JOURNAL ARTICLE

Tools for expressive text-to-speech markup

Abstract

This paper describes handicapped accessible text-to-speech markup software developed for poetry and performance. Most text-to-speech software allows the user to select a voice, but provides no control over performance parameters such as rate, volume, and pitch. For users with vocal disabilities, the default computer is often dreaded since it provides no personalization. Evolving standards exist for text-to-speech markup (Sable, Java Speech Markup Language, Spoken Text Markup Language), but few tools exist for non-experts to modify documents using these prosody options [1, 5]. Furthermore, we could find fewer tools allowing for straightforward live performance using a synthesized voice [3]. Thus we created an easy to learn text-to-speech markup tool that requires little training to use.

Keywords:
Markup language Computer science Personalization Prosody Speech synthesis XHTML Software Java Speech recognition Natural language processing Artificial intelligence World Wide Web XML Programming language

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
4
Refs
0.10
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence

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