Speech Synthesis Markup Language

Speech Synthesis Markup Language (SSML) is an XML-based markup language used to control speech synthesis systems, such as text-to-speech (TTS) engines. It allows developers to specify pronunciation, volume, pitch, rate, and other speech characteristics to produce more natural and expressive synthetic speech. SSML is widely supported by cloud-based TTS services like Amazon Polly, Google Cloud Text-to-Speech, and Microsoft Azure Speech.

Also known as: SSML, Speech Synthesis ML, Speech Markup Language, Text-to-Speech Markup, VoiceXML (related but distinct)

Why learn Speech Synthesis Markup Language?

Developers should learn SSML when building applications that require high-quality, customizable text-to-speech output, such as voice assistants, accessibility tools, audiobooks, or interactive voice response (IVR) systems. It is essential for fine-tuning speech synthesis to match specific use cases, like adjusting prosody for different languages or adding pauses for better comprehension in automated announcements.

Learning Resources

• docs: W3C SSML Specification
• tutorial: Google Cloud Text-to-Speech SSML Guide
• tutorial: Amazon Polly SSML Tutorial
• docs: Microsoft Azure Speech SSML Reference
• docs: SSML Basics on MDN Web Docs