Speech Recognition

This video tutorial covers advanced concepts in Python and AI, focusing on speech recognition. It explains how speech recognition works, its reliance on linguistic and computer science, and factors affecting its performance. The tutorial includes a practical activity using Google's Teachable Machine to train a model to recognize words amidst background noise. The step-by-step guide helps learners record sounds, train the model, and test its accuracy.

What is the primary function of speech recognition technology?

• To convert text into speech

• To enhance audio quality

• To identify and convert spoken words into machine language

• To translate languages in real-time

Which two fields are primarily involved in the development of speech recognition?

• Linguistic science and computer science

• Physics and chemistry

• Biology and mathematics

• Economics and statistics

What is a common metric used to measure the accuracy of speech recognition systems?

• Word error rate

• Frequency response

• Decibel level

• Signal-to-noise ratio

What is the first step in the practical activity using Google's Teachable Machine?

• Record the word 'cat'

• Train the model

• Record background noise

• Test the model

How many different words are recorded for training in the practical activity?

• Five

• Four

• Three

• Two