MusicMind doesn't just detect mood. It explains WHY.

BRECVEMA emotion mechanism detection, modal emotion labels, per-chord emotional quality, valence, arousal, emotional arc, and mood tags — all computed from the waveform.

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What you get

Mood tags

Primary and secondary mood labels derived from audio features

Valence & arousal

Numeric scores on Thayer's two-dimensional emotion model

Emotional arc

10-point intensity curve showing how mood evolves through the track

Feature breakdown

Which audio features drove the classification (tempo, key, brightness, etc.)

Modal emotions

Each detected mode carries an emotional character — Dorian feels bittersweet, Lydian feels dreamy, Phrygian feels exotic. Labeled automatically.

BRECVEMA mechanisms

Which of the 8 psychological mechanisms of musical emotion are active — brain stem reflex, rhythmic entrainment, evaluative conditioning, and more.

The mood wheel

Click a quadrant to see what audio features drive that mood classification. MusicMind extends the traditional wheel with modal emotion labels (Dorian = bittersweet, Lydian = dreamy) and BRECVEMA mechanism detection.

High ArousalLow Arousal-Val+ValEuphoricAggressiveMelancholicPeaceful
Click a quadrant to explore

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Emotional arc types

From Huron (2006) and Eerola (2011). MusicMind matches detected energy arcs against these common emotional trajectories.

Euphoric Build

Steady build to ecstatic peak, graceful descent

edmtrancehouse

Visual: progressive intensity to explosion

Melancholic Wave

Oscillating sadness with brief moments of hope

indiesinger_songwriteremo

Visual: gentle oscillation dark palette

Aggressive Plateau

Quick rise to sustained high intensity

metalhardcoreindustrial

Visual: fast attack sustained chaos

Chill Drift

Gentle, meandering, low energy throughout

lo-fiambientchillhop

Visual: slow drift minimal change

Dramatic Narrative

Multi-act story with false peaks and true climax

progressivepost_rockcinematic

Visual: cinematic multi act

Drop Cycle

Repeating build-drop-recover cycle

dubstepbass_musicedm

Visual: cyclic explosion recovery

The 8 mechanisms of musical emotion

Juslin's BRECVEMA framework identifies eight distinct psychological mechanisms through which music causes emotion. MusicMind detects which mechanisms are active in your track.

Brain stem reflex

Sudden, loud, or dissonant sounds trigger a startle response. Detected via onset sharpness and dynamic range.

Rhythmic entrainment

The body syncs to a regular pulse. Detected via beat strength, tempo stability, and groove score.

Evaluative conditioning

Emotional associations learned from repeated pairing with events. Approximated via genre and timbre similarity.

Emotional contagion

Music mimics vocal expressions of emotion. Detected via vocal contour, vibrato, and spectral features.

Visual imagery

Music evokes mental images. Inferred from timbre, texture, and spatial qualities of the mix.

Episodic memory

Music triggers personal memories. Cannot be detected from audio alone — flagged as listener-dependent.

Musical expectancy

Emotion arises from met or violated expectations. Detected via harmonic surprise (IDyOM) and melodic contour.

Aesthetic judgment

Appreciation of craft and beauty. Approximated via harmonic sophistication and structural coherence.

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Titan Rising

Zeltor Kemp • Cinematic

Demo data, not research results
Journey typecrescendo
Dominant mechanismvisual_imagery
Valence+0.49
Energy profileexplosive

Demo data, not research results. Try your own track.

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Full MusicMind Report

This tool shows 1 of 8 sections.

The full MusicMind Report delivers all 8 in one document — shareable, exportable, and ready for your team.

Key & Scale Detection
BPM & Groove Analysis
Chord Progression
Song Structure
Mood & Emotion
Stem Balance
Sync Readiness
Visual Direction
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Frequently Asked Questions

What is Thayer's emotion model?+
Thayer's model plots emotions on two axes: valence (positive/negative) and arousal (calm/energetic). This creates four quadrants: euphoric, aggressive, melancholic, and peaceful. MusicMind maps audio features to this model.
How accurate is mood detection?+
Mood is subjective — the same song can feel different to different listeners. MusicMind uses audio features that correlate with emotional perception in research. Think of it as an informed analysis rather than ground truth.
What audio features drive mood classification?+
Key (major/minor), tempo, energy, spectral brightness, onset density, frequency balance, and dynamic range. These features are combined using rules derived from Gabrielsson & Lindstrom (2010).
What is the difference between valence and arousal?+
Valence measures positive vs. negative emotion (happy vs. sad). Arousal measures energy level (calm vs. excited). Together they form the two-dimensional emotion space used in music psychology research.
How does music cause emotion?+
Patrik Juslin's BRECVEMA framework identifies eight distinct mechanisms: brain stem reflex (startle), rhythmic entrainment (body syncing to the beat), evaluative conditioning (learned associations), emotional contagion (music mimicking vocal emotion), visual imagery, episodic memory, musical expectancy (surprise from violated expectations), and aesthetic judgment. MusicMind detects which mechanisms are most active in your track.
What is the BRECVEMA model?+
BRECVEMA is an acronym for the eight psychological mechanisms through which music induces emotion, proposed by Patrik Juslin (2013). Each letter stands for a mechanism: Brain stem reflex, Rhythmic entrainment, Evaluative Conditioning, emotional Contagion, Visual imagery, Episodic memory, Musical expectancy, and Aesthetic judgment. MusicMind maps detectable audio features to each mechanism.

Before you go — get the full picture

The free MusicMind Report analyzes your track across 14 cognitive layers. Key, BPM, chords, structure, emotion, and more — in under 15 seconds.

Analyze a track — free
Analyze a track — free