fix(space): 盲航刺耳音效重制 + 状态/反馈盲区修复（玩家代理取证迭代）
- F1 程序合成重制5件刺耳音效（alarm≥3kHz能量82%→0，全件≤-3.4dBFS）+新增挥空音 - F2 P0：撞击方位语音防顶断补播（保护期结束死亡窗 hit_* 零毫秒被杀根因） - F3 保护期教学句7连互截去重；F4 新句 protect_soon 50s预告；F5 boost_not_ready 冷却拒绝回音；F6 激活补CONFIRM震；F7 whiff - 验证：playtest 172/172 + guide 122 + 终检全绿 + 14游戏回归零回退 + live两轮复跑坐实 - 档案 research/space-polish/round1-2（取证+修复证据）；04号文档追加R5修订记录
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""《盲航》程序合成音效重制（space polish R5，research/space-polish/round1 取证结论）。
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重制 5 件 + 新增 1 件（落 web/space/audio/sfx/）：
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alarm 全程最高暴露（每颗陨石两遍）→ 低谐波电子双音，5kHz 以上近零能量
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dodge 高频嘶声（-2.30dBFS / 63.6%≥3kHz）→ 中频气声扫频
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shield_block 保护期每 4s 一响 + 真峰值超标 → 柔和电涟波
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boost 真峰值 -2.70dBFS / 53%≥3kHz → 低频引擎冲刺
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shield 真峰值 -2.90dBFS 超标 → 上升 shimmer 重制
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whiff 新增：挥空/滑错方向的轻反馈（归因真话：无效手势有回音）
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one-shot QC（同 gen_cipher_syn.py 标准）：去直流 + 首尾 8ms cos² + 真峰值 ≤-3dBFS
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（编码后 ebur128 实测，MDCT 过冲超限自动降档重编）。
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用法：.venv-tts/bin/python tools/gen_space_syn.py
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"""
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import os
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import subprocess
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import sys
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import numpy as np
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import soundfile as sf
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ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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FFMPEG = os.path.join(ROOT, "tools", "bin", "ffmpeg")
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OUT = os.path.join(ROOT, "tools", "gen_space_syn_wav")
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DST = os.path.join(ROOT, "web", "space", "audio", "sfx")
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os.makedirs(OUT, exist_ok=True)
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os.makedirs(DST, exist_ok=True)
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sr = 44100
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ONE_SHOT_TP_CEIL = -3.0
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SAMPLE_PEAK = 0.66
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FADE_N = int(sr * 0.008)
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_rng = np.random.default_rng(20260914)
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def dc(y):
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return y - np.mean(y)
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def fade(y):
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w = np.sin(np.linspace(0, np.pi / 2, FADE_N)) ** 2
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y = y.copy()
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y[:FADE_N] *= w
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y[-FADE_N:] *= w[::-1]
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return y
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def norm(y, peak=SAMPLE_PEAK):
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m = np.max(np.abs(y))
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return (y / m * peak) if m > 0 else y
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def stereo(y):
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return np.stack([y, y], axis=1).astype(np.float32)
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def bp_noise(n, lo, hi):
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x = _rng.standard_normal(n)
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X = np.fft.rfft(x)
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freqs = np.fft.rfftfreq(n, 1 / sr)
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mask = ((freqs >= lo) & (freqs <= hi)).astype(float)
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y = np.fft.irfft(X * mask, n)
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return y / (np.max(np.abs(y)) + 1e-9)
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def sweep_noise(n, f_lo, f_hi, bw=900):
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"""质心随时间线性扫动的带通噪声（气声/扫频体感，无离散高频谐波）。"""
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x = _rng.standard_normal(n)
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X = np.fft.rfft(x)
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freqs = np.fft.rfftfreq(n, 1 / sr)
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t = np.arange(n) / sr
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center = f_lo + (f_hi - f_lo) * np.minimum(t / (n / sr), 1.0)
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# 时变带通：按块扫中心频率
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y = np.zeros(n)
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blk = int(sr * 0.02)
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for s in range(0, n, blk):
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e = min(n, s + blk)
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c = center[s:e].mean()
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m = ((freqs >= max(20, c - bw)) & (freqs <= c + bw)).astype(float)
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seg = np.fft.irfft(X * m, n)
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y[s:e] = seg[s:e]
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m = np.max(np.abs(y))
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return y / m if m > 0 else y
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def tone(n, f, decay=0.0, harm=()):
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t = np.arange(n) / sr
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y = np.sin(2 * np.pi * f * t)
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for h, g in harm:
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y += g * np.sin(2 * np.pi * f * h * t)
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if decay:
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y *= np.exp(-t * decay)
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return y
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# ---------------------------------------------------------------- one-shot 渲染
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def r_alarm(): # 1.0s 电子双音警报：700/560Hz 圆角短促 beep×2，谐波收敛 <2.5kHz
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n = int(sr * 1.0)
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y = np.zeros(n)
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for st, f in [(0.05, 700), (0.42, 560)]:
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L = int(sr * 0.20)
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tt = np.arange(L) / sr
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beep = np.sin(2 * np.pi * f * tt) + 0.22 * np.sin(2 * np.pi * f * 2 * tt) \
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+ 0.06 * np.sin(2 * np.pi * f * 3 * tt)
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beep *= (1 - np.exp(-tt * 250)) * np.exp(-np.maximum(tt - 0.12, 0) * 60)
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beep += bp_noise(L, 300, 2200) * np.exp(-tt * 90) * 0.10 # 电子毛边，低带
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y[int(st * sr):int(st * sr) + L] += beep
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return dc(y)
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def r_dodge(): # 1.2s 闪避成功：500→2100Hz 气声扫 + 一记软木鱼中频确认
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n = int(sr * 1.2)
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t = np.arange(n) / sr
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y = sweep_noise(n, 500, 2100, bw=1000)
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env = (1 - np.exp(-t * 120)) * np.exp(-np.maximum(t - 0.55, 0) * 7)
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y = y * env * 0.8
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L = int(sr * 0.16)
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tt = np.arange(L) / sr
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knock = np.sin(2 * np.pi * 740 * tt) * np.exp(-tt * 45)
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knock += bp_noise(L, 400, 1800) * np.exp(-tt * 70) * 0.5
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y[int(0.06 * sr):int(0.06 * sr) + L] += knock * 0.5
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return dc(y)
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def r_shield_block(): # 1.5s 护盾吸收：250-2300 电涟噪声衰减 + 150Hz 低频顿 + 弱 520Hz 余振
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n = int(sr * 1.5)
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t = np.arange(n) / sr
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rip = bp_noise(n, 250, 2300) * np.exp(-t * 4.5)
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rip *= 1 + 0.5 * np.sin(2 * np.pi * 11 * t) * np.exp(-t * 3) # 涟波调制
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th = np.sin(2 * np.pi * 150 * t) * np.exp(-t * 18) * 0.6
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ring = np.sin(2 * np.pi * 520 * t) * np.exp(-t * 10) * 0.18
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y = (rip * 0.7 + th + ring) * (1 - np.exp(-t * 300))
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return dc(y)
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def r_boost(): # 1.8s 引擎冲刺：55-90Hz 低哼 + 150-850Hz 推进噪声渐强，暗频谱
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n = int(sr * 1.8)
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t = np.arange(n) / sr
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rum = np.sin(2 * np.pi * 62 * t) + 0.5 * np.sin(2 * np.pi * 93 * t)
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rum *= (1 - np.exp(-t * 30)) * np.exp(-np.maximum(t - 1.2, 0) * 4)
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thrust = sweep_noise(n, 180, 850, bw=500)
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env = np.minimum(1, t / 0.5) * np.exp(-np.maximum(t - 1.1, 0) * 5)
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growl = bp_noise(n, 100, 500) * 0.5 * env
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y = rum * 0.55 + (thrust * 0.55 + growl) * env
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return dc(y)
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def r_shield(): # 1.5s 护盾展开：320→980Hz 正弦爬升 + 轻 shimmer 噪声，谐波 <4kHz
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n = int(sr * 1.5)
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t = np.arange(n) / sr
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f0 = 320 + (980 - 320) * np.minimum(t / 1.0, 1.0) ** 1.4
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ph = 2 * np.pi * np.cumsum(f0) / sr
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y = np.sin(ph) * 0.7 + 0.15 * np.sin(2 * ph)
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shim = bp_noise(n, 900, 3600) * 0.10 * np.minimum(1, t / 0.3)
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env = (1 - np.exp(-t * 60)) * np.exp(-np.maximum(t - 1.05, 0) * 8)
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return dc((y + shim) * env)
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def r_whiff(): # 0.4s 挥空轻反馈：150-900Hz 低带噪声叹 + 200Hz 软顿（设计音量低，game 层 0.55）
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n = int(sr * 0.4)
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t = np.arange(n) / sr
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y = bp_noise(n, 150, 900) * np.exp(-t * 14) * 0.7
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y += np.sin(2 * np.pi * 200 * t) * np.exp(-t * 30) * 0.5
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return dc(y * (1 - np.exp(-t * 400)))
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ONE_SHOTS = {
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"alarm": r_alarm,
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"dodge": r_dodge,
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"shield_block": r_shield_block,
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"boost": r_boost,
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"shield": r_shield,
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"whiff": r_whiff,
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}
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# ---------------------------------------------------------------- 编码 + 真峰值校验
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def encode(wav_path, base):
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for args, ext in [(["-c:a", "libvorbis", "-q:a", "3"], ".ogg"),
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(["-c:a", "aac", "-b:a", "128k"], ".m4a")]:
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subprocess.run([FFMPEG, "-y", "-v", "error", "-i", wav_path,
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"-ar", "44100", *args, base + ext], check=True)
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def true_peak_db(path):
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r = subprocess.run([FFMPEG, "-i", path, "-af", "ebur128=peak=true", "-f", "null", "-"],
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capture_output=True, text=True)
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peaks = [float(line.split("Peak:")[1].strip().split()[0])
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for line in r.stderr.splitlines() if "Peak:" in line and "dBFS" in line]
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return max(peaks) if peaks else float("nan")
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def check_tp(base):
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return max(true_peak_db(base + ".ogg"), true_peak_db(base + ".m4a"))
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def spectral_report(base):
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"""编码后解码回读：≥3kHz/≥5kHz 能量占比（刺耳复测口径，与取证轮一致）。"""
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r = subprocess.run([FFMPEG, "-v", "error", "-i", base + ".ogg", "-f", "f32le", "-ac", "1", "-ar", "44100", "-"],
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capture_output=True)
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y = np.frombuffer(r.stdout, dtype=np.float32)
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Y = np.abs(np.fft.rfft(y * np.hanning(len(y))))
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fr = np.fft.rfftfreq(len(y), 1 / sr)
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e = Y ** 2
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tot = e.sum() + 1e-12
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return e[fr >= 3000].sum() / tot * 100, e[fr >= 5000].sum() / tot * 100, fr[np.argmax(Y)] / 1000
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def main():
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report = []
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problems = []
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for fid, fn in ONE_SHOTS.items():
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wav_path = os.path.join(OUT, fid + ".wav")
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base = os.path.join(DST, fid)
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y = fade(norm(dc(fn())))
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sf.write(wav_path, stereo(y), sr)
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encode(wav_path, base)
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tp = check_tp(base)
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if tp > ONE_SHOT_TP_CEIL:
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gain = 10 ** ((ONE_SHOT_TP_CEIL - tp) / 20) * 0.98
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sf.write(wav_path, stereo(y * gain), sr)
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encode(wav_path, base)
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tp2 = check_tp(base)
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report.append((fid, len(y) / sr, tp, f"降 {20 * np.log10(gain):.1f}dB 重编 -> {tp2:.2f}"))
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tp = tp2
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else:
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report.append((fid, len(y) / sr, tp, ""))
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if tp > ONE_SHOT_TP_CEIL:
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problems.append(f"{fid}: 真峰值 {tp:.2f} dBFS 仍超 {ONE_SHOT_TP_CEIL}")
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print(f"{'id':14s} {'dur(s)':>7s} {'TP(dBFS)':>9s} {'%>3k':>7s} {'%>5k':>7s} {'peakkHz':>8s} note")
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for fid, dur, tp, note in report:
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e3, e5, pk = spectral_report(os.path.join(DST, fid))
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print(f"{fid:14s} {dur:7.2f} {tp:9.2f} {e3:7.1f} {e5:7.1f} {pk:8.2f} {note}")
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if e5 > 15.0:
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problems.append(f"{fid}: 5kHz+ 能量 {e5:.1f}% 仍偏高")
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if problems:
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print("PROBLEMS:")
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for p in problems:
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print(" ", p)
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return 1
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print(f"ALL OK: {len(ONE_SHOTS)} one-shot -> {DST}")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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