When AI Voiceover Mispronounces a Word: Four Fixes

Mispronunciation is the number-one reason AI voiceovers get redone. Here are four fixes, ordered by how much they cost you.

Fix 1: rewrite the script (fastest)

Write engine ex instead of nginx. Downside: the script and subtitles change too — "engine ex" showing up in your captions gives the game away. Fine for a one-off.

Fix 2: try a different voice

The same word can be read differently by different voices, especially acronyms and loanwords. Trying two or three voices from the library often lands one that gets it right. Downside: it treats the symptom, and breaks again in another language.

Fix 3: pronunciation dictionary (recommended)

A pronunciation dictionary is a written-form → spoken-form table that affects only the reading, never the script or subtitles. Configure once; every later generation applies it.

SaaS       → sass
nginx      → engine ex
VoiceSmiths → Voice Smiths

It's the only approach that gets both the audio and the captions right. Essential for long-form audiobooks — a proper noun appearing a hundred times is fixed once, with no per-chapter checking.

Fix 4: forced alignment as QA

After generating, run the audio and script through forced alignment. It returns a confidence (loss) value per word, and unusually low confidence usually marks a mispronunciation — far faster than listening to hours of audio line by line.

Practical setup

• Start every project with a "brand terms" dictionary: product names, people, technical words
• Keep a separate dictionary for language-specific ambiguities
• Run forced alignment over long audio and scan the low-confidence words
• Emotion tags and dictionaries stack without conflict (see the emotion tag cheatsheet)