Article,
A Study of Digital Media Based Voice Activity Detection Protocols
INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (3): 422-426 (June 2023)
Abstract
Speaker identification is critical for a variety of voice based applications in safety and surveillance systems, and these kinds of methods are now employed in household appliances for user controlled device toggling. A comprehensive and language uncertain Voice Activity Detection VAD system is critical for Digital Media Content DMC . VAD systems are utilised for DMC generation in a variety of methods, including supplementing subtitle formation, detecting and correcting subtitle drifting, and sound distortion. The goal of this article is to provide a comprehensive overview of numerous strategies utilised for voice recognition in the entertainment industry. An analysis of several speaker recognition strategies used earlier and those utilised in current studies was explored, and a clear understanding of the superior methodology was discovered through a survey across various literature for more than two decades. We give a comprehensive survey of DNN based VADs using DMC data concerning accuracy, noise sensitivity, and language agnostic performance in this paper. Nikhil Kumar | Sumit Dalal Ä Study of Digital Media-Based Voice Activity Detection Protocols" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-3 , June 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd56376.pdf Paper URL: https://www.ijtsrd.com.com/engineering/electronics-and-communication-engineering/56376/a-study-of-digital-mediabased-voice-activity-detection-protocols/nikhil-kumar
