HomeTrackInto the Mist? Guide
Into the MistSuno

Into the MistAI Track

KASSY
🎵 Suno📅 5/5/2026 Published
イントロ
Aメロ1
Bメロ1
サビ1
間奏
Aメロ2
Bメロ2
サビ2
Cメロ
サビ3
ラストサビ
アウトロ
Loading waveform…
0:00 / 0:00

</>MusicIDE — リアルタイム解析▶ 楽曲を再生すると FFT / コード / BPM がライブで流れます (停止中は静止)

track_13B52495.mp3 — analysis.mscv2.4.1PID 0x13B5 · 44.1kHz · 4096 fft · 86ms latency
analysis.msc 20
spectrum.fft 2048
timeline.tsv
debug.log 3
1234567891011121314151617181920
// ── MusicIDE v2.4.1 · stream_id=0x13B52495 · t=42.187s ──
const scale = 'A minor' conf 87% ▂▃▅▇█▇▅▃
const bpm = 128.07 ± 0.42 ▆▇█▇▆▇█▇ stable 94%
const key_root = 'A3' 220.00Hz 0x4A5F2C
// ── frequency bands · resolution: 10.77Hz/bin ──
export fn bass() → 0.000 ▁▃▅▆█▇▅▃ -24.8dB 0-300Hz
export fn mid() → 0.000 ▂▄▆▇█▆▄▂ -28.2dB 300-3kHz
export fn treble()→ 0.000 ▁▂▃▅▇▅▃▁ -33.7dB 3k-20kHz
// ── dynamics & loudness ──
const rms = 0.000 ██████░░░░ peak: 0.892
const lufs = -8.14 LUFS ████████░░ loud
const energy = 0.000 J/s ▃▅▆▇█▇▆▅ ↗ rising
const centroid = 0 Hz brightness: 0.42 ▃▄▅▆▇▆▅▄
const flatness = 0.000 tonal (noise < 0.5)
const zcr = 0.000 zero-crossing rate ▂▃▂▃▄▃▂▃
// ── stereo field ──
const width = 0.50 L━━━●━━R stereo
const phase = +0.91 ▇█▇▆▇█▇█ in-phase ✓
// ── ML chord probs · model: chord-tcn-v3 ──
return { 'Dm9':0.91, 'Em7':0.78, 'Fmaj7':0.62 }
CHORD PROGRESSION LIVE
▶ 再生すると和音の流れがここに現れます
WAVEFORM
METADATA
sample44.1k
channels2ch
duration5:05
toolSuno
ai_score69 conf md
human70 +1
div_tag
mood(+1.00, -1.00) · 0.32
CHROMA
CC#DD#EFF#GG#AA#B
SPECTRUM FFT LIVE
100Hz1k5k10k20k
BAND LEVELS LIVE
SUB
0.00
BASS
0.00
LOW-M
0.00
MID
0.00
PRES
0.00
AIR
0.00
CHORD CANDIDATES LIVE
Dm9iv — sub
91%
Em7v — min
78%
Fmaj7VI — med
62%
C△III — med
46%
PITCH DETECT LIVE
A4
249 Hz
analyzer IDLE
mem: 128MB
cpu: 14%
frame: 00000
drop: 0
IDLE
SONG STRUCTURE — セクション詳細 Total 5:05 · 12 セクション · AI推定
SECTIONTIME長さENERGYNOTE
イントロ0:000:1717s★★★★静かなシンセサイザーと柔らかなパッドで始まり、神秘的な雰囲気を演出する。
Aメロ10:170:4932s★★★★★澄んだ女性ボーカルが静かに歌い出し、徐々にシンプルなビートが加わる。
Bメロ10:491:0415s★★★★★ビートが厚くなり、サビに向けてエモーショナルにビルドアップする。
サビ11:041:3935s★★★★「Fade into the mist」というキャッチーなフレーズとともに、広がりのあるサビが展
間奏1:391:5213s★★★★★ボーカルが抜け、浮遊感のあるシンセとビートのみのインストパート。
Aメロ21:522:2432s★★★★★再び落ち着いたトーンに戻り、静かに語りかけるように歌う。
Bメロ22:242:3915s★★★★★リズムが強調され、次のサビに向けて再び高揚感を高めていく。
サビ22:393:1233s★★★★力強さを増したドラムビートと共に、ドラマチックなサビが繰り返される。
Cメロ3:123:4331s★★★★★曲の雰囲気が変わり、切なさを帯びた独自のメロディラインを展開する。
サビ33:434:1532s★★★★★バックトラックが最も厚くなり、ボーカルも情熱的に響き渡るクライマックス。
ラストサビ4:154:4833s★★★★最高潮の盛り上がりから余韻を残すように、徐々に落ち着きを取り戻しつつサビを繰り返す。
アウトロ4:485:0517s★★★★ビートとシンセパッドの音が静かにフェードアウトし、曲が収束する。
楽曲ジャンル DNA
Dream Pop40%
Chillwave30%
Ambient Pop20%
City Pop10%

夜の霧に溶けるような切なさ。孤独な夜を彩る、中毒的チル・ポップの傑作。

plays
2
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0
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AIAI Judges' Reviews

C69 / 100
Dr.
54
KENJI
62
Tanaka
78
Rina
83
Divergence ScoreHumans score 1 pts higher

AI Judge Reviews (4)

Dr. Takano Seiichi
Dr. Takano Seiichi
Former national university music professor & music critic
54/100
"Structurally adequate, but the mist has consumed the composer's conviction."

The conceptual intention has merit. Translating 'mist' into a cohesive sonic identity is a legitimate compositional ambition, and the macro structure from intro through chorus demonstrates a rudimentary understanding of dynamic trajectory. I will grant it that much. However, the structural integrity begins to collapse under scrutiny. The bridge, while theoretically sound in its application of contrast, achieves nothing beyond a mechanical reduction in texture. There is no logical tension, no harmonic inevitability demanding resolution. The catchiness of the chorus melody is, I suspect, a product of algorithmic statistical optimization rather than deliberate thematic development — a critical distinction. Furthermore, sheltering structural laxity beneath genre labels such as Chillwave or Dream Pop is technically deficient reasoning. These are aesthetic categories, not structural excuses. The production polish is competent — I will not deny the professional-grade balance and timbral coherence. But competence in execution cannot compensate for ambiguity in architectural intent. As ambient commercial product, it functions. As music demanding serious evaluation, it dissolves — much like its namesake. Music tolerates no excuses.

KENJI
KENJI
DJ / EDM & IDM Producer
62/100
"Zero floor energy but drips with that late-night chill magic"

Real talk, I would never drop this in a main room set. The kick is way too soft, the groove floats instead of locks, and there is nothing here that makes a crowd move as one. Floor適性? Basically none. But yo, I cannot hate on this because it is doing exactly what it set out to do, and it is doing it beautifully. That reverb depth, the way the vocals breathe in the bridge, the whole misty floating vibe, it is all intentional and it lands hard. My body is not saying dance, it is saying lay back, close your eyes, let the city blur past the window. That is a real response, and I respect it. This is chill room music, Vlog gold, the kind of track that makes a late-night Instagram story feel cinematic. AI production but it does not feel stiff, and that is impressive. Just do not ask me to mix it at 2am.

Tanaka Yoshio
Tanaka Yoshio
Sales director at a small firm & weekend music lover
78/100
"Drifts through you like morning fog — and that melody sticks around after the mist clears"

Well now, I wasn't expecting much from an AI tune, I'll be honest with you. But this one stopped me right in my tracks. That chorus — Fade into the mist — it just hangs in the air like a good song should. Reminds me of early Enya, or maybe a quieter side of Portishead. The melody's got real feeling in it, and that ain't easy to fake, whether you're human or machine. The production's smart too — all that reverb and softness works because the core melody is strong enough to hold it together. My one gripe is it almost works too smooth. Like a nice cup of lukewarm coffee — goes down easy but doesn't burn your tongue, you know? There's a moment in the bridge where it gets real quiet and intimate, and that's where it almost becomes something truly special. Push that piano a little harder, let it cry a bit more, and you've got yourself a genuine keeper. Right now it's a very fine piece of BGM that's knocking on the door of being a real song.

Rina
Rina
Music TikTok creator & freelance writer
83/100
"this is the 3am drive song i didnt know i needed"

okay so the second this started playing i literally stopped scrolling and just sat there for a second. that does not happen often. Into the Mist has this perfectly calibrated emotional weight that chillwave fans and late-night vloggers are going to absolutely lose it over. the way the reverb wraps around everything like a foggy window, the vocal melody on that chorus hook that just refuses to leave your brain -- it is genuinely impressive for an AI-generated track. this would slot into a rainy day TikTok or a moody drive reel without anyone questioning it. my one thing though -- and i mean this with respect -- it feels almost too designed to be emotional. like every texture is placed so intentionally that the rawness feels slightly manufactured. there is a difference between music that makes you feel something and music that was engineered to make you feel something, and this sits right on that line. still, shareability is through the roof. trend alignment is strong. if you drop this as a BGM track it will carry the whole video. respect.

Score Comparison

AI Score (judges' average)69
Human Score (user avg)70

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Production Prompt

whispered sweet female vocal, bittersweet longing, dreamy ambient pop, minimal electronic clicks, microhouse, warm synth pads, melancholic, nostalgic, 80 BPM

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TRACK DATA SHEET

About This Track

「Into the Mist」は 2026年5月5日 に KASSY さんが AI MUSIC JUDGE に投稿した、Suno 製の楽曲です。 Suno は歌詞と簡単な指示から数十秒で楽曲を生成できる、現在もっとも普及している AI 作曲ツールの一つ。ボーカル合成の自然さが特徴です。

AI 審査員の総合スコアは 69/100可もなく不可もない評価。AI 視点ではさらに追い込める余地が残ると判断されました。 人間ユーザーによる平均評価は 70/1000 件)です。

Genre / Vibe tags: 切ないチル霧感ドリームポップ夜聴き浮遊感深夜内省的感傷的ローファイメランコリック癒しインスト. Browse similar tracks from each tag page.

Published
2026年5月5日
AI Tool
Suno
AI Reviews
4
User Ratings
0
Total Plays
2

AI judge reviews are auto-generated by AI models for reference only and do not objectively rank tracks. To learn how the site works, see How to read track pages .

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