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Speech activity detection (SAD) helps to detect the presence or absence of human speech for speech processing. ML assists to reduce the unwanted noisy and long non-speech intervals from the speech. SAD helps in making human-computer interfaces. It helps the hearing-impaired people to use the machine or computer using the voice commands [16]. It is language independent program. SAD is having two types: supervised SAD and unsupervised SAD. Supervised SAD uses the available training data and models a system accordingly, while unsupervised SAD is a feature-based technique.