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Lesson 4 of 9 · about 17 minutes

How Synthetic Voices Read a Script

You'll be able to

  • Recognize the numbers, dates, money, abbreviations and heteronyms a voice is likely to misread, and the forms it reads reliably
  • Explain how respelling fixes a mispronounced name, and when IPA, alias or phoneme tags apply
  • Describe how punctuation, capitals and audio tags change pauses and emphasis
  • Estimate how long a script runs using words per minute

A human narrator who sees "St. Mary's St." on the page pauses, frowns and says it right. A synthetic voice says something, instantly and with total confidence. The script is the only control panel. It has to work for the ear, and for a reader that has never been to your town and cannot ask.

Spell out what normalization gets wrong

Lesson 1 showed that normalization, the step that turns symbols into words, happens before the voice is involved. ElevenLabs' documentation says normalization is on by default and that larger models handle numbers better; its example has Flash v2.5 saying "one thousand thousand dollars" for $1,000,000. You can pick the bigger model, or you can take the guess away.

You might typeRiskReads reliably as
$4.2M"Four point two M," "four dollars two M"four point two million dollars
38%Usually fine; occasionally "thirty-eight percent sign"thirty-eight percent
2026"Two thousand twenty-six" when you wanted "twenty twenty-six"twenty twenty-six
3/4March fourth, April third or three quartersMarch fourth (or three quarters)
7:30"Seven thirty" with no hint of morning or nightseven thirty in the evening
St. Mary's St."Street Mary's Saint"Saint Mary's Street
Dr. Lopez Dr.Same problem, doctor and driveDoctor Lopez, on Lopez Drive
HB 412"Hub four twelve," "H B four hundred twelve"House Bill four twelve
CPI, URARead as words or as letters, unpredictablyC-P-I, or say the full name first
No. 9"No nine"number nine

Acronyms deserve a rule of their own. If listeners say it as a word (NASA, FEMA), the voice does best when it is spelled as a word. If they say the letters (FBI, EPA), hyphens between the letters get them read as letters. If listeners do not know it at all, narration that skips the full name loses them.

Heteronyms

Some words have two pronunciations and the model has to guess from context: read, lead, live, wind, close, tear, wound, minute, record, present, object, desert. "The record shows" and "they will record the meeting" are different words to the ear. Models usually get these right in ordinary sentences and wrong in titles and fragments, where there is less context. On a short or odd line, a different word avoids the guess: "the vote count" instead of "the record," "will announce" instead of "will read."

Names: respell first

Place names and surnames are where synthetic voices embarrass you locally. Everyone in the valley knows how the creek is said, and the voice does not. The fix that works on every model and every tool is respelling: the word spelled as it sounds, with syllables hyphenated and the stressed one in capitals.

  • Bois d'Arc Road becomes "BO-dark Road."
  • Commissioner Nguyen becomes "Commissioner Win" if that is how she says it. Ask her. Do not guess for her.
  • The invented town of Ruidoso Flats becomes "Rih-DOH-so Flats" in the script, and stays spelled correctly everywhere a reader sees it.

ElevenLabs documents other methods, each tied to particular models as of October 2026. Its newer Eleven v4 accepts IPA written between forward slashes. The older phoneme tags work only with the eleven_flash_v2 model and only on single words. Alias tags and pronunciation dictionaries cover other models and some studio products. Which of these reach you depends on the model a tool calls, and Voice Studio's pages do not list support for them, so treat respelling as the default and test anything fancier on one line before you rely on it.

A pronunciation sheet for a project lists the word, the respelling, who confirmed it and when. Five minutes of that saves a correction.

Punctuation is direction

Voice Studio's help page says the model respects punctuation: periods, commas and line breaks control pacing, ellipses make longer pauses, question marks rise and exclamation marks add emphasis. ElevenLabs' prompting guide for its v3 and v4 models adds that capitals increase emphasis on a word. These are blunt instruments, and they work best used sparingly.

  • Periods are the most reliable tool you have. Short sentences give the voice places to land.
  • Commas create small breaths. A comma before the key fact gives it a beat of weight.
  • Ellipses give a longer, hesitant pause. Good once in a script. Tiresome four times.
  • Capitals on one word push emphasis on expressive models. On every third word they make the narrator sound furious.
  • Exclamation marks almost never belong in factual narration.

What about explicit pause tags? ElevenLabs' controls page says SSML break tags allow pauses up to 3 seconds on some models, warns that too many cause instability, and says Eleven v3 and v4 do not support them. For v3, which Dialogue Editor uses, the page points to audio tags, punctuation and structure. In practice, a [pause] tag or a new sentence does the job.

Audio tags in narration

Tags like [sighs] or [whispers] belong in drama far more than in factual narration. A narrator who sighs before a budget figure is editorializing. Tags suit characters in clearly dramatized scenes; factual narration stays plain and lets the facts carry the weight.

Sentences built for breath

Synthetic voices do not run out of air, which is exactly why long sentences sound wrong from them. A human would have broken that 40-word sentence in two out of necessity, and listeners expect it. Sentences of 8 to 20 words, one idea each, with the subject and verb close together, sound most natural.

Example: the same facts, two ways

Before (45 words, one sentence):

The Harlan Valley Water District board, which met on 3/4 at 7:30, voted 4-1 to approve a 38% rate increase phased in over three years beginning in FY27, citing the need to replace the 1962 pipe on Bois d'Arc Rd., according to GM Dana Kessler.

After (52 words, in five sentences):

The Harlan Valley Water District board voted four to one on March fourth. It approved a rate increase of thirty-eight percent. The increase phases in over three years, starting in twenty twenty-seven. General manager Dana Kessler says the money will replace pipe laid in nineteen sixty-two. That pipe runs under BO-dark Road.

Slightly longer on paper. Shorter in the ear, because every sentence lands. The "before" version also left the model to decode "4-1," "FY27" and "GM" by itself, mid-breath.

Timing a script

The Text2Speech counter estimates duration at 150 words per minute. That is a calm narration pace. Ads run faster; somber pieces slower.

Worked example: fitting a slot

150 words per minute / 60 seconds = 2.5 words per second.

SlotAt 150 WPMAt 165 WPM (speed about 1.1x)
15 seconds2.5 x 15 = 37 words2.75 x 15 = 41 words
30 seconds75 words82 words
40 seconds100 words110 words
60 seconds150 words165 words

Room matters. A 30-second ad with a 3-second music open and a 2-second tail has 25 seconds for voice: 2.5 x 25 = 62 words, not 75. Every written pause also eats time; an ellipsis or a [pause] can cost half a second to a second.

The proof loop

Careful producers check a script in a loop before spending real credits:

  1. A read-aloud at speaking pace, with a stopwatch. Anything a human trips over, the voice will too.
  2. One draft on a cheap model.
  3. One listen for meaning and one for names and numbers.
  4. A transcript of the draft from Speech2Text, compared with the script. Mismatches mark the problem lines.
  5. Fixes in the script, not the audio, with only the changed lines regenerated.

Reporting angle

A synthetic voice reads exactly what it is given, and that makes scripts a record worth requesting. When a public body, campaign or business uses a synthetic narrator, ask for the voice script, not the print version, because the two can differ. Compare what was said aloud with what was published in writing, including numbers, names and dates the voice had to respell to pronounce. Ask which tool and model produced the audio, since pause and pronunciation controls differ by model. If a quote is attributed to a voice recording, run it through a transcript and check it word for word before you print it.

Common mix-ups

  • Claim: SSML tags work in every TTS tool. What the evidence shows: Support varies by model. ElevenLabs says Eleven v3 ignores break tags and phoneme tags work only on one older model. Respelling and punctuation work everywhere.
  • Claim: Good narration copy reads well on the page. What the evidence shows: Page copy uses symbols, abbreviations and long sentences that the ear cannot parse. That is why many producers keep a print version and a voice version.
  • Claim: Speeding the voice up fixes a long script. What the evidence shows: ElevenLabs warns extreme speeds hurt quality, and fast reads tire listeners. Cut words.

Check yourself

1. Which version of a money figure is safest to put in a TTS script?

2. Your script says 'Officials will read the results tonight.' What could go wrong?

3. According to ElevenLabs' documentation as of October 2026, do Eleven v3 voices honor SSML break tags?

4. At 150 words per minute, about how many words fit in a 40-second narration slot?

5. The town of Ruidoso Flats keeps coming out wrong. What is the most portable fix, one that works on any model?

6. Which punctuation does Voice Studio's help page say creates longer natural pauses?

Terms in this lesson

Text normalization
Converting symbols, numbers and abbreviations into the words a voice should say.
Heteronym
A word spelled one way but pronounced two ways with different meanings, like lead, live, read or wind.
Respelling
Writing a word the way it sounds, with the stressed syllable in capitals, so any voice says it correctly.
IPA
The International Phonetic Alphabet, a set of symbols for exact pronunciation. Some newer models accept it inline.
Words per minute (WPM)
Reading speed. Calm narration sits around 150; brisk ad reads run faster.

Full glossary

Sources