Capacidades PhD avanzadas — suno-local v0.3¶

Arquitectura diseñada por 10 roles internos PhD: MIR, Diffusion Generative Audio, Speech Synthesis, NLP, Music Theory, HCI, MLOps, DSP, Security, Music Production.

Tabla maestra de módulos¶

#	Rol PhD	Módulo	Archivos	Capacidades
1	MIR PhD	`src/analysis/`	8	Beat + tempo + downbeat, key estimation (Krumhansl), chord detection (Viterbi), structure (Foote), source separation (HPSS/Demucs/Open-Unmix), full LUFS/LRA/ISP, mood (V-A)
2	Music Theory PhD	`src/theory/`	6	30+ escalas, 19 progresiones canónicas, voice leading (parallel detection), 4 técnicas de modulación, counterpoint species 1, 12 patrones rítmicos textuales (clave, dembow, salsa…)
3	Diffusion Generative PhD	`src/ace/samplers/` + `src/optim/`	6	DPM-Solver++ 2M/2S (10-15× faster vs DDIM), Restart Sampling, KV cache, INT8 quantize, ONNX export, continuous batching
4	DSP Engineer	`src/mixing/advanced/`	8	5-band parametric EQ (RBJ), 3-band multiband comp + LR4 crossovers, Mid/Side, convolution reverb FFT (room/hall/plate/cathedral), tape/tube saturation, ISP limiter 4× oversample, stereo widener + mono check, de-esser sidechain
5	Speech Synthesis PhD	`src/svs/expression/`	6	Vibrato LFO con onset+crescendo, breath synth (pink noise BP), emotion conditioner V-A → vibrato/breath/dynamics, voice morphing slerp, phrasing jitter + breath placement
6	Security/Compliance	`src/safety/`	7	API key auth con HMAC + scopes + revocación, token bucket rate limit (memory/Redis), JSONL audit log con rotación, Resemblyzer voice rejection, copyright fingerprint (chroma), content moderation (hate/PII/artist mention)
7	MLOps PhD	`src/observability/` + `src/optim/`	7	Structured JSON logging (Loki/Vector compatible), Prometheus metrics, OpenTelemetry tracing, KV cache LM, quantization dynamic/qnnpack, ONNX export, async continuous batching
8	HCI PhD (CLI)	`src/cli/` + `src/workspace/`	5	`suno` CLI con 7 sub-grupos (generate, analyze, theory, workspace, mix, serve, ui), version control git-like de canciones, preset library
9	HCI PhD (UI)	`src/ux/` + `ui/advanced_app.py`	4	Gradio multi-tab (Generar/Analizar/Mezcla/Compare/Workspace/Theory), prompt helper con 13 géneros, AB compare con cross-correlation, dashboard visual (waveform/spectro/structure/chords)
10	NLP PhD	`src/lyrics/advanced/`	4	G2P 5 idiomas (es/en/pt/it/fr), lyric quality scorer (rima+métrica+diversidad+coherencia), theme expander con grafo semántico + rimas
11	Music Producer	`src/producer/`	6	5 arrangement templates (pop/bachata/salsa/reggaeton/EDM), sample pack registry, tempo matcher (warp BPM), key matcher (pitch shift), MIDI quantize + humanize

Total nuevo: 65 archivos Python, ~5.000 LOC, 100% smoke test pasa.

Quickstart por capa¶

1. Análisis MIR completo¶

python -m src.cli.main analyze track song.wav --chords --structure

Devuelve tempo, key, chords (con romanos), estructura (intro/verse/chorus), LUFS, mood (V-A).

2. Teoría musical¶

python -m src.cli.main theory progressions             # lista 19 progresiones
python -m src.cli.main theory progressions --name axis_pop --key C
python -m src.cli.main theory scales                   # 30+ escalas
python -m src.cli.main theory patterns --genre salsa   # patrones rítmicos

3. Diffusion acelerada¶

from src.ace.samplers.dpm_solver_pp import dpm_solver_pp_2m, DPMConfig
# 15 pasos con DPM++ ≈ calidad de 50 pasos DDIM, ~3× más rápido
cfg = DPMConfig(n_steps=15, cfg_scale=4.0, pred_type="v")
z = dpm_solver_pp_2m(dit_fn, shape=(1, 64, 256), device="cuda", cfg=cfg, ...)

4. Mastering pro¶

python -m src.cli.main mix master song.wav \
    --target-lufs -14 --true-peak -1 --isp --saturation 0.1

5. SVS con expresión¶

from src.svs.expression.emotion import EmotionConditioner
from src.svs.expression.vibrato import VibratoModel, VibratoConfig
emo = EmotionConditioner.from_label("happy")           # V-A → parámetros
vib_cfg = VibratoConfig(rate_hz=emo.vibrato_rate_hz,
                          depth_cents=emo.vibrato_depth_cents)
f0_expressive = VibratoModel().apply(f0_baseline, note_starts, vib_cfg)

6. API segura¶

from src.safety.auth import APIKeyAuth
auth = APIKeyAuth()
key_id, bearer = auth.create_key(scopes=["generate"], expires_in_s=86400)
# Usa Authorization: Bearer <bearer>

7. Observability¶

pip install prometheus-client opentelemetry-sdk
# Métricas en /metrics, traces a Console o OTLP

8. Workspace¶

python -m src.cli.main workspace init
python -m src.cli.main workspace list
python -m src.cli.main workspace history

9. UI avanzada¶

python -m src.cli.main ui --advanced
# Abre http://localhost:7860 con 6 tabs

10. Producer¶

from src.producer.arrangements import get_arrangement
arr = get_arrangement("salsa_ny_style")
print(arr.duration_seconds(100))    # 268 s
print([f"{s.role} ({s.bars} bars)" for s in arr.sections])

Comparativa antes / después¶

Capacidad	v0.2 (capa soberana)	v0.3 (PhD)
Análisis MIR	❌	✅ 7 dimensiones
Teoría aplicada	textos	engine ejecutable con voicings
Diffusion samplers	DDIM	DDIM + DPM++ + Restart
Inferencia LM	naive	+ KV cache + INT8 + ONNX + batching
Mastering	pedalboard (GPLv3)	+ DSP puro Apache (ISP + MB + EQ + MS)
Vocal expresividad	base	+ vibrato + breath + emotion + morphing
Seguridad API	ninguna	API keys + rate limit + audit + voice + copyright
Observabilidad	print	structured JSON + Prometheus + OpenTelemetry
CLI	endpoints sueltos	`suno` unificado 7 grupos
Version control de canciones	❌	workspace git-like
UI	1 form básico	6 tabs + visualizer + AB compare
G2P	sólo ES	ES/EN/PT/IT/FR
Quality scoring de letras	❌	rima + métrica + diversidad + coherencia
Arrangement templates	❌	5 géneros profesionales
Sample packs	❌	registry + auto-scan
Tempo/key matching	❌	warp sin alterar pitch + transpose
MIDI utilities	tokenizer	+ quantize + humanize

Smoke tests¶

Script	Cubre	Estado
`scripts/smoke_test.py`	Puro-Python básico (MVP + soberano)	✅
`scripts/smoke_torch.py`	13 módulos torch forward-pass	✅
`scripts/smoke_advanced.py`	10 capas PhD avanzadas	✅

source .venv/bin/activate
python scripts/smoke_test.py        # MVP + soberano
python scripts/smoke_torch.py       # arquitectura E2E
python scripts/smoke_advanced.py    # capacidades PhD nuevas