Noise reduction can harm speech-to-text accuracy by removing valuable audio cues needed for transcription. Deepgram's approach avoids preprocessing and instead develops models to work with raw audio, ensuring better transcription even in noisy environments. Their Nova-3 model thrives in real-world conditions by preserving all
Table of contents
TL;DRThe Technical Trade-Off in Speech-to-Text PipelinesTwo Use Cases for Noise Reduction—with Conflicting Impacts on Speech-to-TextThe Technical Reality of Modern ASRDeepgram's Approach: Solving Root Challenges in Speech-to-TextMaking Evidence-Based DecisionsSort: