Fast Silence Detection
Original Publication Date: 1984-Dec-01
Included in the Prior Art Database: 2005-Feb-06
Fast silence detection quickly and inexpensively recognizes periods of 'silence,' using vocoder techniques to identify the actual background sounds, so that microprocessors can calculate quickly enough to operate in realtime. It is important in many speech processing applications, particularly the currently popular isolated word recognition techniques, to be able to identify the 'silence' or background noise portions of a signal which contains sounds, especially speech sounds and background noise or silences between these sounds. At the beginning of a session in which the 'silence' is to be detected, for a period of N seconds, no intentional sounds are made. Typically N is about 8. During this period the silence signal, presumably very quiet, is processed.