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· AI in audio & transcription

Enhance audio before transcription: the fastest way to improve accuracy

A practical pre-processing checklist: reduce noise, normalize levels, remove hum, and boost speech clarity before speech-to-text.

Why enhancement matters

Most transcription errors start with the recording: low volume, steady noise, or heavy hum. Improving the signal before speech-to-text often saves more time than post-editing.

A simple pre-processing checklist

  • Noise reduction: on for fan/AC hiss
  • Normalize: on to stabilize loudness
  • Hum filter: use for 50/60Hz mains buzz
  • Gain: increase carefully; too much can clip and hurt accuracy

Signs you pushed too far

  • harsh “s” sounds
  • metallic artifacts
  • distorted peaks

Aim for clarity, not “loud at all costs”.

Summary

If you want a clean transcript and better translation, start by making speech easier to hear.

How SonicScribe helps

Upload audio or video, get structured transcripts with translation and export options—apply what you read here faster without long manual rewrites.