Abstract
From an investigation of a statistical model-based voice activity detector (VAD), it is found that the likelihood ratio defined in the VAD has a fundamental problem at the offset regions of the speech signals. Thus, we analyze the behavioural mechanism of the likelihood ratio, identify the reason for the unwanted phenomenon, and propose a solution based on a smoothed likelihood ratio. Objective test results show that the proposed method gives a significant improvement to the original VAD. Additionally, the improved VAD results in a performance that is even superior to G.729B and comparable to AMR VAD option 2.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
