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

# Errors and solutions
## ModuleNotFoundError: No module named 'google'
```bash
Traceback (most recent call last):
  File "speech_quickstart_beta.py", line 28, in <module>
    from google.cloud import speech_v1p1beta1
ModuleNotFoundError: No module named 'google'
```
### Solution 1
The Google Cloud SDK may not be installed correctly.

With the **virtual environment activated** run:

```bash
pip install google-cloud   
```

### Solution 2
The Google Cloud SDK may not be installed 
1.  Download the latest SDK, as [documented](https://cloud.google.com/sdk/docs#install_the_latest_cloud_sdk_version) here
2. Extract the contents of the file to any location on your file system
3. Run gcloud init to initialize the SDK

```bash
./google-cloud-sdk/bin/gcloud init
```
## ImportError: cannot import name 'speech_v1p1beta1'
This means that the Python client libraries are not installed.

```bash
ImportError: cannot import name 'speech_v1p1beta1' from 'google.cloud' (unknown location)
```
### Solution 1
```bash
pip install --upgrade google-cloud-speech
```
You **might** need to use pip3 instead of pip

## Error no such file or directory
```bash'
ERROR: (gcloud.auth.activate-service-account) Unable to read file [apiCredentials.json]: [Errno 2] No such file or directory: 'apiCredentials.json'
```
### Solution 1
1. Ensure apiCredentials.json exists
```bash
ls apiCredentials.json
```
This means it either does not exist or is not in the current path
```bash
ls: cannot access 'apiCredentials.json': No such file or directory
```
Consult the [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) lesson for the creation of **apiCredentials.json** and set up the environment variables as mentioned in [Setting Up the Environment](https://www.educative.io/courses/google-cloud-ai-speech-to-text-python-3/setting-up-the-environment) lesson.

### Solution 2
1. Once you have confirmed the **apiCredentials.json** file exists using solution 1, set the environment variable
```bash
export GOOGLE_APPLICATION_CREDENTIALS="apiCredentials.json"
```

## Other errors
Consult one or more of these resources:
* [Speech-to-Text customer discussion group](https://cloud.google.com/speech-to-text/docs/getting-support#discuss_the_cloud_speech_api_and_get_updates)
* [Public issue tracker](https://cloud.google.com/speech-to-text/docs/getting-support#file_bugs_or_feature_requests)
* [StackOverflow](https://cloud.google.com/speech-to-text/docs/getting-support#ask_a_question_on_stack_overflow)
* [Error messages](https://cloud.google.com/speech-to-text/docs/error-messages)
* [Troubleshooting](https://cloud.google.com/speech-to-text/docs/troubleshooting)
* [Python Anywhere](https://www.pythonanywhere.com/forums/topic/13414/)




If you run into any problems, these suggestions may help.

Troubleshooting

Getting Started

Your First Program

Recognition Configuration

Speech Adaptation

Models

Word Error Rate WER

Final Thoughts

Appendix

Troubleshooting

Errors and solutions

ModuleNotFoundError: No module named ‘google’

Solution 1

Solution 2