type

project_id

private_key_id

private_key

client_email

client_id

auth_uri

token_uri

auth_provider_x509_cert_url

client_x509_cert_url

unique_bucket_name

mysdk.tar.gz

transcription demo code

key storing

lady susan - copy audio

Punctuation 

Multi language

Multi audio

Diarization

Diarization-copy

Speech adaptation phrases

Speech adaptation classes

Speech adaptation boost

Speech adaptation boost-tuning

Recognition model

Enhanced model

More than one minute

Welcome! My name is Bruce Bookman and I’m a subject matter expert in Conversational AI at Google. In this course, I will show you how to incorporate Google’s powerful Speech-to-Text Artificial Intelligence models into a Python program.
Google Speech-to-Text enables you to convert audio to text by applying neural network models in an easy-to-use API. So, in this course, you will start by understanding the main use cases for Speech-to-Text (STT) and an overview of the API.
You will then execute some demo code for the API to create a transcription for an audio file. Don’t worry, you’ll run through each line of code to make sure you’ve got it down.
In the following chapters, you will focus on recognition configuration, speech adaptation, and the different models used for speech recognition. Lastly, you will learn about word error rate and how to measure transcription accuracy.
By the end of this course, you will be able to inject STT in your own Python projects and you will have a great new skill for your resume.

Google Cloud: AI Speech-to-Text with Python 3

# Account setup
For additional assistance with any of these steps, see the Appendix.

1. If you do not have one, create a [Google account](https://support.google.com/accounts/answer/27441?hl=en)
2. Register for the [Google Cloud Platform](https://console.cloud.google.com/getting-started)
3. Create an [IAM user](https://cloud.google.com/iam/docs/quickstart) and [download the API keys](https://cloud.google.com/docs/authentication/getting-started#creating_a_service_account)

If you have any issues setting up the account, please check out the [Get a GCP Account](https://www.educative.io/courses/google-cloud-ai-speech-to-text-python-3/get-a-gcp-account) and [Create a Service Account and API Keys](https://www.educative.io/courses/google-cloud-ai-speech-to-text-python-3/create-a-service-account-and-api-keys) lessons from the Appendix chapter. 

This lesson takes you through the steps required to set up your environment.

Setting Up the Environment

Getting Started

Your First Program

Recognition Configuration

Speech Adaptation

Models

Word Error Rate WER

Final Thoughts

Appendix

Setting Up the Environment

Account setup