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A Novel Approach Based on Adaptive Long-Term Sub-Band Entropy and Multi-Thresholding Scheme for Detecting Speech Signal
IEICE transactions on information and systems
Conventional entropy measure is derived from full-band (range from 0 Hz to 4 kHz); however, it can not clearly describe the spectrum variability during voice-activity. Here we propose a novel concept of adaptive long-term sub-band entropy (ALT-SubEnpy) measure and combine it with a multi-thresholding scheme for voice activity detection. In detail, the ALT-SubEnpy measure developed with four part parameters of sub-entropy which uses different long-term spectral window length at each part.doi:10.1587/transinf.e95.d.2732 fatcat:rigvac4knvf5nk2rrjq3eu7sde