Automatic Speech Recognition

What is a speech recognition?

• A speech recognition is the ability of a machine to identify images

• A speech recognition is the process of converting text into spoken language

• A speech recognition is the ability of a machine to identify written language

• A speech recognition is the ability of a machine or program to identify words or phrases in spoken language and convert them into a machine-readable format.

How does an automatic speech recognition work?

• Automatic speech recognition uses images to transcribe speech

• Automatic speech recognition converts spoken language into text by processing audio input, breaking it down into phonemes, and matching those phonemes to words in a language model.

• Automatic speech recognition converts text into spoken language

• Automatic speech recognition relies on physical gestures to interpret speech

What is the difference between text-to-speech and speech-to-text?

• Text-to-speech converts text into speech, and speech-to-text converts speech into text.

• Text-to-speech converts images into speech, and speech-to-text converts speech into text.

• Text-to-speech converts text into speech, and speech-to-text converts speech into images.

• Text-to-speech converts audio into speech, and speech-to-text converts speech into text.

What are the challenges faced in speech recognition?

• Speaker volume, microphone quality, speech speed

• Grammar errors, vocabulary limitations, pronunciation difficulties

• Visual distractions, hand gestures, facial expressions

• Background noise, accents, variations in speech patterns, speaker identification, different languages

How does automatic speech recognition technology impact accessibility for individuals with disabilities?

• Speech recognition technology has no impact on accessibility for individuals with disabilities.

• Speech recognition technology is only used for entertainment purposes.

• Speech recognition technology enables individuals with disabilities to interact with devices using their voice.

• Speech recognition technology is limited to text-to-speech applications.

Which evaluation metric is commonly used to assess the performance of automatic speech recognition systems?

• BLEU score

• Precision-Recall

• Word Error Rate (WER)

• F-measure

The sequence processes for developing speech recognition applications is

• Acoustic Analysis -> Acoustic Modelling -> Pronunciation Modelling -> Language Modelling

• Acoustic Modelling -> Acoustic Analysis -> Pronunciation Modelling -> Language Modelling

• Pronunciation Modelling -> Acoustic Modelling -> Acoustic Analysis -> Language Modelling

• Acoustic Analysis -> Pronunciation Modelling -> Acoustic Modelling -> Language Modelling

International Phonetic Alphabet (IPA) and Advanced Research Project Agency (ARPAbet) are ___________ to represent the sounds of human speech.

• two phonetic alphabet standards used

• two alphabet data standards used

• two analog speech data standards used

• two digital speech data standards used

Which component of automatic speech recognition systems is primarily responsible for converting speech signals into textual representations?

• Acoustic Model

• Language Model

• Lexicon

• Decoding Algorithm

What role does the language model play in the process of automatic speech recognition?

• Identifying phonetic units

• Analyzing speech waveforms

• Converting phonemes into words

• Estimating the likelihood of word sequences