Topic
Java Speech Markup Language
About: Java Speech Markup Language is a research topic. Over the lifetime, 2 publications have been published within this topic receiving 8 citations. The topic is also known as: JSML & Java Speech API Markup Language.
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07 May 2001
TL;DR: This paper summarizes the markup element design philosophy and includes descriptions of each of the speech synthesis markup elements.
Abstract: A new set of XML-based markup standards developed for the purpose of enabling voice browsing of the Internet are emerging from the Voice Browser working group, organized under the auspices of the W3C. Among the first in this series of specifications is the speech synthesis text markup standard. The Speech Synthesis Markup Language (SSML) specification is largely based on Java Speech Markup Language (JSML), but also incorporates elements and concepts from SABLE, previously published text markup standards, and from Voice eXtensible Markup Language (VoiceXML), which is itself based on JSML and SABLE. SSML also includes new elements designed to optimize the capabilities of contemporary speech synthesis engines in the task of converting text into speech. This paper summarizes the markup element design philosophy and includes descriptions of each of the speech synthesis markup elements.
5 citations
11 Nov 2001
TL;DR: This paper created an easy to learn text-to-speech markup tool that requires little training to use for users with vocal disabilities and for straightforward live performance using a synthesized voice.
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 voice" 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
3 citations