Multi-speaker activity detection using zero crossing rate

Multi-Speaker activity (MSA) detection helps in detecting the presence of whether the speech signals has a single speaker or multiple speaker speeches in the speech signal. It is easy to calculate the ZCRs (zero crossing rate) of the speech signal and makes a comparison with a suitable threshold (Th). Multi-speaker is declared as and when the zero crossing value exceeds the threshold. The impact of the proposed technique is compared to the existing technique by calculating the sample-by-sample ZCR value is demonstrated. Experimental results prove that the proposed ZCR technique achieves accurate results than the traditional techniques for MSA detection that uses the cepstrum resynthesis residual magnitude (CRRM) in the literature.