Summary:
- This episode by Andrés Díaz explains how AI can detect filler words to enable precise editing for better pace, clarity, and credibility.
- Fillers are words or short pauses that signal thinking; AI analyzes not just the words but prosody, pauses, and intonation, using NLP, signal analysis, and deep learning.
- A practical workflow: record in high quality, let AI generate a rough transcription, then identify fillers by latency and prosody; you can remove them, replace with natural pauses, or turn them into smooth transitions.
- A five-step DIY plan: 1) record well and design a filler guide, 2) transcribe accurately and align punctuation, 3) apply AI filler detection, 4) decide to remove/replace/pause, 5) review by listening with/without headphones.
- Facts and features: Spanish fillers often include “este” with a pause; AI can distinguish fillers from emphasis on keywords; real-time detection is possible; tools can generate filler reports, support voice practice, and create editing templates; SEO keywords for discoverability are suggested.
- Practical tip: pair each detected filler with an action (set silence duration, use a logical connector, or rephrase) and consider a rule like removing/replacing if a filler repeats more than twice in 40 seconds.
- The message emphasizes balancing AI guidance with human judgment to maintain pace, clarity, and personality; outcomes aim for precise editing that keeps listeners engaged.
- The episode also invites engagement, offers advertising contact, and ends with contact information for Andrés Díaz.

Remeber you can contact me at
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