Voice Interview Analyzer

Abstract: Our Voice Interview Analyzer, a project built using Python, is designed to make the initial hiring process smarter and more efficient. Think of it as an AI assistant for recruiters; it listens to a candidate’s spoken answers to standard interview questions, quickly converts their speech to text, and then dives deep into the content. Using natural language processing, it analyzes not just what the candidate says, but how they say it gauging their confidence through their tone, the richness of their vocabulary, there emotions when they talk, and how relevant their answers are. This system generates an objective, data-driven report that helps hiring managers save a lot of time while ensuring a fair and consistent screening process that can uncover promising candidates who could otherwise be overlooked.

Keywords: Speaker diarization, speaker recognition, speech separation, Emotion detection, speech clarity, Confidence Score, overall confidence, actionable feedback.