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.
Language, Speech, Text, & Translation with Google Cloud APIs
Overview
Syllabus
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
