Paper: Portability Issues For Speech Recognition Technologies

ACL ID H01-1059
Title Portability Issues For Speech Recognition Technologies
Venue Human Language Technologies
Session Main Conference
Year 2001

Although there has been regular improvement in speech recog- nition technology over the past decade, speech recognition is far from being a solved problem. Most recognition systems are tuned to a particular task and porting the system to a new task (or lan- guage) still requires substantial investment of time and money, as well as expertise. Todays state-of-the-art systems rely on the avail- ability of large amounts of manually transcribed data for acous- tic model training and large normalized text corpora for language model training. Obtaining such data is both time-consuming and expensive, requiring trained human annotators with substantial a- mounts of supervision. In this paper we address issues in speech recognizer portabil- ity and activities aimed at developing generic core speech ...