WaveWash: Clean, Repair, and Dedupe Audio Datasets Before ML Training
Training speech models (Whisper, TTS, voice cloning) often breaks down because of dirty audio data: clipping, DC offset, background noise, low SNR, and duplicate samples quietly inflating validation metrics. I built WaveWash to automate audio quality control and data prep so developers don't have t…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-14 11:09 · DEV Community — Machine Learning
WaveWash: Clean, Repair, and Dedupe Audio Datasets Before ML Training