Phonetic state tied-mixture tone modeling for large vocabulary continuous Mandarin speech recognition
Tai-Hsuan Ho, Chin-Jung Liu, Herman Sun, Ming-Yi Tsai, Lin-shan Lee · 1999
This paper describes a practical dictation system that is able to compensate for the lack of a large text database and reports on the results of eld tests in which the system was used to make medical rehabilitation diagnosis reports in a hospital. Our dictation system uses two recognition engines: continuous speech recognition and isolated word (including connected words) recognition engines. When a user makes a report, the two recognition engines can be selectively operated in a single window through voice commands or mouse click. The system operates on common personal computers under the Windows O.S. A eld test conducted in noisy therapeutic work rooms that compared the performance of speech input system comparing to conventional keyboard input system for the medical rehabilitation eld, demonstrated the e ectiveness of the dictation system.