A method is presented for performing speech recognition that is not dependent on a fixed word vocabulary. Particles are used as the recognition units in a speech recognition system which permits word-vocabulary independent speech decoding. A particle represents a concatenated phone sequence. Each string of particles that represents a word in the one-best hypothesis from the particle speech reco...

In recent years computational models have become more and more important in testing processing mechanisms assumed to underlie human spoken-word recognition. Models like TRACE (McClelland & Elman, 1986) and Shortlist (Norris, 1994) have given us much insight in the effects of, for instance, competition between words in the mental lexicon and the use of lexical information during word recognition...

In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to use lexicons based on the linguistic entities such as words and morphemes in openvocabulary domains. Instead, we build the lexicon by collecting variable length character sequences from the raw texts using a dynamic Ba...

This paper describes speech translation from Amharic-to-English, particularly Automatic Speech Recognition (ASR) with post-editing feature and AmharicEnglish Statistical Machine Translation (SMT). ASR experiment is conducted using morpheme language model (LM) and phoneme acoustic model (AM). Likewise, SMT conducted using word and morpheme as unit. Morpheme based translation shows a 6.29 BLEU sc...

We describe SRI’s large vocabulary conversational speech recognition system as used in the March 2000 NIST Hub-5E evaluation. The system performs four recognition passes: (1) bigram recognition with phone-loop-adapted, within-word triphone acoustic models, (2) lattice generation with transcription-mode-adapted models, (3) trigram lattice recognition with adapted cross-word triphone models, and ...

Handwritten word recognition is an important topic in pattern recognition. It has many applications in automated document processing such as postal address interpretation, bankcheck reading and form reading. There is evidence from psychological studies that word shape plays a significant role in human visual word recognition. High-level structures in handwriting, such as loops, junctions, turns...