8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Detection of Out-of-Vocabulary Words in Posterior Based ASR

Hamed Ketabdar, Mirko Hannemann, Hynek Hermansky

IDIAP Research Institute, Switzerland

Over the years, sophisticated techniques for utilizing the prior knowledge in the form of text-derived language model and in pronunciation lexicon evolved. However, their use has an undesirable effect: unexpected lexical items (words) in the phrase are replaced by acoustically acceptable in-vocabulary items [1]. This is the major source of error since the replacement often introduces additional errors [2, 3]. Improving the machine ability to handle these unexpected words would considerably increase the utility of speech recognition technology.

Full Paper

Bibliographic reference.  Ketabdar, Hamed / Hannemann, Mirko / Hermansky, Hynek (2007): "Detection of out-of-vocabulary words in posterior based ASR", In INTERSPEECH-2007, 1757-1760.