Two types of sound tool for editing speech signal: sound cutter and symbolic sound editor

Abstract

In recent years multimedia have been frequently used in almost every part of educational settings. In particular the use of sound has produced much effectiveness in a variety of educational activities. In this demonstration, we show two novel types of sound tool for editing speech signal called by "Sound Cutter" and "Symbolic Sound Editor". These sound tools not only facilitate producing hypermedia teaching/studying materials, but also assist language education effectively. Sound Cutter decomposes automatically a continuous speech signal into several short segments based on the pause positions, and assigns serial ID into them to register with a database. This process allows users to reconstruct the segmented sound easily and reproduce a new file as they like. Next Symbolic Sound Editor splits automatically a speech signal into much smaller segments and put index numbers into them. User can edit the sounds easily, referring the index numbers instead of sound wave form image.