Audio Fingerprinting Quiz

Answers and explanations appear as you take the quiz.

1. What is an audio fingerprint?
   • A compact, noise-resistant signature of a recording's distinctive features
   • A full lossless copy of the song
   • A list of the song's lyrics
   • The artist's contact information
2. What features does Shazam's classic algorithm extract from the spectrogram?
   • The average loudness only
   • Local peak frequencies used as robust anchor points
   • The color of the album cover
   • The song's release date
3. In Shazam’s landmark method, what does the target zone around a peak determine?
   • Which singer is on the recording
   • The song’s release date
   • Which nearby peaks are paired with an anchor to form fingerprints
   • The file’s audio codec
4. How does the matching step confirm a song identity?
   • By measuring the file size
   • By checking the song's genre tag
   • By comparing artist names
   • By counting hashes that share a consistent time offset
5. What information does a Shazam-style hash typically encode?
   • Two peak frequencies and the time gap between them
   • The singer's age
   • The number of streams
   • The recording studio name
6. Which cover-song identification benchmarks did the CoverHunter paper report?
   • LibriSpeech and Libri-light
   • SHS100K-Test and DaTacos
   • ImageNet and COCO
   • HotpotQA and FEVER
7. Which method components does the CoverHunter paper use for cover-song identification?
   • Spectral-peak pairs matched only at identical absolute times
   • A text-only language model over song titles
   • Refined attention and alignment of learned audio features
   • A classifier trained on album artwork
8. What is the goal of cover-song identification?
   • Identify only an identical copy of a recording
   • Estimate the release year from a waveform
   • Detect the audio file format
   • Match different versions of the same composition