A voice-input programming system using basic-like language

This paper describes a speech recognition system developed as a voice-input programming system. A modified version of BASIC which we call ´SPOKEN-BASIC-1´ is selected as a task for speech recognition. The system consists of four major components: acoustic, lexical matching, syntactic and semantic processors. 71 sentences spoken by each of four speakers have been applied to the system for gathering several statistics on system performance. The system have achieved a sentence recognition rate of 85.5 %. The average time required to recognize an utterance is from 1/4 to 1/5 times real time on the large scale computer. The two space search strategies, depth-first method and best-first method have been compared quantitatively in their effectiveness. Further, various types of knowledge sources have been investigated in their contribution to the system performance.