Music Production
Analyze up to five bands, each with a frequency and amplitude, to locate your track’s brightness centre.
Discover if your mix leans low, mid, or high across multiple frequency bands.
The spectral centroid is a key audio feature that represents the center of mass of a frequency spectrum. It's calculated as the weighted average of frequencies in a signal, where each frequency is weighted by its magnitude. In music production, it serves as a useful timbral descriptor—a high spectral centroid indicates a bright, harsh sound with energy concentrated in higher frequencies, while a low centroid suggests a dark, warm tone dominated by lower frequencies. This metric is widely used in music information retrieval, timbre analysis, and audio classification tasks. Understanding spectral centroid helps producers make informed decisions about EQ, filtering, and sound design, enabling them to achieve desired brightness or warmth in their mixes.
The calculator processes an audio signal by computing its frequency spectrum (typically using FFT), identifying each frequency component and its corresponding magnitude. Each frequency is multiplied by its magnitude, and these products are summed together. The result is divided by the sum of all magnitudes, yielding the weighted average frequency—the spectral centroid. A higher result indicates more high-frequency content, while a lower result points to predominant low-frequency energy. This single metric efficiently captures the brightness or darkness of a sound.
SC = Σ(f × |X(f)|) / Σ|X(f)|, where f is frequency, X(f) is the magnitude spectrum. The numerator sums the products of each frequency and its magnitude, while the denominator normalizes by total spectral energy.
Kick drums typically range 60-150 Hz, snares 2-5 kHz, vocals 2-4 kHz, guitars 1-3 kHz, and cymbals 5-10 kHz. These are approximate and vary based on the specific instrument, playing technique, and sound design choices.
Spectral centroid directly correlates with perceived brightness. A higher centroid (above 5 kHz) sounds brighter and more present, while a lower centroid (below 2 kHz) sounds darker and duller. This makes it useful for objectively measuring timbral brightness.
Yes, many modern DAWs and AI-assisted mixing tools use spectral centroid analysis to suggest EQ settings. By comparing a track's centroid to reference tracks, the system can recommend boosts or cuts to achieve desired timbral characteristics.
No, spectral centroid is based on magnitude spectrum regardless of overall loudness. Two signals with identical frequency distributions but different amplitudes will have the same centroid, making it a loudness-independent timbral metric.
