Conventions used

Several text conventions are used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. An example is “Users can even provide audiovisual formats such as .mp4 as inputs, as Whisper will extract just the audio stream to process.”

A block of code is set as follows:

from datasets import load_dataset, DatasetDict
common_voice = DatasetDict()
common_voice["train"] = load_dataset("mozilla-foundation/common_voice_11_0", "hi", split="train+validation", use_auth_token=True)
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "hi", split="test", use_auth_token=True)
print(common_voice)

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

[default]
exten => s,1,Dial(Zap/1|30)
exten => s,2,Voicemail(u100)
exten => s,102,Voicemail(b100)
exten => i,1,Voicemail(s0)

Any command-line input or output is written as follows:

!pip install --upgrade pip
!pip install --upgrade datasets transformers accelerate soundfile librosa evaluate jiwer tensorboard gradio

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “To get a GPU, within Google Colab’s main menu, click Runtime | Change runtime type, then change the Hardware accelerator from None to GPU.”

Tips or important notes

Appear like this.