report...
Stephan Kanthak, Sirko Molau, Achim Sixtus, Ralf S...