Guide-linked quiz · Medium Level

Onset Detection in Audio Quiz

Learn how audio onset detectors find event attacks, use spectral flux and peak picking, and handle gradual or overlapping sounds.

Related guide pathsOnset Detection In Audio
Question 1 of 8

What exactly is an 'onset' in audio?

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Answers and explanations appear as you take the quiz.

  1. What exactly is an 'onset' in audio?
    • The moment an acoustic event begins, like a note's attack
    • The fade-out of a sound
    • The average loudness of a track
    • The end of a song
  2. What does spectral flux measure for onset detection?
    • A rule that marks every beat as a note onset
    • Positive increases in spectral energy between successive frames
    • A decay detector that selects only falling energy
    • A pitch estimator that finds the nearest MIDI note
  3. Why is half-wave rectification applied in spectral flux?
    • To amplify decays
    • To convert audio to text
    • So only rising (positive) energy changes contribute, ignoring decays
    • To slow down the audio
  4. Which type of onset is hardest to detect?
    • A sharp drum hit
    • A loud cymbal crash
    • A snare backbeat
    • A soft, gradual violin swell
  5. What does the peak-picking stage with an adaptive threshold prevent?
    • Double-triggering and false onsets
    • Audio compression
    • Pitch shifting
    • Stereo widening
  6. What can a neural onset detector learn from labeled audio examples?
    • A guarantee that every onset will be detected
    • Patterns in the audio features that signal event beginnings
    • A fixed tempo that applies to every recording
    • The identity of every instrument without evaluation
  7. What does onset backtracking do when detected times are used to create audio slices?
    • Moves each onset to the end of the entire recording
    • Replaces each onset with the nearest musical beat
    • Moves an onset to the nearest preceding local minimum of an energy signal
    • Adds a fixed one-second delay after every peak
  8. What can happen when an onset model is transferred to a different instrument or dataset?
    • Its predictions are guaranteed to remain identical
    • The audio automatically becomes monophonic
    • The model no longer needs a time-frequency input
    • Its performance may change and should be evaluated in the new domain

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