tomaarsen/TTSTextNormalization

Convert English text from written expressions into spoken forms

32
/ 100
Emerging

This helps convert written English text into its spoken form, which is crucial for text-to-speech systems. It takes raw text that might contain numbers, abbreviations, or symbols, and outputs the fully spelled-out words as they would be pronounced. Anyone building or fine-tuning text-to-speech applications, such as voice assistants or audiobook narrators, would use this to ensure natural-sounding speech.

No commits in the last 6 months.

Use this if you need to transform diverse written English text into accurate, pronounceable spoken forms for a text-to-speech system.

Not ideal if you need a system that is actively maintained or supports languages other than English.

text-to-speech speech-synthesis voice-assistants audiobook-production natural-language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

28

Forks

3

Language

Python

License

MIT

Last pushed

Jun 22, 2022

Commits (30d)

0

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