Digital Audio Editing Flashcards
7 cards from real Audio Editing practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Digital Audio Editing flashcards as text
What is 'bit depth' in digital audio and how does it affect recordings?
Answer: The number of bits per sample, which determines dynamic range and noise floor
Higher bit depth provides more amplitude resolution, resulting in lower noise floor and greater dynamic range; 24-bit (144 dB theoretical range) is standard in professional recording.
What does 'gain staging' mean in audio production?
Answer: Optimizing signal levels at each stage of the signal chain to avoid distortion and maximize signal quality
Proper gain staging ensures that signal levels stay in an optimal range—loud enough to avoid noise but not so loud as to clip—at every point from mic preamp through mixing and mastering.
Which editing technique involves placing audio clips precisely on the grid to correct timing?
Answer: Quantization or grid-snap editing
Quantization snaps audio clips or MIDI notes to the nearest grid division, correcting timing inconsistencies relative to the tempo.
What is a 'crossfade' used for when editing audio clips?
Answer: To create a smooth transition between two adjacent audio clips by overlapping and blending their edges
A crossfade overlaps the end of one clip with the start of the next, fading one down while the other fades up to eliminate clicks and create seamless edits.
In spectral editing, what can an editor do that standard waveform editing cannot?
Answer: Remove or repair sounds at specific frequencies without affecting the rest of the audio
Spectral editing displays audio as a frequency vs. time spectrogram, allowing surgical removal of individual sounds like coughs or squeaks at their specific frequency and time location.
What is the Nyquist theorem's significance in digital audio?
Answer: The sample rate must be at least twice the highest frequency to be recorded accurately
The Nyquist theorem states that to accurately capture a frequency, the sample rate must be at least twice that frequency, which is why 44.1 kHz captures frequencies up to 22.05 kHz.
What does 'parallel compression' (New York compression) involve?
Answer: Blending a heavily compressed signal with the dry uncompressed signal
Parallel compression mixes a heavily squashed version of a signal with the original, adding punch and density while retaining the natural transients of the dry signal.