Notes:
Speech Synthesis Markup Language (SSML) is a standardized markup language for specifying the pronunciation, phonetics, and other aspects of synthesized speech. It allows developers to control the way that text is spoken by a synthesized voice, such as by specifying the pronunciation of words, the emphasis or stress on certain words or syllables, or the use of pauses or other prosodic elements. SSML can be used with text-to-speech (TTS) systems to generate more natural-sounding and expressive speech. In the context of virtual humans, SSML can be used to control the way that the virtual human speaks, in order to make their speech more natural and realistic. For example, a virtual human might use SSML to specify the emphasis or intonation of their speech, or to control the pacing and rhythm of their words. Overall, SSML can be a useful tool for improving the quality and realism of the speech generated by virtual humans.
- Behavior Markup Language (BML) is a markup language used to specify and control non-verbal behaviors of virtual agents and characters in computer games, animations, and simulations. BML is based on the Extensible Markup Language (XML) and defines a set of tags and attributes that can be used to describe various types of non-verbal behaviors such as facial expressions, body movements, and gestures.
- Lecture Synthesis Markup Language (LSML) is a markup language used to represent the structure and content of educational lectures. LSML is based on the Extensible Markup Language (XML) and defines a set of tags and attributes that can be used to describe various components of a lecture, such as slides, images, audio, and video. LSML can be used to create, edit and publish digital lectures, and also to facilitate the automatic generation of captions, summaries, and translations of the lecture content.
Resources:
Wikipedia:
See also:
SSML (Speech Synthesis Markup Language) 2020
- «Movotvir»: Testing of the Speech Synthesis Markup Language (SSML)
- #VUIChallenge #010 – Info details and SSML demo01
- 84th #VoiceLunch with Falene McKenna – Let’s talk SSML
- Qwiklabs – It Speaks! Create Synthetic Speech Using Cloud Text-to-Speech [GSP222]
- Qwiklabs – Using the Text to Speech API with C# [GSP254]
- You talkin’ to me? – Leonie Watson
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- SSML Text to Speech Editor | How-to | VoiceOverMaker.io
- Nuance speech to text engine nuance vocalizer natural language processing soft.ware is a te
- Co.nvert text to speech objective c looking for c program to co.nvert text to speech… we onl
- Google text to speech engine voice simply go to settings language input texttospeech ou
- Text to speech fpt overview of fpt speech synthesis – texttospeech product using deep lea.
- How to have Alexa pause while reading facts HD 1080p
- Amazon Polly Detailed DEMO with SSML, Lexicons, Speech Marks, Commands & Pricing
- Voxabot Intro
- What is SSML? | Build Realistic Google Actions & Amazon Alexa Skills using SSML | Voiceflow
- Use Bixby Dialog Macros to Simplify SSML
- SSML text to sing
- How to make Windows Blackcomb punches Windows 1.0 in your eye & gets grounded
- Testing SSML in the simulator AoG Pro Tips
- Convert Text to Speech | Amazon Polly Tutorial | Free Tier Usage
- Speech Synthesis Markup Language (SSML)
- Add Emotions and Change Alexa’s Voice using Speech Synthesis Markup Language | Home Assistant
- How to use SSML With VoicePAL
- Amazon Connect Tutorials | Part 15 | Amazon Polly and SSML
- Trulience | Using SSML
- Impara da Zero, Parte 5: Come utilizzare le API dell’Alexa Skills Kit
- AWS Community Day Nordics 2020 – Alexa Skill Development – Goran Vuksic
- Alexa Skill With and Without SSML Comparison
- Skill Development for Amazon Alexa Dot 3: Ordinal Say-as (SSML)
- Skill Development for Amazon Alexa Dot 3: Digits Say-as (SSML)
- Skill Development for Amazon Alexa Dot 3: Cardinal Say-as (SSML)
- Demo of the SSML-editor for Sanity Studio
- BCDD S01-EP07 : SSML & Interjections
- How To Make PNG Images With Paint.net
- Demo – Using Azure Speech Service – Import SSML
- AWS Comprehend Polly Lex and Rekognition
- Amazon Echo Alexa SSML – Different Languages
- Amazon Echo Alexa SSML – Different Languages
- Amazon Alexa Voices Examples
- Proof of Concept Speech Synthesis Editor
- Add Unique Voices to Your Alexa Skill with Amazon Polly
- Add Unique Voices to Your Alexa Skill with Amazon Polly
- Extending Amazon Echo Voice Capabilities using SSML [Additional Voices and Languages]
- How to make an interactive Alexa Skill in under 10 minutes- Just the basics
- Amazon Echo Alexa SSML Demo
- Using SSML in custom Alexa skills – Dabble Lab #14
- Alexa SSML Example
- Java Speech Markup Language
- Using Speech Synthesis Markup Language (SSML) in Alexa Skills
- Speech Synthesis Markup Language SSML – Parte 2
- Speech Synthesis Markup Language SSML – Parte 1
- C# Development Tutorial | Speech Synthesis
- AT&T Alpha Program Narration API – VoiceXML Sample