Improve speech to text accuracy in real-time transcription by capturing clear audio, using lossless audio formats and techniques like speaker diarization or separate channels. Real-time transcription can be challenging due to human-to-human conversations with accents, overlapping voices, and unfamiliar words. To address this, AI-assisted transcription can help improve accuracy when combined with factors like sentence boundary detection, punctuation detection, and custom vocabulary training. Using APIs like Symbl.ai's context-aware conversation intelligence platform can also enhance the accuracy of real-time transcription by providing tools for speaker diarization, custom vocabulary, and advanced contextual AI.