Mastering Audio Transcription: Optimizing VAD for Real-Time AI Lectures
Summary During the development of a real-time AI lecture-transcription platform, we encountered a significant cost-efficiency and data-integrity bottleneck. The system was transmitting continuous audio streams—including long periods of silence and ambient classroom noise—directly to the transcription and LLM pipeline. This resulted in inflated token consumption, unnecessary backend processing, and degraded summarization quality due to “hallucinated” … Read more