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

In this lesson, we will see a demo example of the speech-to-text API so you can witness the AI in action! Let's get started. 

# Online demo
1. Download the attached audio file **call1_short.mp3**


2. Go to [Google Cloud Speech-to-Text](https://cloud.google.com/speech-to-text).
3. Look for **Put speech-to-text in action**.
4. Click **CHOOSE FILE**.
5. Select the **call1_short.mp3** file you just downloaded.
6. Prove you are not a robot.

# Results
Artificial intelligence is not perfect! Also, it does not say so on the page, but STT support for MP3 files is currently a beta feature.


> Warren Avenue number to Gillette Wyoming 82716 
 76802 / 60 

The next lesson will cover an overview of all of the API features

This lesson gives you a quick demonstration of Speech-to-Text in action.

Try STT Now!

Getting Started

Your First Program

Recognition Configuration

Speech Adaptation

Models

Word Error Rate WER

Final Thoughts

Appendix

Try STT Now!

Online demo

Results