Corrective Models for Speech Recognition of Inflected Languages

This paper presents a corrective model for speech recognition of inflected languages. The model, based on a discriminative framework, incorporates word ngrams features as well as factored morphological features, providing error reduction over the model based solely on word n-gram features. Experiments on a large vocabulary task, namely the Czech portion of the MALACH corpus, demonstrate per

• Type: Conference
• Year: 2006
• Where: EMNLP
• Authors: Izhak Shafran, Keith Hall
• Keywords: Corrective Model, EMNLP 2006, EMNLP 2007, Word N-gram Features, Word Ngrams Features