Speech Recognition and Generation

Lesson goals

• Automatic speech recognition
• Text to speech
• Accents, noise, and privacy

Core idea

From audio waves to text and from text to natural speech.

1. Automatic speech recognition: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Text to speech: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Accents, noise, and privacy: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “Speech Recognition and Generation.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “Speech Recognition and Generation” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?