Speech Recognition: Mid Test Preparation

What is the primary goal of speech recognition?

• To analyze the emotional tone of speech

• To convert spoken language into text

• To generate human-like voices

• To translate languages in real time

Which of the following is NOT a challenge for automatic speech recognition?

• Diverse dialects

• Homophones

• Perfect phonetic transcription

• Background noise

What is the role of phonetics in speech recognition?

• To identify the speaker's emotions

• To model the structure of language

• To analyze how speech sounds are produced and perceived

• To improve speech synthesis

What is an acoustic model in speech recognition?

• A model that translates text into speech

• A model that maps audio signals to phonemes

• A model that detects emotional tone in speech

• A model that transcribes handwritten text

What type of speech recognition where the model can recognize speech of an individual even though his/her speech doesn't exist in the training set to build the model?

• Speaker-dependent

• Speaker-independent

• Isolated-word recognition

• Continuous speech recognition

Speaker verification is the same as speaker recognition.

• True

• False

Speaker recognition is a multiclass classification.

• True

• False

What is the purpose of speech synthesis (TTS)?

• To transcribe speech into text

• To generate human-like speech from text

• To classify different speakers

• To remove noise from speech

Why is human-level speech recognition still difficult for machines?

• Computers cannot process large datasets

• Humans do not use grammar in speech

• Machine learning cannot be applied to speech

• Speech varies in accents, intonation, and background noise

What are common errors in automated speech recognition systems?

• Homophone confusion

• Mispronunciation

• Inability to recognize long sentences

• Perfect recognition every time