Is custom pronunciation support necessary for TTS?

Custom pronunciation support is not strictly necessary for TTS, but it is very useful in many real-world cases.

When it’s not necessary

A TTS system can work well without it if:

• the text is mostly standard language,
• names and technical terms are rare,
• pronunciation errors are acceptable or minor.

Modern TTS models often handle a lot on their own using:

• grapheme-to-phoneme rules,
• learned pronunciation from data,
• context-aware prediction.

When it becomes important

Custom pronunciation support helps a lot when you need:

• names of people, places, or brands pronounced correctly,
• domain-specific terms like medical, legal, or technical vocabulary,
• acronyms and abbreviations,
• multiple pronunciations depending on context,
• consistent branding across many recordings.

Why people add it

It improves:

• naturalness,
• user trust,
• accessibility,
• consistency,
• reduction of embarrassing errors.

Common ways to support it

• pronunciation dictionaries,
• SSML phoneme tags,
• custom lexicons,
• user-defined rules.

Bottom line

If your use case is general text with forgiving quality requirements, you can skip it.
If you need high accuracy, consistency, or support for specialized vocabulary, custom pronunciation is strongly recommended.

If you want, I can also tell you how custom pronunciation is usually implemented in TTS systems.