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  2. Java Speech API - Wikipedia

    en.wikipedia.org/wiki/Java_Speech_API

    Download QR code; Print/export ... move to sidebar hide. The Java Speech API (JSAPI) is an application ... The remaining steps convert the spoken text to speech:

  3. FreeTTS - Wikipedia

    en.wikipedia.org/wiki/FreeTTS

    FreeTTS is an implementation of Sun's Java Speech API. FreeTTS supports end-of-speech markers. Gnopernicus uses these in a number of places: to know when text should and should not be interrupted, to better concatenate speech, and to sequence speech in different voices.

  4. Java Speech Markup Language - Wikipedia

    en.wikipedia.org/wiki/Java_Speech_Markup_Language

    Java Speech API Markup Language (JSML) is an XML-based markup language for annotating text input to speech synthesizers.JSML is used within the Java Speech API.JSML is an XML application and conforms to the requirements of well-formed XML documents.

  5. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    A number of markup languages have been established for the rendition of text as speech in an XML-compliant format. The most recent is Speech Synthesis Markup Language (SSML), which became a W3C recommendation in 2004. Older speech synthesis markup languages include Java Speech Markup Language and SABLE. Although each of these was proposed as a ...

  6. Speech Synthesis Markup Language - Wikipedia

    en.wikipedia.org/wiki/Speech_Synthesis_Markup...

    It is also used to produce sounds via Azure Cognitive Services' Text to Speech API or when writing third-party skills for Google Assistant or Amazon Alexa. SSML is based on the Java Speech Markup Language (JSML) developed by Sun Microsystems , although the current recommendation was developed mostly by speech synthesis vendors.

  7. Comparison of speech synthesizers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_speech...

    Name Online demo Available language(s) Available voices Programming language Operating system(s) 15.ai: Yes English (United States) 50+ Python: Any

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  9. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.