DIFFERENTIAL-BASED VOICE DETECTION ALGORITHM
Original Publication Date: 2000-Jan-01
Included in the Prior Art Database: 2002-Sep-16
Voice Activity Detection (VAD) is used to detect voiced and unvoiced segments of a speech signal. The output of a VAD is a voiced/unvoiced decision, which may be used to control other algorithms such as Automatic Gain Control. Many VAD algorithms are complicated, using frequency domain analysis and other computationally intensive operations. Computationally simple algorithms are needed for real-time applications. In addition, many time- based VAD algorithms compare the signal energy against a threshold to determine whether voice activity is present. The difficulty with this approach is that quiet speech might not be detected, and a noisy signal might produce a false detection. There is a need for simple algorithms that detect both loud and soft utterances.