Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Learn OpenAI Whisper
  • Table Of Contents Toc
  • Feedback & Rating feedback
Learn OpenAI Whisper

Learn OpenAI Whisper

By : Josué R. Batista
4.9 (13)
close
close
Learn OpenAI Whisper

Learn OpenAI Whisper

4.9 (13)
By: Josué R. Batista

Overview of this book

As the field of generative AI evolves, so does the demand for intelligent systems that can understand human speech. Navigating the complexities of automatic speech recognition (ASR) technology is a significant challenge for many professionals. This book offers a comprehensive solution that guides you through OpenAI's advanced ASR system. You’ll begin your journey with Whisper's foundational concepts, gradually progressing to its sophisticated functionalities. Next, you’ll explore the transformer model, understand its multilingual capabilities, and grasp training techniques using weak supervision. The book helps you customize Whisper for different contexts and optimize its performance for specific needs. You’ll also focus on the vast potential of Whisper in real-world scenarios, including its transcription services, voice-based search, and the ability to enhance customer engagement. Advanced chapters delve into voice synthesis and diarization while addressing ethical considerations. By the end of this book, you'll have an understanding of ASR technology and have the skills to implement Whisper. Moreover, Python coding examples will equip you to apply ASR technologies in your projects as well as prepare you to tackle challenges and seize opportunities in the rapidly evolving world of voice recognition and processing.
Table of Contents (16 chapters)
close
close
Free Chapter
1
Part 1: Introducing OpenAI’s Whisper
In Progress | 0 / 1 sections completed | 0%
4
Part 2: Underlying Architecture
In Progress | 0 / 1 sections completed | 0%
7
Part 3: Real-world Applications and Use Cases
In Progress | 0 / 1 sections completed | 0%
11
Chapter 8: Diarizing Speech with WhisperX and NVIDIA’s NeMo
In Progress | 0 / 5 sections completed | 0%
14
Index
In Progress | 0 / 2 sections completed | 0%

Exploring the multitasking and multilingual capabilities of Whisper

As we saw in the previous section, the transformer model architecture is central to empowering Whisper’s advanced speech recognition capabilities. However, the story does not end there. Whisper possesses remarkable versatility beyond just transcribing English audio into text. Its flexible design supports seamlessly switching between diverse tasks such as translation, summarization, and keyword identification across 90 languages. This ability to adaptably multitask in linguistically diverse environments significantly expands the practical applicability of Whisper for global business and consumer needs.

In the following sections, we will explore the technical innovations that drive Whisper’s versatility, including its optimized model architecture for multitasking, extensive multilingual training data, and intriguing zero-shot transfer learning abilities. Understanding these capabilities provides valuable...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech

Create a Note

Modal Close icon
You need to login to use this feature.
notes
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Delete Note

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY