Start by checking the script for spelling and ambiguity, then confirm the voice and language fit the words you want spoken. If a word is still wrong, use the pronunciation controls supported by that specific service and model. For a robotic-sounding read, adjust delivery—such as pacing, pauses, or pitch—in small steps and listen to a short sample before rendering the full voiceover.
Fix the script before changing voice settings
Check the source text first. ElevenLabs says misspelling is its most common cause of mispronunciation and notes that its AI may speak misspelled text as written. Names, abbreviations, technical terms, and words with several possible pronunciations deserve particular attention.
- Correct typos and confirm that the intended word is actually in the script.
- If a word is spelled correctly but remains ambiguous, try adding context or adjusting punctuation so the sentence makes its meaning clearer.
- Test the word in the sentence where it will appear. A full sentence can provide useful context that a single isolated word lacks.
ElevenLabs also documents alternative phonetic spellings as a workaround. That can help when the platform offers no suitable pronunciation control, but it changes the visible text. Check captions, subtitles, and any on-screen script against the final audio if you use this approach.
Match the voice to the language and accent
Correct spelling does not guarantee the expected pronunciation. ElevenLabs explains that language and voice both matter: language is indicated by the text, while the selected voice determines the accent. A voice that does not fit the language or accent you want may pronounce a correctly spelled word unexpectedly.
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- Select a voice that fits the intended language and accent.
- Render the problem word in its surrounding sentence rather than judging it only as a standalone sample.
- Listen to the result before changing the script to a phonetic spelling or applying markup.
Use pronunciation controls supported by your service
Some text-to-speech services let you specify how a word is pronounced. A phoneme tag can handle an individual word; a pronunciation dictionary or lexicon is more useful when the same name or term appears repeatedly. The syntax and availability vary by provider, language, voice, and model. Do not assume that SSML or a phonetic alphabet accepted by one service will work in another.
ElevenLabs
ElevenLabs documents native IPA support for Eleven v3. Its pronunciation guidance also describes SSML phoneme tags for Flash v2 and Turbo v2, with IPA and CMU support. These controls are model-specific; check the documentation for the model you have selected rather than applying one model’s syntax to another.
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Microsoft Speech
Microsoft Speech supports the SSML phoneme element with a phone string and alphabet, but phoneme support depends on locale. Its custom lexicons can map written forms to aliases or phonemes. Microsoft documents lexicon entries as case-sensitive and recommends validating a custom lexicon before using it in production.
Google Cloud Text-to-Speech
Google Cloud Text-to-Speech documents inline IPA and X-SAMPA phonemes, as well as custom pronunciation dictionaries. Its SSML support is a subset, and some elements are unavailable for some languages, so check the relevant language documentation and validate the markup you use.
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Amazon Polly accepts plain text or SSML, and its documentation describes controls for pronunciation, volume, pitch, and speech rate. A pronunciation lexicon applies only when its language matches the selected voice’s language.
Build a reusable pronunciation list for recurring terms
If a project repeatedly uses a person’s name, product name, place, or technical term, save its pronunciation in the service’s supported dictionary or lexicon when available. This avoids correcting each instance separately and helps keep pronunciation consistent across the script.
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- Confirm that the chosen voice and language match the dictionary or lexicon’s locale requirements.
- Check spelling, capitalization, and the provider’s required format. Microsoft, for example, documents case-sensitive lexicon entries.
- Validate the dictionary or lexicon using the provider’s available validation process, then render a short sample containing the term.
Make a robotic read sound more natural
If the words are correct but the performance feels stiff, focus on delivery rather than phonetic spelling. Pacing and prosody—the rhythm and variation in speech—can affect whether a generated voice sounds natural. AWS identifies unnatural prosody or pacing as possible text-to-speech error types. Google documents speaking-rate, pitch, and volume controls; Amazon Polly documents SSML controls including speech rate, pitch, volume, and prosody.
- Try a voice better suited to the material and intended delivery.
- Make a modest change to speech rate or pauses, then listen to the same short passage.
- If the voice still feels flat, test a small pitch adjustment where the service supports it.
- Change one setting at a time so you can tell what improved or worsened the result.
There is no universal rate or pitch setting established by these provider documents as a fix for robotic speech. The useful setting depends on the voice, language, text, and desired delivery.
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Render a short test before regenerating the full voiceover
After each correction, compare the problem word and the surrounding phrase in a short render. Check that the word sounds right in context and that the change has not made nearby speech less natural. Once the sample is acceptable, apply the correction to the full passage. Keep a project pronunciation list for recurring vocabulary so later edits remain consistent.
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