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https://docs.microsoft.com/en-us/cortana/skills/speech-synthesis-markup-language
Speech Synthesis Markup Language (SSML) reference. 07/12/2019; 13 minutes to read +1; In this article. SSML is an XML-based markup language that skill developers use to specify the speech text that Cortana translates to speech. Using SSML improves the quality of synthesized content over sending Cortana plain text.
https://developers.google.com/assistant/actions/reference/ssml
Support for SSML elements. The following sections describe the SSML elements and options that can be used in your Actions. Note that not all of the elements and options described in the W3 SSML specification are currently supported by the Actions on Google platform. This page details which elements and options are available for your application.
https://developer.amazon.com/docs/custom-skills/de-speech-synthesis-markup-language-ssml-reference.html
The Alexa Skills Kit provides this type of control with Speech Synthesis Markup Language (SSML) support. SSML is a markup language that provides a standard way to mark up text for the generation of synthetic speech. The Alexa Skills Kit supports a subset of the tags defined in the SSML specification.
https://www.restcomm.com/docs/1.0/rcml/ssml-reference.html
You can send Speech Synthesis Markup Language (SSML) in your Text-to-Speech request to allow for more customization in your audio response by providing details on pauses, and audio formatting for acronyms, dates, times, abbreviations, or text that should be censored.
https://developer.amazon.com/docs/custom-skills/speech-synthesis-markup-language-ssml-reference.html?source=post_page-----36e5a4232ef7----------------------
The Alexa Skills Kit provides this type of control with Speech Synthesis Markup Language (SSML) support. SSML is a markup language that provides a standard way to mark up text for the generation of synthetic speech. The Alexa Skills Kit supports a subset of the tags defined in the SSML specification.
https://cloud.restcomm.com/docs/rcml/ssml-reference.html
The *<Say>* verb is used to convert text into a human-like speech real-time and playback the audio. When using *<Say>* you have a choice between using male or female Google or Amazon Polly voices.
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-synthesis-markup
Speech Synthesis Markup Language (SSML) is an XML-based markup language that lets developers specify how input text is converted into synthesized speech using the text-to-speech service. Compared to plain text, SSML allows developers to fine-tune the pitch, pronunciation, speaking rate, volume, and more of the text-to-speech output.
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/rest-text-to-speech
The body of each POST request is sent as Speech Synthesis Markup Language (SSML). SSML allows you to choose the voice and language of the synthesized speech returned by the text-to-speech service. For a complete list of supported voices, see language support.
https://cloud.google.com/text-to-speech/docs/ssml
You can send Speech Synthesis Markup Language (SSML) in your Text-to-Speech request to allow for more customization in your audio response by providing details on pauses, and audio formatting for acronyms, dates, times, abbreviations, or text that should be censored.
https://cloud.google.com/text-to-speech/docs/ssml-tutorial
def ssml_to_audio(ssml_text, outfile): # Generates SSML text from plaintext. # # Given a string of SSML text and an output file name, this function # calls the Text-to-Speech API. The API returns a synthetic audio # version of the text, formatted according to the SSML commands.
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