Guide-linked quiz · Medium Level
Speaker Verification Quiz
Review one-to-one speaker verification, enrollment references, operating thresholds and spoofing countermeasures. in biometric workflows.
Question 1 of 8
Speaker verification is best described as which type of decision?
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- Speaker verification is best described as which type of decision?
- One-to-one: does this voice match the claimed identity?
- One-to-many: whose voice is this?
- Transcribing speech to text
- Detecting silence in audio
- What is the difference between text-dependent and text-independent verification?
- One uses video, the other audio
- Text-dependent requires a fixed passphrase; text-independent works on any speech
- Text-dependent is for music only
- There is no difference
- What does the Equal Error Rate (EER) represent?
- The total number of users
- The audio sample rate
- The point where false accepts equal false rejects
- The length of the passphrase
- Why is anti-spoofing important in speaker verification?
- To compress audio faster
- To translate languages
- To increase passphrase length
- To defend against recordings and AI-generated deepfake voices
- What is a stored "voiceprint" used for in verification?
- Serving as the enrolled reference the test voice is compared against
- Playing back the user's speech
- Compressing the audio file
- Translating speech to text
- Lowering the acceptance threshold typically does what?
- Rejects more genuine users and blocks more impostors
- Accepts more impostors while accepting more genuine users
- Has no effect on errors
- Only changes the audio length
- What does an ASVspoof evaluation test in addition to ordinary speaker matching?
- Whether the speaker’s words are grammatically correct
- Whether the microphone has a camera
- Whether countermeasures can detect replayed or synthesized spoofed speech
- Whether the voice belongs to a known language
- Why does a speaker match score not prove that a live person spoke the audio?
- Speaker embeddings contain the speaker’s legal name
- A match score measures camera presence
- Verification does not analyze audio
- A recording or synthetic voice may imitate the enrolled speaker
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