Estonian Large Vocabulary Speech Recognition System for Radiology
Tanel Alumäe, Einar Meister · Frontiers in artificial intelligence and applications · 2010
This paper describes implementation and evaluation of an Estonian large vocabulary continuous speech recognition system prototype for the radiology domain. We used a 44 million word corpus of radiology reports to build a word trigram language model. We recorded a test set of dictated radiology reports using ten radiologists. Using speaker independent speech recognition, we achieved a 9.8% word error rate. Recognition worked in around 0.5 real-time. One of the prominent sources of errors were mistakes in writing compound words.