#ssml — Public Fediverse posts

Amazon Q in Connect セルフサービスでは、電話での音声スピードを調整できますか
https://dev.classmethod.jp/articles/amazon-q-in-connect-voice-speed-adjustment/

#dev_classmethod #Amazon_Q_in_Connect #Amazon_Lex #SSML #AWS #Amazon_Connect

Amazon Q in Connect セルフサービスでは、電話での音声スピードを調整できますか
https://dev.classmethod.jp/articles/amazon-q-in-connect-voice-speed-adjustment/

#dev_classmethod #Amazon_Q_in_Connect #Amazon_Lex #SSML #AWS #Amazon_Connect

Amazon LexでSSMLを使用して設定したメッセージを日本語音声でテスト再生する方法
https://dev.classmethod.jp/articles/amazon-lex-ssml-japanese-audio-test/

#dev_classmethod #Amazon_Lex #SSML #Amazon_Polly #AWS

Amazon LexでSSMLを使用して設定したメッセージを日本語音声でテスト再生する方法
https://dev.classmethod.jp/articles/amazon-lex-ssml-japanese-audio-test/

#dev_classmethod #Amazon_Lex #SSML #Amazon_Polly #AWS

Amazon PollyのSSMLを利用し、住所を自然な日本語の発音になるようチューニングしてみた
https://dev.classmethod.jp/articles/amazon-polly-ssml-address/

#dev_classmethod #Amazon_Polly #SSML #Amazon_Connect #AWS

Quick start guide to getting #Amazon #Alexa to say whatever you want.
* Set up an account at developer.amazon.com
* follow instructions here to begin using the "Alexa Skills Kit": https://developer.amazon.com/en-US/docs/alexa/ask-overviews/what-is-the-alexa-skills-kit.html#
* create a new "skill", custom model Amazon-hosted Python, use the "Intro to Alexa Conversations" template (it doesn't matter, we aren't gonna use any of this plumbing anyway)
* now in your new skill, wait for the build thing to finish and all that
* from the Developer Console for your new bogus skill, hit "Test" tab at the top, pick "Development" on the left and then "Voice & Tone" tab
* you can now put #SSML in here to make Alexa speak. There are custom tags to change tone or emphasis.

Also, using Dev Tools, once you've hit Play you can retrieve the UUID-named wave file that was generated - and from there the world is yours

Quick start guide to getting #Amazon #Alexa to say whatever you want.
* Set up an account at developer.amazon.com
* follow instructions here to begin using the "Alexa Skills Kit": https://developer.amazon.com/en-US/docs/alexa/ask-overviews/what-is-the-alexa-skills-kit.html#
* create a new "skill", custom model Amazon-hosted Python, use the "Intro to Alexa Conversations" template (it doesn't matter, we aren't gonna use any of this plumbing anyway)
* now in your new skill, wait for the build thing to finish and all that
* from the Developer Console for your new bogus skill, hit "Test" tab at the top, pick "Development" on the left and then "Voice & Tone" tab
* you can now put #SSML in here to make Alexa speak. There are custom tags to change tone or emphasis.

Also, using Dev Tools, once you've hit Play you can retrieve the UUID-named wave file that was generated - and from there the world is yours

Quick start guide to getting #Amazon #Alexa to say whatever you want.
* Set up an account at developer.amazon.com
* follow instructions here to begin using the "Alexa Skills Kit": https://developer.amazon.com/en-US/docs/alexa/ask-overviews/what-is-the-alexa-skills-kit.html#
* create a new "skill", custom model Amazon-hosted Python, use the "Intro to Alexa Conversations" template (it doesn't matter, we aren't gonna use any of this plumbing anyway)
* now in your new skill, wait for the build thing to finish and all that
* from the Developer Console for your new bogus skill, hit "Test" tab at the top, pick "Development" on the left and then "Voice & Tone" tab
* you can now put #SSML in here to make Alexa speak. There are custom tags to change tone or emphasis.

Also, using Dev Tools, once you've hit Play you can retrieve the UUID-named wave file that was generated - and from there the world is yours

Quick start guide to getting #Amazon #Alexa to say whatever you want.
* Set up an account at developer.amazon.com
* follow instructions here to begin using the "Alexa Skills Kit": https://developer.amazon.com/en-US/docs/alexa/ask-overviews/what-is-the-alexa-skills-kit.html#
* create a new "skill", custom model Amazon-hosted Python, use the "Intro to Alexa Conversations" template (it doesn't matter, we aren't gonna use any of this plumbing anyway)
* now in your new skill, wait for the build thing to finish and all that
* from the Developer Console for your new bogus skill, hit "Test" tab at the top, pick "Development" on the left and then "Voice & Tone" tab
* you can now put #SSML in here to make Alexa speak. There are custom tags to change tone or emphasis.

Also, using Dev Tools, once you've hit Play you can retrieve the UUID-named wave file that was generated - and from there the world is yours

Quick start guide to getting #Amazon #Alexa to say whatever you want.
* Set up an account at developer.amazon.com
* follow instructions here to begin using the "Alexa Skills Kit": https://developer.amazon.com/en-US/docs/alexa/ask-overviews/what-is-the-alexa-skills-kit.html#
* create a new "skill", custom model Amazon-hosted Python, use the "Intro to Alexa Conversations" template (it doesn't matter, we aren't gonna use any of this plumbing anyway)
* now in your new skill, wait for the build thing to finish and all that
* from the Developer Console for your new bogus skill, hit "Test" tab at the top, pick "Development" on the left and then "Voice & Tone" tab
* you can now put #SSML in here to make Alexa speak. There are custom tags to change tone or emphasis.

Also, using Dev Tools, once you've hit Play you can retrieve the UUID-named wave file that was generated - and from there the world is yours

Do you create open educational resources (OER) as presentations with voice-over? Want to avoid audio recording/cutting/editing, in particular when updating resources?
My CI/CD pipeline around emacs-reveal for the creation OER of now includes experimental text-to-speech (TTS) support based on SpeechT5 and SpeechBrain. Please check out the demo presentation [1] and let me know what you think.
Currently [2], neither abbreviations nor numbers are pronounced correctly, breaks and emphasis are missing. Any recommendations? SSML support?

[1] https://oer.gitlab.io/emacs-reveal-howto/tts-howto.html
[2] https://gitlab.com/oer/emacs-reveal/-/issues/20

Hashtags: #Emacs #OrgMode #RevealJS #TTS #TextToSpeech #SSML #FLOSS #FOSS #OER #CICD

Do you create open educational resources (OER) as presentations with voice-over? Want to avoid audio recording/cutting/editing, in particular when updating resources?
My CI/CD pipeline around emacs-reveal for the creation OER of now includes experimental text-to-speech (TTS) support based on SpeechT5 and SpeechBrain. Please check out the demo presentation [1] and let me know what you think.
Currently [2], neither abbreviations nor numbers are pronounced correctly, breaks and emphasis are missing. Any recommendations? SSML support?

[1] https://oer.gitlab.io/emacs-reveal-howto/tts-howto.html
[2] https://gitlab.com/oer/emacs-reveal/-/issues/20

Hashtags: #Emacs #OrgMode #RevealJS #TTS #TextToSpeech #SSML #FLOSS #FOSS #OER #CICD

Do you create open educational resources (OER) as presentations with voice-over? Want to avoid audio recording/cutting/editing, in particular when updating resources?
My CI/CD pipeline around emacs-reveal for the creation OER of now includes experimental text-to-speech (TTS) support based on SpeechT5 and SpeechBrain. Please check out the demo presentation [1] and let me know what you think.
Currently [2], neither abbreviations nor numbers are pronounced correctly, breaks and emphasis are missing. Any recommendations? SSML support?

[1] https://oer.gitlab.io/emacs-reveal-howto/tts-howto.html
[2] https://gitlab.com/oer/emacs-reveal/-/issues/20

Hashtags: #Emacs #OrgMode #RevealJS #TTS #TextToSpeech #SSML #FLOSS #FOSS #OER #CICD

Do you create open educational resources (OER) as presentations with voice-over? Want to avoid audio recording/cutting/editing, in particular when updating resources?
My CI/CD pipeline around emacs-reveal for the creation OER of now includes experimental text-to-speech (TTS) support based on SpeechT5 and SpeechBrain. Please check out the demo presentation [1] and let me know what you think.
Currently [2], neither abbreviations nor numbers are pronounced correctly, breaks and emphasis are missing. Any recommendations? SSML support?

[1] https://oer.gitlab.io/emacs-reveal-howto/tts-howto.html
[2] https://gitlab.com/oer/emacs-reveal/-/issues/20

Hashtags: #Emacs #OrgMode #RevealJS #TTS #TextToSpeech #SSML #FLOSS #FOSS #OER #CICD

Do you create open educational resources (OER) as presentations with voice-over? Want to avoid audio recording/cutting/editing, in particular when updating resources?
My CI/CD pipeline around emacs-reveal for the creation OER of now includes experimental text-to-speech (TTS) support based on SpeechT5 and SpeechBrain. Please check out the demo presentation [1] and let me know what you think.
Currently [2], neither abbreviations nor numbers are pronounced correctly, breaks and emphasis are missing. Any recommendations? SSML support?

[1] https://oer.gitlab.io/emacs-reveal-howto/tts-howto.html
[2] https://gitlab.com/oer/emacs-reveal/-/issues/20

Hashtags: #Emacs #OrgMode #RevealJS #TTS #TextToSpeech #SSML #FLOSS #FOSS #OER #CICD

I never thaught I'd be saying this, but processing #XML from #C to turn #XHTML into #SSML with #libxml2 was an utterly *enjoyable* experience! I know right, in what universe is that possible? But props go to Daniel Veillard, Gnome, and contributors. It's fast, simple, and easy to understand, and everything just worked!

I never thaught I'd be saying this, but processing #XML from #C to turn #XHTML into #SSML with #libxml2 was an utterly *enjoyable* experience! I know right, in what universe is that possible? But props go to Daniel Veillard, Gnome, and contributors. It's fast, simple, and easy to understand, and everything just worked!

I never thaught I'd be saying this, but processing #XML from #C to turn #XHTML into #SSML with #libxml2 was an utterly *enjoyable* experience! I know right, in what universe is that possible? But props go to Daniel Veillard, Gnome, and contributors. It's fast, simple, and easy to understand, and everything just worked!

Can you recommend a free/libre and open source text-to-speech (TTS) solution that generates English audio in “near-human” quality, to be included in open educational resources (OER)? Maybe with support for say-as of #SSML? A model on #HuggingFace? #Coqui TTS? Something else?
I am thinking about an integration of TTS into my OER CI/CD pipeline:
https://gitlab.com/oer/emacs-reveal/-/issues/20
#tts #texttospeech #floss #foss #oer #cicd

Can you recommend a free/libre and open source text-to-speech (TTS) solution that generates English audio in “near-human” quality, to be included in open educational resources (OER)? Maybe with support for say-as of #SSML? A model on #HuggingFace? #Coqui TTS? Something else?
I am thinking about an integration of TTS into my OER CI/CD pipeline:
https://gitlab.com/oer/emacs-reveal/-/issues/20
#tts #texttospeech #floss #foss #oer #cicd

Can you recommend a free/libre and open source text-to-speech (TTS) solution that generates English audio in “near-human” quality, to be included in open educational resources (OER)? Maybe with support for say-as of #SSML? A model on #HuggingFace? #Coqui TTS? Something else?
I am thinking about an integration of TTS into my OER CI/CD pipeline:
https://gitlab.com/oer/emacs-reveal/-/issues/20
#tts #texttospeech #floss #foss #oer #cicd

Can you recommend a free/libre and open source text-to-speech (TTS) solution that generates English audio in “near-human” quality, to be included in open educational resources (OER)? Maybe with support for say-as of #SSML? A model on #HuggingFace? #Coqui TTS? Something else?
I am thinking about an integration of TTS into my OER CI/CD pipeline:
https://gitlab.com/oer/emacs-reveal/-/issues/20
#tts #texttospeech #floss #foss #oer #cicd

Can you recommend a free/libre and open source text-to-speech (TTS) solution that generates English audio in “near-human” quality, to be included in open educational resources (OER)? Maybe with support for say-as of #SSML? A model on #HuggingFace? #Coqui TTS? Something else?
I am thinking about an integration of TTS into my OER CI/CD pipeline:
https://gitlab.com/oer/emacs-reveal/-/issues/20
#tts #texttospeech #floss #foss #oer #cicd