When you upload a recording, the analyzer listens to every note you sang and measures how accurately and consistently you performed the pattern. Here is what each metric means and how to read your results.
Pitch accuracy tells you how close each note you sang was to the note you were aiming for. It is measured in cents — a unit that divides each semitone into 100 equal parts.
This is the average distance (in cents) between each note you sang and the target pitch. Lower is better.
Sometimes you sing the entire pattern a bit sharp or flat — maybe you started on the wrong pitch. The global offset separates this "starting point" error from note-to-note accuracy. If your interval accuracy is strong but your absolute accuracy is weak, the issue may simply be your starting pitch.
Stability measures how steady you hold each note once you land on it. Even if you hit the right pitch, wobbling around it is audible. The analyzer removes any deliberate vibrato and measures the remaining pitch variation.
If your stability numbers are high, try practicing long sustained tones on a single pitch, focusing on keeping your breath support consistent.
An onset is the moment you begin a note. The analyzer measures how long it takes you to settle onto the target pitch after you start singing it. A clean onset means you arrive at the correct pitch almost instantly; a scooped onset means you slide up (or down) into it.
Scooping is one of the most common habits in untrained singers. Practicing staccato exercises (short, detached notes) can help you learn to hit pitches cleanly.
Vibrato is the subtle, regular oscillation in pitch that gives a note warmth and life. The analyzer checks for three things:
How fast the vibrato oscillates, measured in cycles per second (Hz).
How far the pitch swings above and below center during each vibrato cycle.
How even the vibrato cycles are. Regular vibrato sounds polished; irregular vibrato sounds nervous or uncontrolled. This is reported as a consistency score — higher is better.
An interval is the jump between two consecutive notes in the pattern. The analyzer measures how accurately you make each jump, regardless of whether your overall pitch is sharp or flat.
Average interval error tells you how good your relative ear is. A singer with great interval accuracy and poor absolute accuracy just needs to start on the right note — their ear is doing the rest well.
The analyzer also looks for transition instability — moments where the pitch wobbles badly between two notes. This can indicate a register break (the voice "cracking" between chest and head voice) or simply hesitation.
These metrics describe the sound of your voice rather than the pitch. They are Tier 2 metrics — useful for tracking changes over time, but best compared against your own recordings rather than universal benchmarks.
Measures how much clear, harmonic tone your voice produces versus breathy noise. Higher values mean a cleaner sound.
A measure of vocal clarity and projection. Higher values mean a stronger, more focused sound.
The analyzer tracks how your volume (intensity) changes over the course of each note. This reveals how well you manage your airflow.
Not all metrics are equally reliable. The analyzer groups them into three tiers so you know how much weight to give each number.
Pitch accuracy, intervals, stability, and onsets. These are well-established measurements based on fundamental frequency tracking. You can trust these numbers and compare them across recordings.
HNR, CPPS, and intensity-based metrics. These depend on your microphone, recording environment, and distance from the mic. They are most useful when compared across recordings made with the same setup. A change in your numbers is more meaningful than the absolute value.
Advanced vibrato analysis and some transition metrics. These use newer algorithms and may not be accurate in every case. Treat them as interesting hints rather than definitive assessments.