Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): Speech Recognition

The video tutorial discusses the process of speech recognition, focusing on converting audio signals into text using machine learning models. It explains the role of language models in predicting words based on audio input and previous word sequences. The tutorial also highlights the importance of datasets, such as Ted talks, for training these models. Additionally, it explores various applications of recurrent neural networks, including human activity recognition and image captioning.

What is the primary goal of a speech recognition model?

• To generate audio signals from images

• To convert audio signals into text

• To translate text from one language to another

• To convert text into audio signals

How are words generated in a speech recognition system?

• Independently from each other

• Using a fixed sequence of words

• Based on the previous words and audio signals

• Randomly from a dictionary

What role does a language model play in speech recognition?

• It converts images into text

• It predicts the next word in a sequence

• It generates audio signals from text

• It translates text into different languages

What is a challenge in converting audio signals to text?

• Audio signals and text are always of the same length

• Audio signals are always shorter than text

• Audio signals are of varying lengths

• Text is always longer than audio signals

How is speech recognition similar to image captioning?

• Both involve generating text from a different form of data

• Both translate text into different languages

• Both convert text into audio signals

• Both convert audio signals into images

What type of data is used to train speech recognition models?

• Only text data

• Only audio data

• Audio signals and their corresponding text

• Images and their descriptions

Which of the following is a dataset mentioned for training speech recognition models?

• TED Talks and their transcripts

• Wikipedia articles

• Movie scripts

• Scientific journals