You Sang To Me by Marc Anthony is a 5:47 song at 112 BPM in the key of Bb major (Camelot 6B). It has a loudness range of 1.90 dB (LRA), a true peak of -0.54 dBTP, and an integrated loudness of -17.710 LUFS. The percussive structure features 495 kick hits, 333 snare hits, and 407 hi-hat hits (kick:snare ratio 1.5:1). The chord progression uses 16 unique chords with a harmonic complexity of 0.00. 34 key changes were detected. The dominant emotional quality is Sensual Intimacy. Vocals are present in 27% of the song. This profile contains over 190 data points generated by MusicArk's audio intelligence pipeline.
Among the 14 songs in the MusicArk, You Sang To Me ranks 2nd for aggressiveness, ranks among the lowest for dynamic range, and ranks among the lowest for harmonic complexity. Its closest match is A Change Is Gonna Come by Sam Cooke at 80% overall similarity.
Song shape
Energy, brightness, harmonic tension, and melody contour — with chord progression aligned to the same timeline.
Audio DNA
Key metrics extracted from the audio signal.
Temporal
- BPM
- 112
- Tempo variability
- 0.05
- Groove stability
- 0.41
- Swing feel
- 0.31
- Rhythmic density
- 0.50
- Syncopation score
- 0.92
- Beat clarity
- 0.16
Rhythm
Detected hits from stem analysis
Kick:Snare ratio: 1.5:1
Drum pattern grid
Harmonic
- Key
- Bb
- Mode
- major
- Camelot
- 6B
- Chord progression complexity
- 0.00
- Modulation events
- 9
- Resolution frequency
- 0.38
- Tonal brightness
- 0.92
Chord progression
16 unique chords
Chord progression complexity: 0.00
- A# major → G minor at 4.0s
- G minor → A# major at 12.0s
- A# major → F major at 16.0s
- F major → A# major at 20.0s
- A# major → G minor at 28.0s
- G minor → A# major at 32.0s
- A# major → G minor at 51.9s
- G minor → A# major at 55.9s
- A# major → G minor at 71.9s
- G minor → A# major at 79.9s
- A# major → F major at 83.9s
- F major → A# major at 87.9s
- A# major → G minor at 95.9s
- G minor → A# major at 103.8s
- A# major → F major at 107.8s
- F major → A# major at 111.8s
- A# major → G minor at 119.8s
- G minor → A# major at 123.8s
- A# major → G minor at 143.8s
- G minor → A# major at 147.8s
- A# major → G minor at 163.7s
- G minor → A# major at 171.7s
- A# major → F major at 175.7s
- F major → A# major at 179.7s
- A# major → G minor at 187.7s
- G minor → D# major at 195.7s
- D# major → F major at 199.7s
- F major → A# major at 207.7s
- A# major → G minor at 211.7s
- G minor → A# major at 215.7s
- A# major → F major at 223.7s
- F major → A# major at 227.6s
- A# major → G minor at 235.6s
- G minor → A# major at 243.6s
Harmonic tension arc
Pitch
- Average pitch height
- 0.09
- Pitch range
- 1.00
- Melody contour
- jagged
- Interval sharpness
- 0.42
- Repetition score
- 0.66
Timbre
- Spectral centroid
- 0.22
- Spectral brightness
- 0.14
- Spectral flux
- 0.29
- Harmonic richness
- 0.57
- Noise content
- 0.43
- Distortion level
- 0.61
- Transient sharpness
- 0.86
- Warmth / metallic
- 0.74
- Analog / digital feel
- 0.58
Energy
- Loudness (LUFS)
- -17.71
- Peak loudness
- 0.97
- Dynamic range
- 0.44
- Energy mean
- 0.98
- Energy std
- 0.12
- Energy peak position
- 0.00
- RMS level
- 0.98
- Aggressiveness
- 0.38
- Smoothness
- 0.60
- Urgency
- 0.34
1.90 dB
Higher values indicate more dynamic variation
Energy over time
LUFS per section
Spatial
- Stereo width
- 0.25
- Depth distribution
- 0.48
- Reverb size
- 0.36
- Dry / wet balance
- 0.52
- Stereo image motion
- 0.09
- Height perception
- 0.06
Stereo correlation
Stereo width over time
Arrangement
- Layer count mean
- 0.55
- Layer count peak
- 1.00
- Minimalism / maximalism
- 0.63
- Drums presence
- 0.43
- Bass presence
- 1.00
- Harmonic presence
- 0.57
- Melodic presence
- 0.46
- FX presence
- 0.04
Vocal presence: 27%
Average vocal pitch confidence: 0.20
Layer count over time
Production DNA
Stem balance and song structure from separated tracks.
— – — (0st)
- Drums
- Programmed
- Classification
- Algorithm confident (95%)
Bb ✓ matches key
36%
100%
Structure
Emotional Profile
What does this song feel like?
Valence
720
DevastationEuphoriaArousal
460
CatatonicExplosiveNostalgia
280
Future-facingAching memoryMystery
210
TransparentEnigmaticTriumph
490
DefeatedVictoriousMelancholy
220
JoyfulDevastatedSensuality
710
CerebralDeeply sensualInspiration
530
NeutralDeeply inspired
Narrative Arc
How the song moves through time.
Timeline
Archetype:
- Intro
- Opens with a sensual Latin guitar feel, evoking imagery of roses. Cinematic weight builds around 26 seconds as additional instrumentation enters. By 48 seconds the groundwork is fully laid for Marc Anthony's vocal entrance.
- Resolution
- Returns to the chorus after the Latin dance break. Ends on the lyric 'Oh but I feel it,' which the analyst identifies as the song's emotional anchor and perfect closing statement. The ending is described as earned and intentional.
Build phases
- 9% — Secondary instrumentation enters, shifting the atmosphere from intimate Latin guitar to something cinematic and heavier.
- 16% — Marc Anthony's vocal arrives. The production and emotional context are fully established and the song's narrative begins.
- 31% — Lyrics take on a choir-like quality, stereo image widens, and the song shifts into an inspirational register. Energy noticeably elevates.
Drop / climax points
- 31% — Choir-like swell with stereo expansion — the song reaches its first major emotional peak. Inspirational uplift. (intensity: 0.72)
- 65% — Latin dance break with violin and Marc Anthony ad libs — expressive, non-lyrical vocal climax. Peak sensual energy. (intensity: 0.78)
Emotional turns
- 31% — Shift from intimate personal devotion to an inspirational, almost communal feeling — the choir-like swell opens the song emotionally outward.
- 65% — Pivot from structured lyrics into expressive Latin dance break — the emotion becomes wordless and physical.
Surprises
- 65% — Unexpected Latin dance break with violin — analyst notes catching it mid-experience without knowing exactly when it started, suggesting it arrived naturally rather than being telegraphed.
Listening Context
Our recommendation on when and how to experience this record.
- Best Listening Context:
- IntimateCinematicIntrospective
- Time of day
- Evening
- Season
- Fall
- Repeatability
- 640 / 1000
Similar songs
Closest matches by overall similarity (spectral, emotional, color, temporal).
AI-Derived Intelligence
Patterns identified by AI analysis.
Hook strength
0.68
Memorability of the main hook.
Innovation score
0.17
How original is this song?
Emotional balance
0.87
How emotionally complex?
Color identity
Ten dimensions derived from the song's audio.
- Hue
- 300.0
- Saturation
- 0.53
- Luminance
- 0.43
- Edge sharpness
- 0.86
- Texture granularity
- 0.50
- Gradient motion
- 0.30
- Color depth
- 0.36
- Color layering
- 0.55
- Palette harmony
- 1.00
- Contrast composition
- 0.44
Lyrics
View on Genius ↗ Complete Data Inventory
Every data point available for this song. All data is free and open.
Song
album : "Marc Anthony"
analysis_version : "2.0"
analyst_name : "Andrew Brownlee"
artist : "Marc Anthony"
audio_quality_estimate : "high"
bpm_feel : null
bpm_feel_note : null
canonical_bpm : 112
canonical_bpm_source : "analyst"
color_generated : true
created_at : "2026-03-16T17:03:36.434537+00:00"
duration_seconds : 347.11
effective_bandwidth_hz : 10442
full_song_confirmed : true
id : "a1840e77-3d01-4065-851f-c3e3fbebc74b"
isrc : "USSM19904020"
published_at : "2026-03-17T19:11:08.475+00:00"
release_year : 1999
search_vector : "'anthoni':4A,6B 'marc':3A,5B 'sang':2A"
similarity_vector : [0.56174, 0.049321, 0.40839, 0.31289, 0.49794, 0.91617, 0.16375, 0.001832, 0.91816, 0.94358, 0.9, 0.21933, 0.14331, 0.29224, 0.57058, 0.42943, 0.60587, 0.73982, 0.57883, 0.9835, 0.12055, 0.43854, 0.38128, 0.6022, 0.2463, 0.47549, 0.36278, 0.52451, 0.055305, 0.6304, 0.42943, 1]
slug : "you-sang-to-me-marc-anthony"
source_sample_rate : 48000
status : "published"
tier1_complete : true
tier2_complete : true
tier3_complete : true
tier4_complete : true
title : "You Sang To Me"
updated_at : "2026-03-23T19:15:46.06941+00:00"
validation_complete : true
youtube_url : "https://www.youtube.com/watch?v=MY4YJxn-9Og"
Temporal
analyzed_at : "2026-03-22T16:15:00.548058+00:00"
beat_clarity : 0.16375
beat_strengths : 464 values [1, 0.10744, 0.1918, 0.092529, 0.24003, 0.27071, 0.14958, 0.017287, 0.17087, 0.306, ...]
beat_timestamps : 464 values [0.1161, 0.67338, 1.2074, 1.7647, 2.2988, 2.8328, 3.3901, 4.0171, 4.644, 5.178, ...]
beats_per_bar : null
bpm : 112
bpm_octave_corrected : false
bpm_raw : null
downbeat_timestamps : 116 values [0.1161, 2.2988, 4.644, 6.8267, 8.9861, 11.146, 13.328, 15.488, 17.67, 19.83, ...]
energy_shape : "steady"
groove_stability : 0.40839
library_primary : "librosa"
library_secondary : "essentia"
onset_density_curve : 508 values [0.1, 0.1, 0.1, 0.05, 0.1, 0.1, 0.15, 0.1, 0.1, 0.15, ...]
onset_strength_curve : 521 values [2.789, 1.3799, 1.1887, 1.2696, 1.4671, 1.4796, 1.6573, 1.2552, 1.1085, 1.5471, ...]
onset_timestamps : 946 values [0.09288, 0.48762, 0.67338, 0.83592, 1.2074, 1.3932, 1.9273, 2.113, 2.2756, 2.6471, ...]
per_beat_centroid : 464 values [0.1086, 0.0658, 0.034, 0.0548, 0.1116, 0.0444, 0.0445, 0.0478, 0.0654, 0.0852, ...]
per_beat_dominant_band : 464 values ["sub_bass", "low_mid", "low_mid", "low_mid", "high", "low_mid", "low_mid", "low_mid", "low_mid", "sub_bass", ...]
per_beat_energy : 464 values [0.9955, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...]
raw_librosa_bpm : 112.35
rhythmic_density : 0.49794
swing_feel : 0.31289
syncopation_score : 0.91617
tempo_curve : 463 values [107.67, 112.35, 107.67, 112.35, 112.35, 107.67, 95.703, 95.703, 112.35, 107.67, ...]
tempo_map : [{"bpm":112.3,"start_seconds":0}, {"bpm":161.5,"start_seconds":210}]
tempo_marking : "allegro"
tempo_variability : 0.049321
tempogram : 40,000 values (time–frequency matrix) [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...]
time_signature : null
Harmonic
analyzed_at : "2026-03-22T16:15:00.982846+00:00"
camelot_position : "6B"
chord_labels : 520 values ["A#", "A#", "A#", "A#", "A#", "A#", "A#", "A#", "A#", "A#", ...]
chord_progression_complexity : 0.0018315
chord_timestamps : 520 values [0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, ...]
chromagram : 6,252 values [0.29524, 0.34549, 0.21676, 0.48421, 0.32664, 0.38075, 0.33416, 0.35768, 0.41, 0.60916, ...]
essentia_harmonic_tension_curve : 507 values [0.49991, 0.49993, 0.49985, 0.49986, 0.49999, 0.4999, 0.49994, 0.49993, 0.49991, 0.49985, ...]
harmonic_tension_curve : 507 values [0.49991, 0.49993, 0.49985, 0.49986, 0.49999, 0.4999, 0.49994, 0.49993, 0.49991, 0.49985, ...]
hpcp_over_time : 6,252 values [0.29524, 0.34549, 0.21676, 0.48421, 0.32664, 0.38075, 0.33416, 0.35768, 0.41, 0.60916, ...]
hpcp_vector : [0.48981, 0.59499, 0.21278, 0.55604, 0.20166, 0.7989, 0.4834, 0.24195, 1, 0.23496, 0.49646, 0.16382]
key : "Bb"
key_change_from : ["A# major", "G minor", "A# major", "F major", "A# major", "G minor", "A# major", "G minor", "A# major", "G minor", "A# major", "F major", "A# major", "G minor", "A# major", "F major", "A# major", "G minor", "A# major", "G minor", "A# major", "G minor", "A# major", "F major", "A# major", "G minor", "D# major", "F major", "A# major", "G minor", "A# major", "F major", "A# major", "G minor"]
key_change_timestamps : [3.994, 11.981, 15.975, 19.969, 27.957, 31.951, 51.92, 55.914, 71.889, 79.877, 83.87, 87.864, 95.852, 103.84, 107.83, 111.83, 119.81, 123.81, 143.78, 147.77, 163.75, 171.74, 175.73, 179.72, 187.71, 195.7, 199.69, 207.68, 211.67, 215.67, 223.66, 227.65, 235.64, 243.62]
key_change_to : ["G minor", "A# major", "F major", "A# major", "G minor", "A# major", "G minor", "A# major", "G minor", "A# major", "F major", "A# major", "G minor", "A# major", "F major", "A# major", "G minor", "A# major", "G minor", "A# major", "G minor", "A# major", "F major", "A# major", "G minor", "D# major", "F major", "A# major", "G minor", "A# major", "F major", "A# major", "G minor", "A# major"]
key_confidence : 0.94358
key_map : [{"key":"Bb","mode":"major","start_seconds":0}, {"key":"G","mode":"minor","start_seconds":50}, {"key":"F","mode":"major","start_seconds":60}, {"key":"Bb","mode":"major","start_seconds":70}, {"key":"G","mode":"minor","start_seconds":120}, {"key":"F","mode":"major","start_seconds":130}, {"key":"Bb","mode":"major","start_seconds":140}, {"key":"G","mode":"minor","start_seconds":190}, {"key":"F","mode":"major","start_seconds":200}, {"key":"Bb","mode":"major","start_seconds":210}]
mode : "major"
mode_detail : null
mode_family : "major"
modulation_events : 9
non_western_scale : false
resolution_frequency : 0.38077
tonal_brightness : 0.91816
tonnetz_curves : 3126 values [-0.064817, -0.080254, -0.11696, -0.056421, -0.11449, 0.0047806, -0.081548, -0.12251, -0.045326, -0.031327, ...]
Pitch
analyzed_at : "2026-03-22T16:15:01.143292+00:00"
average_pitch_height : 0.086024
interval_sharpness : 0.42311
melody_contour : 507 values [46, 46, 46, 46, 46, 58, 46, 53, 53, 0, ...]
melody_contour_type : "jagged"
pitch_confidence_curve : 521 values [0.01001, 0.01, 0.010014, 0.01, 0.010041, 0.010008, 0.010002, 0.010007, 0.010019, 0.010002, ...]
pitch_contour_hz : 521 values [24.762, 15.476, 0, 0, 101.97, 21.088, 38.898, 0, 0, 0, ...]
pitch_contour_midi : 521 values [13.673, 8.5457, 0, 0, 39.712, 7.156, 19.963, 0, 0, 0, ...]
pitch_range : 1
repetition_score : 0.6644
Timbre
analog_digital_feel : 0.57883
analyzed_at : "2026-03-22T16:15:01.68433+00:00"
brightness_curve : 507 values [0.23677, 0.2281, 0.20904, 0.21462, 0.23765, 0.22468, 0.23945, 0.21567, 0.23567, 0.18937, ...]
distortion_level : 0.60587
fft_spectrum_256 : 76,800 values (256 bands × 300 frames) [0, 0.6776, 0.4653, 0.447, 0.5952, 0.5603, 0.4733, 0.7941, 0.6783, 0.681, ...]
harmonic_energy_curve : 521 values [0.10672, 0.13488, 0.13366, 0.098256, 0.086331, 0.099707, 0.12413, 0.10876, 0.096637, 0.083191, ...]
harmonic_percussive_ratio_curve : 521 values [0.62336, 0.67251, 0.76096, 0.61128, 0.65517, 0.66512, 0.70402, 0.61758, 0.72504, 0.58419, ...]
harmonic_richness : 0.57057
mel_spectrogram_compressed : 64,000 values [0, 0.72421, 0.68223, 0.76904, 0.76605, 0.53674, 0.81135, 0.64992, 0.53892, 0.63586, ...]
mfcc_curves : 6,773 values [-194.54, -80.273, -269.29, -265.63, -170.66, -250.13, -184.92, -173.86, -329.7, -279.93, ...]
mfcc_delta_curves : 6,773 values [49.355, -7.936, -2.0592, 1.3509, -1.8272, 6.8855, -3.0833, -4.5135, 0.87237, -0.79811, ...]
mfcc_delta2_curves : 6,773 values [-24.563, -1.2909, 3.2279, -3.4532, 0.30517, 2.2447, -3.949, 2.1402, 5.5224, -6.4051, ...]
mfcc_mean : [0, 1, 0.65223, 1, 0.30784, 1, 0.34508, 1, 0.33269, 1, 0.3673, 1, 0.39503]
mfcc_std : [1, 1, 0.85302, 0.65352, 0.53928, 0.48485, 0.49218, 0.42957, 0.48393, 0.53806, 0.60288, 0.4224, 0.40104]
noise_content : 0.42943
percussive_energy_curve : 521 values [0.063803, 0.072237, 0.051179, 0.074072, 0.055528, 0.064607, 0.060134, 0.079483, 0.0479, 0.071878, ...]
spectral_bandwidth_curve : 521 values [0.1957, 0.14618, 0.08056, 0.10316, 0.16631, 0.094125, 0.10733, 0.14335, 0.092532, 0.11424, ...]
spectral_brightness : 0.14331
spectral_centroid : 0.21933
spectral_centroid_curve : 521 values [0.10857, 0.065826, 0.033964, 0.054836, 0.11159, 0.044373, 0.044453, 0.086797, 0.047805, 0.065437, ...]
spectral_contrast_curves : 3647 values [37.609, 41.501, 41.644, 42.449, 39.142, 41.984, 46.584, 47.347, 40.982, 42.625, ...]
spectral_entropy_curve : 521 values [0.52738, 0.46783, 0.41099, 0.48067, 0.58188, 0.47221, 0.44298, 0.49283, 0.47678, 0.49947, ...]
spectral_flatness : 0.035075
spectral_flatness_curve : 521 values [0.054219, 0.000073949, 0.0000018201, 0.000025252, 0.00035494, 0.0000044307, 0.000011639, 0.00016338, 0.0000064505, 0.000079787, ...]
spectral_flux : 0.29224
spectral_kurtosis_curve : 521 values [0.60461, 0.80977, 1, 0.90503, 0.6662, 1, 0.94861, 0.7719, 0.97863, 0.88654, ...]
spectral_rolloff_curve : 521 values [0.25693, 0.13058, 0.034877, 0.098819, 0.25921, 0.052734, 0.048875, 0.19582, 0.071847, 0.1303, ...]
spectral_skewness_curve : 521 values [0.87635, 0.95025, 1, 0.9728, 0.89307, 0.99632, 0.98799, 0.92197, 0.99494, 0.96058, ...]
transient_sharpness : 0.86243
warmth_metallic_index : 0.73982
zero_crossing_rate_curve : 521 values [0.18113, 0.14056, 0.068266, 0.091448, 0.15411, 0.084194, 0.081031, 0.13502, 0.093052, 0.099888, ...]
Energy
aggressiveness_index : 0.38128
analyzed_at : "2026-03-22T16:15:02.343624+00:00"
average_loudness_lufs : -17.71
bass_treble_ratio_curve : 521 values [0.78789, 0.85552, 0.90261, 0.86073, 0.66607, 0.83158, 0.89698, 0.81027, 0.84344, 0.83225, ...]
crest_factor_curve : 521 values [0.10983, 0.012259, 0.0097248, 0.014205, 0.024811, 0.016973, 0.010894, 0.012127, 0.015792, 0.019462, ...]
danceability : 1
dynamic_range_db : 32.83
dynamic_range_score : 0.43854
energy_curve : 521 values [0.99554, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...]
energy_curve_bass : 521 values [0.22025, 0.2735, 0.26633, 0.21968, 0.076553, 0.21038, 0.23339, 0.22049, 0.15129, 0.17842, ...]
energy_curve_brilliance : 521 values [0.075223, 0.13286, 0.022629, 0.043482, 0.11273, 0.045106, 0.063522, 0.10716, 0.013424, 0.041735, ...]
energy_curve_high : 521 values [0.1374, 0.16216, 0.02821, 0.047122, 0.14908, 0.047707, 0.054733, 0.14929, 0.021646, 0.041844, ...]
energy_curve_low_mid : 521 values [0.17742, 0.2549, 0.25284, 0.20709, 0.093851, 0.20465, 0.20792, 0.2194, 0.14972, 0.15569, ...]
energy_curve_low_mid_6 : 521 values [0.023804, 0.06041, 0.048629, 0.03976, 0.070828, 0.048166, 0.0495, 0.058168, 0.042595, 0.031644, ...]
energy_curve_mid : 521 values [0.018398, 0.035071, 0.031716, 0.031224, 0.054633, 0.033757, 0.029151, 0.033013, 0.032538, 0.026618, ...]
energy_curve_mid_6 : 521 values [0.030937, 0.049798, 0.043787, 0.04992, 0.066881, 0.049517, 0.041994, 0.057357, 0.05741, 0.051188, ...]
energy_curve_sub : 521 values [0.19303, 0.14576, 0.10722, 0.05426, 0.037571, 0.12464, 0.18553, 0.084741, 0.041327, 0.066819, ...]
energy_curve_sub_bass : 521 values [0.21617, 0.17127, 0.12438, 0.087449, 0.03911, 0.11976, 0.19935, 0.10545, 0.06559, 0.11467, ...]
energy_curve_upper_mid : 521 values [0.15606, 0.15854, 0.027862, 0.043234, 0.15123, 0.04314, 0.042645, 0.15477, 0.02367, 0.036575, ...]
energy_mean : 0.9835
energy_peak_position : 0.0019231
energy_rate_of_change : 521 values [0, 0.004461, 0, 0, 0, 0, 0, 0, 0, 0, ...]
energy_std : 0.12055
essentia_energy_curve : 507 values [0.82836, 0.89553, 0.81169, 0.77375, 0.56102, 0.86433, 0.8207, 0.73143, 0.64003, 0.72598, ...]
integrated_loudness_lufs : -17.71
loudness_curve_perceptual : 521 values [0.99554, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...]
loudness_range_lra : 1.9
lufs_per_section : [-16.96, -17.31, -17.08, -17.48, -17.83, -18.03, -17.99, -17.37, -17.78, -16.93, -17.99, -18.37, -18, -17.7, -17.61, -17.79, -16.94, -18.26, -18.99, -16.9, -19.16, -17.43, -18.4, -21.15, -19.39, -19.91]
peak_loudness : 0.97182
rms_level : 0.9835
smoothness_index : 0.6022
true_peak_dbtp : -0.54
urgency_index : 0.34284
waveform_peaks_max : 1000 values [0.70531, 0.59191, 0.61258, 0.72533, 0.52045, 0.5509, 0.55126, 0.54546, 0.73628, 0.40229, ...]
waveform_peaks_min : 1000 values [-0.80042, -0.46804, -0.62463, -0.78908, -0.4783, -0.5653, -0.62159, -0.62535, -0.68518, -0.39723, ...]
waveform_rms_envelope : 5,075 values [0.000038166, 0.11068, 0.24901, 0.24503, 0.20052, 0.17224, 0.13157, 0.098899, 0.096665, 0.1512, ...]
Spatial
analyzed_at : "2026-03-22T16:15:02.510574+00:00"
depth_distribution : 0.47549
dry_wet_balance : 0.52451
height_perception : 0.0643
mid_energy_curve : 507 values [0.82218, 0.89184, 0.80829, 0.77079, 0.55748, 0.85937, 0.81528, 0.72934, 0.63354, 0.72311, ...]
phase_coherence_curve : 507 values [0.7203, 0.79565, 0.63711, 0.6684, 0.80247, 0.73409, 0.6456, 0.78479, 0.63681, 0.6597, ...]
reverb_size : 0.36278
side_energy_curve : 507 values [0.59677, 0.71288, 0.69769, 0.85304, 0.8974, 0.74866, 0.71701, 0.72364, 0.66035, 0.64263, ...]
stereo_correlation_curve : 507 values [0.93766, 0.92186, 0.90934, 0.86992, 0.73106, 0.90622, 0.91193, 0.88001, 0.87674, 0.90337, ...]
stereo_image_motion : 0.0862
stereo_width : 0.2463
stereo_width_curve : 507 values [0.15629, 0.16944, 0.18052, 0.22024, 0.2912, 0.18189, 0.18331, 0.20206, 0.21012, 0.18488, ...]
Arrangement
analyzed_at : "2026-03-22T16:15:02.639305+00:00"
bass_presence : 1
drums_presence : 0.42943
fade_out : true
fx_presence : 0.040512
harmonic_presence : 0.57057
intro_end_seconds : 0.05
is_instrumental_estimate : false
layer_count_mean : 0.55305
layer_count_over_time : 521 values [0.46286, 0.4, 0.37333, 0.43048, 0.72571, 0.44571, 0.38667, 0.47429, 0.49333, 0.54667, ...]
layer_count_peak : 1
melodic_presence : 0.45671
minimalism_maximalism_score : 0.6304
novelty_curve : 521 values [0.02757, 0.076045, 0.086989, 0.063569, 0.058094, 0.11293, 0.030831, 0.079169, 0.095981, 0.059423, ...]
outro_start_seconds : 250.17
repetition_pairs : [{"segment_a":69,"segment_b":79,"similarity":0.7587456241080139}]
self_similarity_matrix : 10,000 values [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...]
silence_count : 1
silence_map : [{"end":253.63,"start":250.52,"duration":3.11}]
total_silence_seconds : 3.11
vocal_activity_map : 517 values [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...]
vocal_energy_ratio : 0.2798
Stems
analysis_bass_centroid_curve : 517 values [0.045552, 0.016896, 0.015753, 0.021671, 0.023492, 0.014943, 0.017048, 0.015994, 0.018058, 0.01802, ...]
analysis_bass_energy_curve : 517 values [0.4633, 0.5973, 0.52706, 0.21787, 0.16746, 0.39777, 0.49999, 0.34608, 0.23168, 0.19402, ...]
analysis_bass_pitch_contour_hz : 517 values [44.412, 54.75, 55.869, 58.396, 58.309, 46.661, 55.13, 58.15, 58.345, 58.256, ...]
analysis_bass_pitch_contour_midi : 517 values [25.892, 31.865, 32.56, 34.037, 34.011, 29.136, 32.326, 33.963, 34.022, 33.996, ...]
analysis_created_at : "2026-03-22T16:15:03.304345+00:00"
analysis_drum_onset_strengths : 1235 values [0.98066, 0.11802, 0.30961, 0.72389, 0.20424, 0.2802, 0.32512, 0.36746, 0.72052, 0.30523, ...]
analysis_drum_onset_timestamps : 1235 values [0.096, 0.46933, 0.64, 0.82133, 1.184, 1.3547, 1.536, 1.7173, 1.8987, 2.08, ...]
analysis_drum_pattern_confidence : 0.51758
analysis_drum_pattern_type : "irregular"
analysis_drums_centroid_curve : 517 values [0.30445, 0.28323, 0.27907, 0.20645, 0.2339, 0.29, 0.31148, 0.22673, 0.25866, 0.203, ...]
analysis_drums_energy_curve : 517 values [0.27304, 0.28434, 0.18215, 0.29112, 0.15448, 0.24149, 0.22124, 0.25909, 0.18484, 0.3081, ...]
analysis_hihat_timestamps : 407 values [0.46933, 1.184, 1.536, 3.1573, 3.3493, 4.0747, 4.4267, 4.9813, 5.0133, 6.0587, ...]
analysis_kick_timestamps : 495 values [0.096, 0.64, 1.3547, 1.7173, 1.8987, 2.8053, 2.9867, 3.5307, 4.2453, 4.608, ...]
analysis_other_centroid_curve : 517 values [0.11159, 0.095126, 0.090539, 0.081678, 0.094185, 0.073337, 0.065114, 0.10345, 0.084303, 0.086682, ...]
analysis_other_energy_curve : 517 values [0.34231, 0.48549, 0.54992, 0.59951, 0.59946, 0.50447, 0.5963, 0.55061, 0.60389, 0.48177, ...]
analysis_snare_timestamps : 333 values [0.82133, 2.08, 2.2507, 2.624, 3.7013, 5.152, 5.5147, 5.696, 6.592, 7.8613, ...]
analysis_updated_at : "2026-03-22T16:15:03.524715+00:00"
analysis_vocal_centroid_curve : 517 values [0.44294, 0.47486, 0.53933, 0.50695, 0.4417, 0.49371, 0.47559, 0.46229, 0.47771, 0.44056, ...]
analysis_vocal_energy_curve : 517 values [0.0004321, 0.00052523, 0.00071312, 0.00054571, 0.00038881, 0.00054966, 0.00046493, 0.00045309, 0.00041234, 0.00030669, ...]
analysis_vocal_pitch_confidence : 517 values [0.069857, 0.082077, 0.10204, 0.093313, 0.07206, 0.094036, 0.090079, 0.080591, 0.079378, 0.049495, ...]
analysis_vocal_pitch_contour_hz : 517 values [1997.6, 1823.9, 1867.3, 1954.2, 1476.5, 1997.6, 1650.2, 1823.9, 1389.6, 1823.9, ...]
analysis_vocal_pitch_contour_midi : 517 values [95.192, 86.915, 88.984, 93.123, 70.359, 95.192, 78.637, 86.915, 66.221, 86.915, ...]
analysis_vocal_vibrato_extent : 11
analysis_vocal_vibrato_presence : 0.93925
analysis_vocal_vibrato_rate : 8.5227
bass_energy_curve : 507 values [0.801, 0.9352, 0.7973, 0.3002, 0.2211, 0.6418, 0.8382, 0.3894, 0.3114, 0.3661, ...]
bass_line_complexity : 1
bass_pitch_mean : 49.86
bass_prominence : 0.4281
bass_rms : 0.059092
bass_root_note : "Bb"
bass_sub_ratio : 0.363
created_at : "2026-03-19T07:12:18.905569+00:00"
drums_classification_confidence : 0.95
drums_classification_source : "algorithm_confident"
drums_energy_curve : 507 values [0.706, 0.7448, 0.59, 0.811, 0.4605, 0.847, 0.4398, 0.7395, 0.6109, 0.7963, ...]
drums_is_programmed : true
drums_onset_density : 4.8693
drums_pattern_complexity : 0.0081
drums_prominence : 0.573
drums_rms : 0.07908
drums_timing_variance : 0.01383
harmonic_vocal_balance : 0.5881
key_bass_agreement : true
key_validated : true
other_energy_curve : 507 values [0.5501, 0.668, 0.7712, 0.8301, 0.8303, 0.6977, 0.8495, 0.7772, 0.8124, 0.6839, ...]
other_harmonic_density : 0.9944
other_prominence : 0.3314
other_rms : 0.045739
other_spectral_centroid : 0.0897
rhythmic_foundation : 1
section_map : [{"type":"instrumental","end_seconds":39,"start_seconds":0}, {"type":"verse","end_seconds":197,"start_seconds":39}, {"type":"chorus","end_seconds":225.5,"start_seconds":197}, {"type":"verse","end_seconds":253.5,"start_seconds":225.5}]
separation_model : "htdemucs_ft"
separation_time_seconds : 10.5
stem_separation_quality : 0.9227
stems_available : true
updated_at : "2026-03-22T16:15:03.425997+00:00"
vocal_breathiness : 0.3167
vocal_effort_curve : 507 values [0.0008, 0.001, 0.0013, 0.001, 0.0007, 0.001, 0.0008, 0.0009, 0.0006, 0.0007, ...]
vocal_pitch_curve : []
vocal_pitch_mean : 0
vocal_pitch_std : 0
vocal_prominence : 0.4732
vocal_range_high_hz : 0
vocal_range_high_midi : 0
vocal_range_low_hz : 0
vocal_range_low_midi : 0
vocal_range_semitones : 0
vocal_rms : 0.065307
vocal_vibrato_depth : 0
vocal_vibrato_rate : 0
vocal_voiced_ratio : 0
Color
algorithm_version : "1.0"
color_depth : 0.3628
color_layering : 0.553
contrast_composition : 0.4385
edge_sharpness : 0.8624
generated_at : "2026-03-22T16:15:05.675001+00:00"
gradient_motion : 0.3005
hex : "#A934A9"
hue : 300
luminance : 0.4336
oklch_chroma : 0.21012
oklch_hue : 326.61
oklch_lightness : 0.54253
palette_harmony : 0.9982
saturation : 0.5313
texture_granularity : 0.4979
AI-Derived (Tier 2)
analog_digital_feel : null
claude_model : "claude-sonnet-4-6"
color_temperature_curve : 521 values [0.88296, 0.88363, 0.88363, 0.88363, 0.88363, 0.88363, 0.88363, 0.88363, 0.88363, 0.88363, ...]
contrast_volatility : 0.052868
danceability_curve : 521 values [1, 0.74704, 0.67561, 0.68878, 0.73353, 0.76147, 0.83869, 0.68987, 0.6339, 0.7802, ...]
derivation_prompt_version : "tier2_v2.0"
derived_at : "2026-03-16T17:09:01.081392+00:00"
emotional_balance : 0.87
emotional_intensity_curve : 521 values [0.47757, 0.47721, 0.48129, 0.46942, 0.48233, 0.47325, 0.47715, 0.47485, 0.47973, 0.46825, ...]
genre_conformity_score : 0.8
geometric_sharpness : 0.5
hook_density : 0.62
hook_strength : 0.68
innovation_score : 0.17
motif_uniqueness : 0.62
motion_velocity_mapping : 521 values [0.63421, 0.63705, 0.63705, 0.63705, 0.63705, 0.63705, 0.63705, 0.63705, 0.63705, 0.63705, ...]
narrative_curvature : 0.44
organic_mechanical_feel : 0.38
particle_density_mapping : 521 values [0.29179, 0.25216, 0.23535, 0.27137, 0.45749, 0.28098, 0.24376, 0.29899, 0.311, 0.34462, ...]
signal_entropy : 0.17
structural_predictability : 0.74
tempo_feel : null
tempo_feel_confidence : null
tempo_feel_note : null
tension_curve_composite : 521 values [0.446, 0.43644, 0.42845, 0.42367, 0.44789, 0.43106, 0.4411, 0.44168, 0.43192, 0.44632, ...]
textural_complexity_curve : 521 values [0.51707, 0.48035, 0.4553, 0.48335, 0.61228, 0.49538, 0.4789, 0.51014, 0.51103, 0.54384, ...]
visual_brightness_curve : 521 values [0.84623, 0.85003, 0.85002, 0.85005, 0.85004, 0.85, 0.85003, 0.85002, 0.85002, 0.85003, ...]
warmth_metallic_index : null
Emotional (Tier 3)
analyst_confirmed : true
analyst_id : "daef3c29-b712-473c-b01e-346323d60aea"
arousal : 460
arousal_confidence : 0.8
confirmed_at : "2026-03-17T19:11:08.475+00:00"
created_at : "2026-03-17T19:08:48.366269+00:00"
dominant_emotion : "sensual intimacy"
inspirational_confidence : 0.78
inspirational_quality : 530
melancholy_confidence : 0.65
melancholy_index : 220
mystery_confidence : 0.55
mystery_index : 210
nostalgia_confidence : 0.35
nostalgia_index : 280
sensuality_confidence : 0.93
sensuality_index : 710
triumph_confidence : 0.6
triumph_index : 490
updated_at : "2026-03-17T19:08:48.366269+00:00"
valence : 720
valence_confidence : 0.85
Context (Tier 3)
analyst_confirmed : true
analyst_id : "daef3c29-b712-473c-b01e-346323d60aea"
confirmed_at : "2026-03-17T19:11:08.475+00:00"
created_at : "2026-03-17T19:08:48.463122+00:00"
explicit_lyrics : null
family_friendly : null
headphones_speakers : null
listening_context : ["intimate", "cinematic", "introspective"]
listening_context_confidence : 0.85
repeatability_confidence : 0.8
repeatability_score : 640
seasonal_feel : ["fall"]
seasonal_feel_confidence : 0
solo_group : null
time_of_day : ["evening"]
time_of_day_confidence : 0.42
updated_at : "2026-03-17T19:08:48.463122+00:00"
Narrative (Tier 3)
analyst_confirmed : true
analyst_id : "daef3c29-b712-473c-b01e-346323d60aea"
arc_confidence : 0.78
arc_notes : null
build_phases : [{"description":"Secondary instrumentation enters, shifting the atmosphere from intimate Latin guitar to something cinematic and heavier.","timestamp_normalized":0.09}, {"description":"Marc Anthony's vocal arrives. The production and emotional context are fully established and the song's narrative begins.","timestamp_normalized":0.16}, {"description":"Lyrics take on a choir-like quality, stereo image widens, and the song shifts into an inspirational register. Energy noticeably elevates.","timestamp_normalized":0.31}]
confirmed_at : "2026-03-17T19:11:08.475+00:00"
created_at : "2026-03-17T19:08:48.543566+00:00"
drop_climax_points : [{"intensity":0.72,"description":"Choir-like swell with stereo expansion — the song reaches its first major emotional peak. Inspirational uplift.","timestamp_normalized":0.31}, {"intensity":0.78,"description":"Latin dance break with violin and Marc Anthony ad libs — expressive, non-lyrical vocal climax. Peak sensual energy.","timestamp_normalized":0.65}]
emotional_turning_points : [{"shift_type":"positive","description":"Shift from intimate personal devotion to an inspirational, almost communal feeling — the choir-like swell opens the song emotionally outward.","timestamp_normalized":0.31}, {"shift_type":"complex","description":"Pivot from structured lyrics into expressive Latin dance break — the emotion becomes wordless and physical.","timestamp_normalized":0.65}]
intro_energy : "Opens with a sensual Latin guitar feel, evoking imagery of roses. Cinematic weight builds around 26 seconds as additional instrumentation enters. By 48 seconds the groundwork is fully laid for Marc Anthony's vocal entrance."
overall_arc_type : "wave"
resolution_phase : "Returns to the chorus after the Latin dance break. Ends on the lyric 'Oh but I feel it,' which the analyst identifies as the song's emotional anchor and perfect closing statement. The ending is described as earned and intentional."
surprise_moments : [{"description":"Unexpected Latin dance break with violin — analyst notes catching it mid-experience without knowing exactly when it started, suggesting it arrived naturally rather than being telegraphed.","timestamp_normalized":0.65}]
updated_at : "2026-03-17T19:08:48.543566+00:00"
Cultural (Tier 3)
analyst_confirmed : true
analyst_credit : "Andrew Brownlee"
analyst_id : "daef3c29-b712-473c-b01e-346323d60aea"
confirmed_at : "2026-03-17T19:11:08.475+00:00"
created_at : "2026-03-17T19:08:48.618681+00:00"
cultural_context_notes : null
cultural_origin : null
listening_notes : null
production_era : null
updated_at : "2026-03-17T19:08:48.618681+00:00"
External (Tier 4)
acrcloud_id : null
apple_music_id : "191009470"
apple_music_url : "https://music.apple.com/us/album/you-sang-to-me/191009179?i=191009470"
external_bpm_reference : null
external_key_reference : null
external_source : null
fetched_at : "2026-03-16T17:03:39.431179+00:00"
genius_id : 206729
genius_url : "https://genius.com/Marc-anthony-you-sang-to-me-lyrics"
lyrics : 1883 characters "[Verse 1]\nI just wanted you to comfort me\nWhen I called you late last night you see\nI was falling' into love\nOh yes, I was crashing' into love\nOh of all the words you sang to me\nAbout life, the truth and being' free yea\nYou sang to me, oh how you sang to me\nGirl I live off how you make me feel\nSo I "…
lyrics_annotations : []
musicbrainz_id : null
spotify_id : null
spotify_uri : null
updated_at : "2026-03-23T19:15:46.06941+00:00"
Full array data available: Download complete JSON →
For programmatic access across multiple songs: MusicArk API (coming soon)
Use this data
Audio-reactive visuals (TouchDesigner, Notch, Unreal Niagara, Resolume) · DJ mixing & Camelot compatibility · Music production analysis · Emotional scoring for sync licensing · AI and ML training · Data journalism and music research
Browse any song profile for the full analysis. Download the complete dataset for any song as JSON. For batch access across the full catalog, the MusicArk API is coming soon.