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  2. Azure Cognitive Services learns more languages - AOL

    www.aol.com/news/azure-cognitive-services-learns...

    With this update, the Cognitive Services Speech Service, the unified Azure API for speech-to-text, text-to-speech and translation, is coming to 27 new locales, and the company promises a 20% ...

  3. Microsoft text-to-speech voices - Wikipedia

    en.wikipedia.org/wiki/Microsoft_text-to-speech...

    None of these voices match the Cortana text-to-speech voice which can be found on Windows Phone 8.1, Windows 10, and Windows 10 Mobile. In an attempt to unify its software with Windows 10, all of Microsoft's current platforms use the same text-to-speech voices except for Microsoft David and a few others.

  4. 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.

  5. 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.

  6. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    Deep learning speech synthesis uses deep neural networks (DNN) to produce artificial speech from text (text-to-speech) or spectrum (vocoder). The deep neural networks are trained using a large amount of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

  7. Natural language generation - Wikipedia

    en.wikipedia.org/wiki/Natural_language_generation

    Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...

  8. Speechmatics - Wikipedia

    en.wikipedia.org/wiki/Speechmatics

    Speechmatics was founded in 2006 by Tony Robinson who pioneered in the application of recurrent neural networks to speech recognition. [6] [7] [8] He was one of the early people who has discovered the practical capabilities of deep neural networks and how they can be used to benefit speech recognition.

  9. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]