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An algorithm for Voice Activity Detection (VAD) that determines which packets have vocal content and, hence, need to be sent, and which instead can be supressed as they are not meaningful for the communication
A repository for code used to produce the results the ICASSP 2024 paper: "SELF-SUPERVISED PRETRAINING FOR ROBUST PERSONALIZED VOICE ACTIVITY DETECTION IN ADVERSE CONDITIONS"
A comprehensive AI companion leveraging advanced semantic analysis, sentiment detection, and voice processing to provide personalized and context-aware interactions using Autogen, semantic-router, and VoiceProcessingToolkit.
Hello guys, welcome to my Data Science Portfolio. I include some knowledges I earn in my journey. I'll include some case study, papers, and code. Please check the readme.