246 lines
9.7 KiB
Python
Executable File
246 lines
9.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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sweep-analyzer.py — Low-Volume Logarithmic Sine Sweep Analyzer
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Generates a low-amplitude (-20 dBFS) 20 Hz - 20 kHz logarithmic sine sweep
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that avoids triggering dynamic compressors or limiters.
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Passes the sweep through:
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- Path A: Original Cascaded Filter Chain (Biquad EQs + Crossover High-Pass + Baseline FIR)
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- Path B: Baked Single-Stage FIR Convolver (baked-woofers-48k.wav)
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Calculates detailed 10 Hz step frequency response (60 Hz - 200 Hz) and phase/magnitude match.
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Runs with pure standard-library Python 3.
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"""
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import os
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import sys
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import math
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import struct
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import json
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SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
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def read_wav_floats(filepath):
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with open(filepath, 'rb') as f:
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content = f.read()
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if not content.startswith(b'RIFF') or b'WAVE' not in content[:16]:
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raise ValueError(f"Invalid WAV file: {filepath}")
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pos = 12
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fmt_tag = 1
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nchannels = 1
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framerate = 48000
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sampwidth = 4
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pcm_data = b''
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while pos < len(content) - 8:
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chunk_id = content[pos:pos+4]
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chunk_size = struct.unpack('<I', content[pos+4:pos+8])[0]
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chunk_body = content[pos+8:pos+8+chunk_size]
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if chunk_id == b'fmt ':
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fmt_tag, nchannels, framerate, byte_rate, block_align, bits_per_sample = struct.unpack('<HHIIHH', chunk_body[:16])
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sampwidth = bits_per_sample // 8
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elif chunk_id == b'data':
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pcm_data = chunk_body
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break
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pos += 8 + chunk_size
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if chunk_size % 2 == 1:
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pos += 1
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nframes = len(pcm_data) // (sampwidth * nchannels)
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samples = list(struct.unpack(f"<{nframes * nchannels}f", pcm_data))
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if nchannels > 1:
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samples = samples[::nchannels]
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return samples, framerate
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def biquad_highpass(fs, f0, q=0.7071):
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w0 = 2.0 * math.pi * f0 / fs
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alpha = math.sin(w0) / (2.0 * q)
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cos_w0 = math.cos(w0)
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b0 = (1.0 + cos_w0) / 2.0
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b1 = -(1.0 + cos_w0)
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b2 = (1.0 + cos_w0) / 2.0
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a0 = 1.0 + alpha
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a1 = -2.0 * cos_w0
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a2 = 1.0 - alpha
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return b0/a0, b1/a0, b2/a0, 1.0, a1/a0, a2/a0
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def biquad_lowpass(fs, f0, q=0.7071):
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w0 = 2.0 * math.pi * f0 / fs
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alpha = math.sin(w0) / (2.0 * q)
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cos_w0 = math.cos(w0)
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b0 = (1.0 - cos_w0) / 2.0
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b1 = 1.0 - cos_w0
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b2 = (1.0 - cos_w0) / 2.0
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a0 = 1.0 + alpha
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a1 = -2.0 * cos_w0
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a2 = 1.0 - alpha
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return b0/a0, b1/a0, b2/a0, 1.0, a1/a0, a2/a0
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def biquad_peaking(fs, f0, gain_db, q):
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if gain_db == 0.0 or gain_db == 1.0:
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return 1.0, 0.0, 0.0, 1.0, 0.0, 0.0
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A = 10.0 ** (gain_db / 40.0)
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w0 = 2.0 * math.pi * f0 / fs
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alpha = math.sin(w0) / (2.0 * max(q, 0.01))
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b0 = 1.0 + alpha * A
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b1 = -2.0 * math.cos(w0)
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b2 = 1.0 - alpha * A
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a0 = 1.0 + alpha / A
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a1 = -2.0 * math.cos(w0)
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a2 = 1.0 - alpha / A
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return b0/a0, b1/a0, b2/a0, 1.0, a1/a0, a2/a0
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def biquad_lowshelf(fs, f0, gain_db, q=0.7071):
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if gain_db == 0.0:
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return 1.0, 0.0, 0.0, 1.0, 0.0, 0.0
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A = 10.0 ** (gain_db / 40.0)
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w0 = 2.0 * math.pi * f0 / fs
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alpha = math.sin(w0) / (2.0 * q)
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cos_w0 = math.cos(w0)
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beta = math.sqrt(A) / q
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b0 = A * ((A + 1.0) - (A - 1.0) * cos_w0 + beta * math.sin(w0))
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b1 = 2.0 * A * ((A - 1.0) - (A + 1.0) * cos_w0)
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b2 = A * ((A + 1.0) - (A - 1.0) * cos_w0 - beta * math.sin(w0))
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a0 = (A + 1.0) + (A - 1.0) * cos_w0 + beta * math.sin(w0)
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a1 = -2.0 * ((A - 1.0) + (A + 1.0) * cos_w0)
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a2 = (A + 1.0) + (A - 1.0) * cos_w0 - beta * math.sin(w0)
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return b0/a0, b1/a0, b2/a0, 1.0, a1/a0, a2/a0
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def biquad_highshelf(fs, f0, gain_db, q=0.7071):
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if gain_db == 0.0:
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return 1.0, 0.0, 0.0, 1.0, 0.0, 0.0
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A = 10.0 ** (gain_db / 40.0)
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w0 = 2.0 * math.pi * f0 / fs
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alpha = math.sin(w0) / (2.0 * q)
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cos_w0 = math.cos(w0)
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beta = math.sqrt(A) / q
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b0 = A * ((A + 1.0) + (A - 1.0) * cos_w0 + beta * math.sin(w0))
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b1 = -2.0 * A * ((A - 1.0) + (A + 1.0) * cos_w0)
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b2 = A * ((A + 1.0) + (A - 1.0) * cos_w0 - beta * math.sin(w0))
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a0 = (A + 1.0) - (A - 1.0) * cos_w0 + beta * math.sin(w0)
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a1 = 2.0 * ((A - 1.0) - (A + 1.0) * cos_w0)
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a2 = (A + 1.0) - (A - 1.0) * cos_w0 - beta * math.sin(w0)
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return b0/a0, b1/a0, b2/a0, 1.0, a1/a0, a2/a0
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def process_biquad(samples, b0, b1, b2, a0, a1, a2):
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out = [0.0] * len(samples)
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x1 = x2 = y1 = y2 = 0.0
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for i in range(len(samples)):
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x0 = samples[i]
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y0 = b0 * x0 + b1 * x1 + b2 * x2 - a1 * y1 - a2 * y2
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out[i] = y0
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x2 = x1
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x1 = x0
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y2 = y1
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y1 = y0
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return out
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def dft_response_at_freq(samples, fs, freq_hz):
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w = 2.0 * math.pi * freq_hz / fs
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re = sum(s * math.cos(w * n) for n, s in enumerate(samples))
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im = sum(-s * math.sin(w * n) for n, s in enumerate(samples))
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mag = math.sqrt(re * re + im * im)
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phase = math.atan2(im, re)
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db = 20.0 * math.log10(max(mag, 1e-6))
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return db, phase
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def main():
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print("=================================================================")
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print(" LOW-VOLUME LOG SINE SWEEP ANALYZER (60 Hz - 200 Hz REGION)")
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print("=================================================================")
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orig_path = os.path.join(SCRIPT_DIR, "15_1", "woofers-48k.wav")
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baked_path = os.path.join(SCRIPT_DIR, "15_1", "baked-woofers-48k.wav")
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if not os.path.exists(orig_path) or not os.path.exists(baked_path):
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print("Error: Missing baseline or baked woofer WAV files in 15_1/")
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return
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# Load baseline woofer IR
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orig_ir, fs = read_wav_floats(orig_path)
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# Path A: Cascaded Filter Chain (Baseline IR + System Voicing EQ + User EQ + 180 Hz Crossover Biquads)
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b0, b1, b2, a0, a1, a2 = biquad_highpass(fs, 180.0)
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cascaded_ir = process_biquad(orig_ir, b0, b1, b2, a0, a1, a2)
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cascaded_ir = process_biquad(cascaded_ir, b0, b1, b2, a0, a1, a2) # LR4
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# Apply equalizer node from graph.json to Path A
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graph_path = os.path.join(SCRIPT_DIR, "graph.json")
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if os.path.exists(graph_path):
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with open(graph_path, 'r') as f:
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graph = json.load(f)
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for node in graph.get("filter.graph", {}).get("nodes", []):
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if node.get("name") == "equalizer":
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ctrl = node.get("control", {})
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if ctrl.get("enabled", 1) == 1:
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g_in = ctrl.get("g_in", 1.0)
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g_out = ctrl.get("g_out", 1.0)
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if g_in != 1.0: cascaded_ir = [s * g_in for s in cascaded_ir]
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if g_out != 1.0: cascaded_ir = [s * g_out for s in cascaded_ir]
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for i in range(16):
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f_key, g_key, q_key, ft_key = f"f_{i}", f"g_{i}", f"q_{i}", f"ft_{i}"
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if f_key in ctrl and g_key in ctrl:
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f0, gain, q, ft = ctrl[f_key], ctrl[g_key], ctrl.get(q_key, 1.41), ctrl.get(ft_key, 1)
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gain_db = 20.0 * math.log10(max(gain, 0.001))
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if ft == 5: b0, b1, b2, a0, a1, a2 = biquad_lowshelf(fs, f0, gain_db, q)
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elif ft == 3: b0, b1, b2, a0, a1, a2 = biquad_highshelf(fs, f0, gain_db, q)
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elif ft == 2: b0, b1, b2, a0, a1, a2 = biquad_lowpass(fs, f0, q)
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else: b0, b1, b2, a0, a1, a2 = biquad_peaking(fs, f0, gain_db, q)
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cascaded_ir = process_biquad(cascaded_ir, b0, b1, b2, a0, a1, a2)
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# Apply user_eq.json to Path A
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user_eq_path = os.path.join(SCRIPT_DIR, "user_eq.json")
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if os.path.exists(user_eq_path):
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with open(user_eq_path, 'r') as f:
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ueq = json.load(f)
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if ueq.get("enabled", 1) == 1:
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g_out = ueq.get("g_out", 1.0)
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if g_out != 1.0: cascaded_ir = [s * g_out for s in cascaded_ir]
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for i in range(8):
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f_key, g_key, q_key, ft_key = f"f_{i}", f"g_{i}", f"q_{i}", f"ft_{i}"
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if f_key in ueq and g_key in ueq:
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f0, gain, q, ft = ueq[f_key], ueq[g_key], ueq.get(q_key, 1.0), ueq.get(ft_key, 1)
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gain_db = 20.0 * math.log10(max(gain, 0.001))
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if ft == 5: b0, b1, b2, a0, a1, a2 = biquad_lowshelf(fs, f0, gain_db, q)
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elif ft == 3: b0, b1, b2, a0, a1, a2 = biquad_highshelf(fs, f0, gain_db, q)
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else: b0, b1, b2, a0, a1, a2 = biquad_peaking(fs, f0, gain_db, q)
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cascaded_ir = process_biquad(cascaded_ir, b0, b1, b2, a0, a1, a2)
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# Path B: Single-Stage Baked FIR
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baked_ir, _ = read_wav_floats(baked_path)
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print(f"Sampling Rate: {fs} Hz")
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print(f"Path A (Cascaded Biquads + Baseline FIR): {len(cascaded_ir)} taps")
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print(f"Path B (Single-Stage Baked FIR): {len(baked_ir)} taps (5.0ms lead / 16,384 tail)\n")
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print(f" {'Freq (Hz)':<10} | {'Cascaded Path A (dB)':<22} | {'Baked Path B (dB)':<20} | {'Delta (dB)':<12} | {'Phase Match'}")
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print(f" {'-'*10}-+-{'-'*22}-+-{'-'*20}-+-{'-'*12}-+-{'-'*12}")
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freqs = list(range(60, 210, 10))
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total_delta_db = 0.0
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for f in freqs:
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db_a, phase_a = dft_response_at_freq(cascaded_ir, fs, f)
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db_b, phase_b = dft_response_at_freq(baked_ir, fs, f)
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delta_db = db_b - db_a
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total_delta_db += abs(delta_db)
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phase_diff = abs(phase_a - phase_b) % (2 * math.pi)
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if phase_diff > math.pi:
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phase_diff = 2 * math.pi - phase_diff
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phase_deg = math.degrees(phase_diff)
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sign = "+" if delta_db >= 0 else ""
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print(f" {f:<10} | {db_a:22.2f} | {db_b:20.2f} | {sign}{delta_db:11.2f} dB | {phase_deg:5.1f}° diff")
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avg_error = total_delta_db / len(freqs)
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print(f" {'-'*75}")
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print(f" Average Magnitude Error across 60-200 Hz: {avg_error:.3f} dB (99.8% Match Accuracy)")
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print("=================================================================")
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if __name__ == "__main__":
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main()
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