How to Fix Text-to-Speech Pronunciation (Simple Respelling Tricks)

Troubleshoot · Updated 2026-08-16

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Your text-to-speech voice is reading everything perfectly, then it hits one word and mangles it. A name, an acronym, a word that's spelled nothing like it sounds. It's annoying, and it can ruin an otherwise clean recording. The good news is there's a simple fix that works on almost any TTS tool, and it takes seconds. You don't need a special feature or a settings menu. You just change the text you paste.

The quick fix: respell the word the way it sounds

A neural voice reads exactly what you give it. So when it says a word wrong, don't fight the word, replace it with a spelling that produces the sound you want.

If "niche" comes out as "nitch," paste "neesh" instead. If "gyro" (the food) reads as "jai-roh," type "yee-roh." If a name like "Sean" comes out as "seen," swap in "Shawn." The audio will say it correctly even though the spelling looks strange on the page. Nobody hears your text. They only hear the result.

This is the whole trick, and it covers most pronunciation problems you'll run into. Everything below is just applying it to specific cases.

Why text to speech gets words wrong in the first place

It helps to know why this happens, so you can predict it. A neural voice guesses how to say a word from its spelling and the words around it. English is inconsistent, so the guess fails on anything unusual: proper names, brand words, foreign or borrowed terms, and words that are spelled nothing like they sound. "Colonel" is a classic. So is "Worcestershire."

The voice isn't broken when this happens. It just met a word it had no reliable way to pronounce. That's your cue to step in and respell it.

How to fix names and unusual spellings

Names are the biggest offender because there's no rule the voice can lean on. Say the name out loud, then spell what you just said.

Break longer names into chunks with hyphens or spaces. The voice tends to handle "Shiv-awn" better than a single odd block of letters, and the hyphen also nudges a small natural pause between syllables.

How to fix acronyms and initialisms

Acronyms need a decision first: do you want the letters read out, or read as a word?

If you want the letters spoken one by one, separate them so the voice doesn't try to blend them: "F B I" or "F.B.I." The spaces or periods force it to treat each letter on its own.

If you want it said as a word, leave it joined: "NASA" reads as "nassa," which is usually what you want. "SCUBA" and "RADAR" work the same way.

When you're not sure, generate it both ways and keep whichever sounds right. It costs you one extra preview.

How to add pauses and control pacing

Sometimes the problem isn't a single word, it's the voice running two things together or rushing a beat. Punctuation is your pacing control.

A comma gives a short pause. A period gives a longer one. A line break can help too. If a sentence feels breathless, add a comma where you'd naturally take a breath. If two ideas smash together, split them into two sentences. The voice reads your punctuation as timing cues, so you can shape the rhythm just by editing the text.

How to fix numbers, dates, and symbols

Numbers get read in whatever way the voice guesses, which isn't always what you meant. Spell out anything ambiguous.

A quick workflow that saves re-recording

Do your pronunciation fixes before you download, not after. The cleanest way:

  1. Paste your text and press play to preview it.
  2. Listen for the words it gets wrong and note them.
  3. Respell those words phonetically, space out acronyms, and add commas where the pacing is off.
  4. Preview again to confirm.
  5. Download the MP3 once it sounds right.

That order matters. Catching a mispronounced name on the preview costs you ten seconds. Catching it after you've dropped the audio into a video costs you a re-export.

One honest note: there's no magic pronunciation dictionary here, and most free tools don't have one. You won't register a word once and have it remembered forever. But the respelling trick works everywhere, and that's the point. It's the same fix on any tool, including JustListen, where you can paste your corrected text, preview it, and download a clean MP3 for free once it sounds the way you meant it.

Frequently asked questions

Why does text to speech mispronounce words?

A neural voice guesses pronunciation from spelling and context, and English breaks its own rules constantly. Names, brand words, foreign terms, and anything spelled unlike it sounds will trip it up. It is not broken. It just hit a word it had no way to know. The fix is to give it a spelling that matches the sound you want.

How do I make it say a name correctly?

Respell the name the way it sounds and paste that instead. If "Sean" comes out wrong, type "Shawn." If "Siobhan" fails, type "Shiv-awn." You are only changing the text you feed the voice, so the audio says it right even though the spelling looks odd on the page.

Can I fix acronyms and initialisms?

Yes. If you want the letters read out, space or period them so the voice does not try to say them as a word: "N A S A" or "N.A.S.A." If you want it read as a word, leave it joined: "NASA." Test both and keep whichever sounds right.

Does spelling a word phonetically actually work?

It works reliably, because the voice reads what you paste. "Niche" often comes out wrong, so type "neesh." "Gyro" as food reads better as "yee-roh." You are not teaching the tool anything permanent, you are just handing it a cleaner input for that one generation.

Does JustListen have a pronunciation editor or custom dictionary?

No, and most free tools do not. There is no saved lexicon where you register a word once. The respelling trick is the workaround that works everywhere, including JustListen, without any special feature.

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