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  2. Speech Recognition & Synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

    Type. Screen reader. Speech Recognition & Synthesis, formerly known as Speech Services, [2] is a screen reader application developed by Google for its Android operating system. It powers applications to read aloud (speak) the text on the screen, with support for many languages. Text-to-Speech may be used by apps such as Google Play Books for ...

  3. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform is a part of Google Cloud, ... Cloud Speech-to-Text – Speech to text conversion service based on machine learning.

  4. Transcription software - Wikipedia

    en.wikipedia.org/wiki/Transcription_software

    Research at Google released a free android app Google Live Transcribe, it runs on Google Cloud. Google Chrome developed and has an available built in English Live Caption. Google Docs, Google Translate, Google Assistant, GBoard Google Text to Speech engine support transcription tool too. OpenAI launched Whisper, an open-source speech ...

  5. Google Cloud exec: Enterprise AI is game-changing, but ... - AOL

    www.aol.com/finance/google-cloud-exec-enterprise...

    Naturally, Google Cloud, which raked in more than $26 billion in 2022, is front and center in the enterprise AI race with Amazon’s AWS and Microsoft’s Azure. That means that for Brian ...

  6. Google reveals AR glasses that can translate speech in real time

    www.aol.com/finance/google-reveals-ar-glasses...

    The demo showed how Google’s Translate can automatically listen to speech and translate it in real-time, displaying the translated text for the wearer to see and read with ease.

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    e. 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 (vocoder). Deep neural networks (DNN) 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.

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