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

Lead the GenAI revolution by incorporating Google’s Speech-to-Text AI in Python. Learn use cases, execute demos, master recognition configuration, and improve transcription accuracy. Future-proof your skills.

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


# Download and listen
It is recommended that you download the file and listen to it so you can verify the API results.  The file is attached below:

# Creating a storage bucket
Earlier we mentioned that there are two ways to store audio files for processing. The files can either be stored locally in base64 byte format, or they can be hosted on a Google Cloud storage bucket. For the rest of the course, we will be using a storage bucket that you create.

## Unique bucket name
> **NOTE:** You must name the storage bucket with a globally unique name or a name that has not already been used for any Google storage bucket.  See the [naming requirements](https://cloud.google.com/storage/docs/naming-buckets) documentation for complete details.

One method of ensuring a unique name is to use your name plus your birth date such as ```fredflintstone_bucket_2008```.

## Creating a storage bucket using the command line
You can supply a unique storage bucket name and the following command will create the bucket:

```bash
gsutil mb gs://unique_bucket_name
```

Learn about storage buckets and uploading files.

Create a Storage Bucket and Transcribe an Audio File

Getting Started

Your First Program

Recognition Configuration

Speech Adaptation

Models

Word Error Rate WER

Final Thoughts

Appendix

Create a Storage Bucket and Transcribe an Audio File

Download and listen

Creating a storage bucket

Unique bucket name