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:
“A great man quotes bravely, and will not draw on his invention when his memory serves him with a word as good. What he quotes, he fills with his own voice and humour, and the whole cyclopedia of his table-talk is presently believed to be his own.”
—Ralph Waldo Emerson (1803–1882)
“For art to exist, for any sort of aesthetic activity or perception to exist, a certain physiological precondition is indispensable: rapture.”
—Friedrich Nietzsche (1844–1900)