Home>Courses>Google Cloud: AI Speech-to-Text with Python 3

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

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.

Intermediate

35 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

18 Playgrounds

Course Overview

Course Content

Apply Your Skills

Recommendations

Course Overview

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...Show More

Welcome! My name is Bruce Bookman and I’m a subject matter expert in Conversational AI at Google. In this course, I will show yo...Show More

Course Content

Getting Started

5 Lessons

Get familiar with Google Cloud's AI Speech-to-Text, applications, prerequisites, and setup process.

Why Speech-to-Text? What Is It Good For?

Prerequisites

Try STT Now!

API General Overview

Setting Up the Environment

Your First Program

3 Lessons

Get started with a demo of Google Cloud's Speech-to-Text API using Python.

Simple Transcription Demo Code

Demo Code Deep Dive

Quiz

Recognition Configuration

5 Lessons

Work your way through creating storage buckets, transcribing audio, and enhancing transcripts.

Create a Storage Bucket and Transcribe an Audio File

Punctuation

Multichannel Audio (Stereo)

Enhancing a Multi-channel Transcript

Speaker Diarization

Speech Adaptation

5 Lessons

Break down the steps to enhance speech recognition using adaptation, phrases, class tokens, and boost tuning.

Overview of Speech Adaptation

Models

3 Lessons

Deepen your knowledge of AI recognition models and enhanced phone call transcription.

Choosing the Recognition Model

Enhanced Phone Call Model

Summary Quiz

Word Error Rate WER

3 Lessons

Tackle evaluating and optimizing transcription accuracy, focusing on Word Error Rate (WER).

How to Measure Transcription Accuracy

Identifying the Right Boost Value

WER Demo

Final Thoughts

2 Lessons

Build on optimizing speech-to-text technology by understanding use cases and fine-tuning details.

Use Case Matters

Success Is in Fine Details

Appendix

9 Lessons

Learn how to use GCP accounts, setup Speech-to-Text API, and troubleshoot errors.

Helpful Links and Information

Get a GCP Account

Create a Service Account and API Keys

Enable the Speech-to-Text API

Understanding the API Request

Understanding the API Response

Troubleshooting

Audio Greater than One Minute

Google Cloud SDK install

Course Author

Bruce Bookman

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