Voice activity detection (VAD), also known as speech activity detection or speech detection, is a technique used in speech processing in which the presence or absence of human speech is detected. The main uses of VAD are in speech coding and speech recognition. It can facilitate speech processing, and can also be used to deactivate some processes during non-speech section of an audio session: it can avoid unnecessary coding/transmission of silence packets in Voice over Internet Protocol applications, saving on computation and on network bandwidth.
VAD is an important enabling technology for a variety of speech-based applications. Therefore various VAD algorithms have been developed that provide varying features and compromises between latency, sensitivity, accuracy and computational cost. Some VAD algorithms also provide further analysis, for example whether the speech is voiced, unvoiced or sustained. Voice activity detection is usually language independent.
It was first investigated for use on time-assignment speech interpolation (TASI) systems.
Read more about Voice Activity Detection: Algorithm Overview, Applications, Performance Evaluation, Implementations
Famous quotes containing the words voice and/or activity:
“I’m tired of earning my own living, paying my own bills, raising my own child. I’m tired of the sound of my own voice crying out in the wilderness, raving on about equality and justice and a new social order.... Self-sufficiency is exhausting. Autonomy is lonely. It’s so hard to be a feminist if you are a woman.”
—Jane O’Reilly, U.S. feminist and humorist. The Girl I Left Behind, ch. 7 (1980)
“... the will always wills to do something and thus implicitly holds in contempt sheer thinking, whose whole activity depends on “doing nothing.””
—Hannah Arendt (1906–1975)