Detection of speech activity using feature model adaptation

Details Detection of speech activity using feature model adaptation Detection of speech activity using feature model adaptation

2006-01-31

2006-01-31

Young, W. R. (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S236000, C704S244000, C704S253000

Reexamination Certificate

active

06993481

ABSTRACT:
According to the invention, a method for detecting speech activity for a signal is disclosed. In one step, a plurality of features is extracted from the signal. An active speech probability density function (PDF) of the plurality of features is modeled, and an inactive speech PDF of the plurality of features is modeled. The active and inactive speech PDFs are adapted to respond to changes in the signal over time. The signal is probability-based classifyied based, at least in part, on the plurality of features. Speech in the signal is distinguished based, at least in part, upon the probability-based classification.

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