Voice-Activity Detection Using Long-Term Sub-Band Entropy Measure
Kun-Ching Wang · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 2012
A novel long-term sub-band entropy (LT-SubEntropy) measure, which uses improved long-term spectral analysis and sub-band entropy, is proposed for voice activity detection (VAD). Based on the measure, we can accurately exploit the inherent nature of the formant structure on speech spectrogram (the well-known as voiceprint). Results show that the proposed VAD is superior to existing standard VAD methods at low SNR levels, especially at variable-level noise.