Text-to-Speech
Name Pronunciation
Text Preprocessing
Learn to Read English
Text Preprocessing > Overview
| Text Says | You Should Say | Listen |
| Sell 125 shares | Sell a hundred and twenty five shares | |
| Go to 125 E. Main St. | Go to one twenty five East Main Street | |
| Your balance is $125.00 | Your balance is one hundred twenty five dollars | |
| Dr. Martin Luther King Dr. | Doctor Martin Luther King Drive | |
| From: ksmith@xyz.org (Karen Smith) | From: K. Smith at X Y Z dot org, Karen Smith | |
Normalization of General Text
General text contains many abbreviations, acronyms, formatting that needs to be normalized for any speech synthesizer.
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Specialized Format Preprocessing
Most applications for
text-to-speech rely on databases or other text
formats which do not correspond directly to the
way in which humans speak the information.
For example, databases and other applications
often contain text like this:
Des Moines City of Health Dept of
Such
raw text cannot be fed directly into a speech
synthesizer. E-Speech
text preprocessors translate such text into:
City of Des Moines, Department of Health
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