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Language, Speech, Text, & Translation with Google Cloud APIs

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Language, Speech, Text, & Translation with Google Cloud APIs

5 hours Advanced universal_currency_alt 34 Credits
In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.

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  • Lab

    warning Speech to Text Transcription with the Cloud Speech API

    The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.

  • Lab

    Measuring and Improving Speech Accuracy

    With this lab and Google’s tools you can learn how to get the best possible quality from the Speech-to-Text systems on your specific data.

  • Lab

    Translate Text with the Cloud Translation API

    The Cloud Translation allows you to translate an arbitrary string into any supported language. In this hands-on lab you’ll learn how to use the Cloud Translation API to translate text and detect the language of text if the language is unknown.

  • Lab

    Classify Text into Categories with the Natural Language API

    In this lab you’ll learn how to classify text into categories using the Natural Language API

  • Lab

    Entity and Sentiment Analysis with the Natural Language API

    The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

  • Lab

    It Speaks! Create Synthetic Speech Using Text-to-Speech

    In this lab you will create a series of audio files using the Text-to-Speech API, then listen to them to compare the differences.

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