Automatic speech recognition for assistive writing in speech supplemented word prediction

This paper describes a system for assistive writing, the Speech Supplemented Word Prediction Program (SSWPP). This system uses the first letter of a word typed by the user as well as the user's (possibly low-intelligibility) speech to predict the intended word. The ASR system, which is the focus of this paper, is a speaker-dependent isolated-word recognition system. Word-level results from a non-dysarthric speaker indicate that almost all errors could be corrected by the SSWPP language model. Results from five speakers with

• Type: Journal
• Year: 2010
• Where: INTERSPEECH
• Authors: John-Paul Hosom, Tom Jakobs, Allen Baker, Susan Fager
• Keywords: INTERSPEECH 2010, Signal Processing, Speaker-dependent Isolated-word Recognition, Speech Supplemented Word, SSWPP Language Model