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refactor: enhance FIR baking process and simplify graph generation with biquad extraction

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This commit is contained in:
mynameisdeleted
2026-09-01 13:57:57 -04:00
parent fe6096915b
commit 135b919eab
3 changed files with 630 additions and 49 deletions
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31
apply.sh
View File

@@ -33,14 +33,6 @@ done
have() { command -v "$1" >/dev/null 2>&1; }
die() { echo "Error: $*" >&2; exit 1; }
if [ "$SIMPLE" -eq 1 ]; then
echo "==> Baking static DSP stages into single-stage FIR files..."
python3 "$SCRIPT_DIR/bake-graph.py" || die "bake-graph.py failed"
GRAPH_SRC="$SCRIPT_DIR/graph_simple.json"
echo "==> Installing baked FIR files -> /usr/share/t2-linux-audio/15_1/"
sudo cp "$SCRIPT_DIR/15_1/baked-"*.wav "/usr/share/t2-linux-audio/15_1/" 2>/dev/null || true
fi
# --- json validation helper -------------------------------------------
json_ok() {
have python3 && { python3 -c 'import json, sys; json.load(open(sys.argv[1]))' "$1" 2>/dev/null && return 0; return 1; }
@@ -53,7 +45,8 @@ json_ok "$GRAPH_SRC"; rc=$?
[ "$rc" -eq 2 ] && echo "warn: no python3/jq - skipping JSON validation"
[ "$rc" -eq 0 ] && echo "ok: graph.json is valid JSON"
# --- build the effective graph -> ~/.audiograph.json --------------------
# --- build the effective graph ------------------------------------------
MERGED_SRC="$SCRIPT_DIR/graph_merged.json"
if [ -f "$OVERRIDE" ]; then
have jq || die "$OVERRIDE exists but jq is not installed"
jq -e . "$OVERRIDE" >/dev/null 2>&1 || die "$OVERRIDE is not valid JSON"
@@ -61,13 +54,25 @@ if [ -f "$OVERRIDE" ]; then
|| die "$GRAPH_SRC has no node named user_eq to override"
jq --slurpfile ov "$OVERRIDE" \
'(.["filter.graph"].nodes[] | select(.name == "user_eq") | .control) = $ov[0]' \
"$GRAPH_SRC" > "$MERGED" || die "jq merge failed"
echo "ok: merged user_eq.json -> $MERGED"
"$GRAPH_SRC" > "$MERGED_SRC" || die "jq merge failed"
echo "ok: merged user_eq.json -> $MERGED_SRC"
else
cp "$GRAPH_SRC" "$MERGED"
echo "ok: no user_eq.json - graph as-is -> $MERGED"
cp "$GRAPH_SRC" "$MERGED_SRC"
echo "ok: no user_eq.json - graph as-is -> $MERGED_SRC"
fi
if [ "$SIMPLE" -eq 1 ]; then
echo "==> Baking static DSP stages into single-stage FIR files..."
python3 "$SCRIPT_DIR/bake-graph.py" "$MERGED_SRC" || die "bake-graph.py failed"
GRAPH_SRC="$SCRIPT_DIR/graph_simple.json"
echo "==> Installing baked FIR files -> /usr/share/t2-linux-audio/15_1/"
sudo cp -f "$SCRIPT_DIR/laptop-configs/apple/mbp15_1/baked-"*.wav "/usr/share/t2-linux-audio/15_1/" 2>/dev/null || true
else
GRAPH_SRC="$MERGED_SRC"
fi
cp "$GRAPH_SRC" "$MERGED"
json_ok "$MERGED"; rc=$?
[ "$rc" -eq 1 ] && die "merged graph $MERGED is not valid JSON"

146
bake-graph.py
View File

@@ -272,24 +272,67 @@ def apply_pink_noise_target_filter(samples, fs=48000, f_ref=1000.0):
pink_samples = [ifft_vals[k].real / pad_len for k in range(N)]
return pink_samples
def bake_driver_ir(src_wav, dst_wav, is_woofer=False, driver_gain=1.0):
def extract_biquads_from_node(node, fs):
biquads = []
control = node.get("control", {})
if control.get("enabled", 1) == 0:
return biquads
for i in range(16):
f_key = f"f_{i}"
g_key = f"g_{i}"
q_key = f"q_{i}"
ft_key = f"ft_{i}"
if f_key not in control:
break
f = control[f_key]
g_lin = control.get(g_key, 1.0)
q = control.get(q_key, 0.7071)
ft = control.get(ft_key, 1)
if g_lin <= 0.0001:
gain_db = -80.0
else:
gain_db = 20.0 * math.log10(g_lin)
if abs(gain_db) < 0.001 or ft == 0:
continue
if ft == 1:
coeffs = biquad_peaking(fs, f, gain_db, q)
elif ft == 3:
coeffs = biquad_highshelf(fs, f, gain_db, q)
elif ft == 5:
coeffs = biquad_lowshelf(fs, f, gain_db, q)
else:
continue
biquads.append(coeffs)
return biquads
def bake_driver_ir(src_wav, dst_wav, is_woofer=False, driver_gain=1.0, biquads=[]):
if not os.path.exists(src_wav):
print(f"Warning: {src_wav} not found, skipping.")
return False
samples, fs = read_wav_floats(src_wav)
# 1. Optimize Latency (5ms Lead) + Extend Woofer/Tweeter Lopsided Tail Resolution
# 1. Convolve all static LTI biquad stages (User EQ + Voicing EQ) directly into driver IR
for coeffs in biquads:
b0, b1, b2, a0, a1, a2 = coeffs
samples = apply_biquad_to_samples(b0, b1, b2, a0, a1, a2, samples)
# 2. Optimize Latency (5ms Lead) + Extend Woofer/Tweeter Lopsided Tail Resolution
samples = optimize_fir_latency_and_tail(samples, fs=fs, is_woofer=is_woofer)
# 2. True-Peak Inter-Sample Peak (ISP) Guarding (-0.5 dBFS ceiling)
# 3. True-Peak Inter-Sample Peak (ISP) Guarding (-0.5 dBFS ceiling)
samples = apply_true_peak_guard(samples, max_allowed_dbfs=-0.5)
write_wav_floats(dst_wav, samples, fs)
print(f"==> Baked {os.path.basename(dst_wav)} ({fs} Hz, {len(samples)} taps, gain={driver_gain}x)")
print(f"==> Baked {os.path.basename(dst_wav)} ({fs} Hz, {len(samples)} taps, {len(biquads)} biquads convolved)")
return True
def generate_simple_graph_and_bake(profile_dir=None):
def generate_simple_graph_and_bake(profile_dir=None, input_graph_path=None):
if not profile_dir:
try:
import detect_hardware
@@ -300,9 +343,12 @@ def generate_simple_graph_and_bake(profile_dir=None):
if not profile_dir or not os.path.exists(profile_dir):
profile_dir = os.path.join(SCRIPT_DIR, "15_1")
graph_path = os.path.join(profile_dir, "graph.json")
if not os.path.exists(graph_path):
graph_path = os.path.join(SCRIPT_DIR, "graph.json")
if input_graph_path and os.path.exists(input_graph_path):
graph_path = input_graph_path
else:
graph_path = os.path.join(profile_dir, "graph.json")
if not os.path.exists(graph_path):
graph_path = os.path.join(SCRIPT_DIR, "graph.json")
simple_graph_path = os.path.join(SCRIPT_DIR, "graph_simple.json")
@@ -320,7 +366,7 @@ def generate_simple_graph_and_bake(profile_dir=None):
nodes = graph.get("filter.graph", {}).get("nodes", [])
# 1. Discover all convolver nodes and their input WAV files dynamically from graph.json
convolver_tasks = {} # maps src_filename -> {is_woofer, gain, sys_dst_path, repo_dst_path}
convolver_tasks = {} # maps raw_basename -> task dict
for node in nodes:
if node.get("label") == "convolver" or "conv" in node.get("name", ""):
@@ -331,69 +377,96 @@ def generate_simple_graph_and_bake(profile_dir=None):
is_woofer = ("woofer" in name.lower() or "convlw" in name.lower() or "convrw" in name.lower())
for sys_path in filenames:
basename = os.path.basename(sys_path)
if not basename in convolver_tasks:
if "woofer" in basename.lower():
raw_basename = os.path.basename(sys_path).replace("baked-", "")
if not raw_basename in convolver_tasks:
if "woofer" in raw_basename.lower():
is_woofer = True
baked_basename = "baked-" + basename
baked_basename = "baked-" + raw_basename
repo_dst_path = os.path.join(repo_151, baked_basename)
sys_dst_path = os.path.join(sys_dir, baked_basename)
convolver_tasks[sys_path] = {
"basename": basename,
convolver_tasks[raw_basename] = {
"raw_basename": raw_basename,
"baked_basename": baked_basename,
"is_woofer": is_woofer,
"gain": gain,
"repo_dst": repo_dst_path,
"sys_dst": sys_dst_path
}
# 2. Bake FIR files dynamically for all discovered WAV targets
for sys_path, task in convolver_tasks.items():
basename = task["basename"]
src_path = os.path.join(repo_151, basename)
if not os.path.exists(src_path) and os.path.exists(sys_path):
src_path = sys_path
if not os.path.exists(src_path) and os.path.exists(os.path.join(SCRIPT_DIR, basename)):
src_path = os.path.join(SCRIPT_DIR, basename)
# 2. Discover all static biquad EQ nodes (user_eq and equalizer) to convolve into FIR targets
biquad_nodes = [node for node in nodes if node.get("name") in ["user_eq", "equalizer"]]
# 3. Bake FIR files dynamically for all discovered WAV targets from PURE raw measurement source files
for raw_basename, task in convolver_tasks.items():
src_path = os.path.join(repo_151, raw_basename)
if not os.path.exists(src_path):
src_path = os.path.join(SCRIPT_DIR, "15_1", raw_basename)
if not os.path.exists(src_path):
src_path = os.path.join(SCRIPT_DIR, raw_basename)
if not os.path.exists(src_path):
src_path = os.path.join(sys_dir, raw_basename)
if not os.path.exists(src_path):
print(f"Warning: Raw measurement source {raw_basename} not found in {repo_151} or {sys_dir}.")
continue
# Read src_path to determine sample rate fs for exact biquad coefficient generation
_, fs = read_wav_floats(src_path)
biquads = []
for bnode in biquad_nodes:
biquads.extend(extract_biquads_from_node(bnode, fs))
bake_driver_ir(
src_wav=src_path,
dst_wav=task["repo_dst"],
is_woofer=task["is_woofer"],
driver_gain=task["gain"]
driver_gain=task["gain"],
biquads=biquads
)
# 3. Build graph_simple.json dynamically from graph.json
# 3. Build graph_simple.json dynamically from graph.json (omitting user_eq, equalizer, and whp* nodes)
graph["node.description"] = "MacBook Pro 15,1 DSP Speakers (Baked FIR Crossovers & Latency Trimming)"
new_nodes = []
for node in nodes:
name = node.get("name", "")
if name in ["whpL1", "whpL2", "whpR1", "whpR2"]:
# Omit user_eq, equalizer (baked into FIRs), and whp* crossover nodes
if name in ["user_eq", "equalizer", "whpL1", "whpL2", "whpR1", "whpR2"]:
continue
if node.get("label") == "convolver" or "conv" in name:
orig_filenames = node.get("config", {}).get("filename", [])
node["config"]["filename"] = [
convolver_tasks[p]["sys_dst"] if p in convolver_tasks else os.path.join(sys_dir, "baked-" + os.path.basename(p))
for p in orig_filenames
]
baked_fns = []
for p in orig_filenames:
rb = os.path.basename(p).replace("baked-", "")
if rb in convolver_tasks:
baked_fns.append(convolver_tasks[rb]["sys_dst"])
else:
baked_fns.append(os.path.join(sys_dir, "baked-" + rb))
node["config"]["filename"] = baked_fns
new_nodes.append(node)
# Re-wire links: filter out removed whp* crossover nodes
# Re-wire links: filter out removed user_eq, equalizer & whp* crossover links
links = graph.get("filter.graph", {}).get("links", [])
new_links = []
for link in links:
out_node = link.get("output", "")
in_node = link.get("input", "")
if "whp" in out_node or "whp" in in_node:
if ("user_eq" in out_node or "user_eq" in in_node or
"equalizer" in out_node or "equalizer" in in_node or
"whp" in out_node or "whp" in in_node):
continue
new_links.append(link)
# Set graph inputs directly to user_eq (first node in processing chain)
# Wire virtualbass -> loudness (stereo)
new_links.append({"output": "virtualbass:out_l", "input": "loudness:in_l"})
new_links.append({"output": "virtualbass:out_r", "input": "loudness:in_r"})
# Set graph inputs directly to virtualbass (first active node in simplified processing chain)
graph["filter.graph"]["inputs"] = [
"user_eq:in_l",
"user_eq:in_r"
"virtualbass:in_l",
"virtualbass:in_r"
]
# Remove capture.volumes from filter.graph if present
@@ -424,7 +497,8 @@ def main():
print("=================================================================")
print(" SINGLE-STAGE FIR CONVOLVER BAKER & GRAPH SIMPLIFIER")
print("=================================================================")
generate_simple_graph_and_bake()
input_graph = sys.argv[1] if len(sys.argv) > 1 else None
generate_simple_graph_and_bake(input_graph_path=input_graph)
print("=================================================================")
print("Done! Baked FIR files & graph_simple.json created.")

502
graph_merged.json Normal file
View File

@@ -0,0 +1,502 @@
{
"node.description": "MacBook Pro 15,1 Audio DSP",
"media.name": "MacBook Pro 15,1 Audio DSP",
"filter.graph": {
"nodes": [
{
"type": "lv2",
"plugin": "http://lsp-plug.in/plugins/lv2/para_equalizer_x16_stereo",
"name": "user_eq",
"control": {
"enabled": 1,
"mode": 0,
"g_in": 1.0,
"g_out": 1.50,
"ft_0": 5,
"f_0": 70.0,
"g_0": 1.00,
"q_0": 0.7,
"s_0": 0,
"ft_1": 1,
"f_1": 110.0,
"g_1": 1.05,
"q_1": 1.0,
"ft_2": 1,
"f_2": 315.0,
"g_2": 1.03,
"q_2": 1.0,
"ft_3": 1,
"f_3": 1000.0,
"g_3": 1.01,
"q_3": 1.0,
"ft_4": 1,
"f_4": 2500.0,
"g_4": 1.00,
"q_4": 1.0,
"ft_5": 1,
"f_5": 6000.0,
"g_5": 0.98,
"q_5": 1.0,
"ft_6": 3,
"f_6": 10000.0,
"g_6": 0.95,
"q_6": 0.7,
"ft_7": 3,
"f_7": 16000.0,
"g_7": 0.98,
"q_7": 0.7,
"s_7": 0
}
},
{
"type": "lv2",
"plugin": "https://chadmed.au/bankstown",
"name": "virtualbass",
"control": {
"amt": 1.4,
"floor": 40.0,
"ceil": 120.0,
"final_hp": 55.0,
"sat_second": 1.0,
"sat_third": 1.0,
"blend": 0.30
}
},
{
"type": "lv2",
"plugin": "http://lsp-plug.in/plugins/lv2/para_equalizer_x16_stereo",
"name": "equalizer",
"control": {
"enabled": 1,
"mode": 0,
"g_in": 1.0,
"g_out": 1.0,
"ft_0": 5,
"f_0": 40.0,
"g_0": 2.83,
"q_0": 0.70,
"ft_1": 1,
"f_1": 80.0,
"g_1": 2.00,
"q_1": 1.00,
"ft_2": 1,
"f_2": 160.0,
"g_2": 1.41,
"q_2": 1.00,
"ft_3": 1,
"f_3": 320.0,
"g_3": 1.00,
"q_3": 1.00,
"ft_4": 1,
"f_4": 640.0,
"g_4": 0.71,
"q_4": 1.00,
"ft_5": 1,
"f_5": 1280.0,
"g_5": 0.50,
"q_5": 1.00,
"ft_6": 1,
"f_6": 2560.0,
"g_6": 0.35,
"q_6": 1.00,
"ft_7": 3,
"f_7": 12000.0,
"g_7": 0.24,
"q_7": 0.70
}
},
{
"type": "lv2",
"plugin": "http://lsp-plug.in/plugins/lv2/loud_comp_stereo",
"name": "loudness",
"control": {
"enabled": 1,
"input": 1.0,
"fft": 4
}
},
{
"type": "builtin",
"label": "copy",
"name": "copyL"
},
{
"type": "builtin",
"label": "copy",
"name": "copyR"
},
{
"type": "builtin",
"label": "convolver",
"name": "convLT",
"config": {
"filename": [
"/usr/share/t2-linux-audio/15_1/tweeters-44k.wav",
"/usr/share/t2-linux-audio/15_1/tweeters-48k.wav",
"/usr/share/t2-linux-audio/15_1/tweeters-96k.wav"
],
"channel": 0,
"gain": 1.1
}
},
{
"type": "builtin",
"label": "convolver",
"name": "convRT",
"config": {
"filename": [
"/usr/share/t2-linux-audio/15_1/tweeters-44k.wav",
"/usr/share/t2-linux-audio/15_1/tweeters-48k.wav",
"/usr/share/t2-linux-audio/15_1/tweeters-96k.wav"
],
"channel": 0,
"gain": 1.1
}
},
{
"type": "builtin",
"label": "convolver",
"name": "convLW",
"config": {
"filename": [
"/usr/share/t2-linux-audio/15_1/woofers-44k.wav",
"/usr/share/t2-linux-audio/15_1/woofers-48k.wav",
"/usr/share/t2-linux-audio/15_1/woofers-96k.wav"
],
"channel": 0,
"gain": 1.2
}
},
{
"type": "builtin",
"label": "convolver",
"name": "convRW",
"config": {
"filename": [
"/usr/share/t2-linux-audio/15_1/woofers-44k.wav",
"/usr/share/t2-linux-audio/15_1/woofers-48k.wav",
"/usr/share/t2-linux-audio/15_1/woofers-96k.wav"
],
"channel": 0,
"gain": 1.2
}
},
{
"type": "lv2",
"plugin": "http://lsp-plug.in/plugins/lv2/mb_compressor_stereo",
"name": "wmb_comp",
"control": {
"enabled": 1,
"mode": 1,
"g_in": 1.0,
"g_out": 1.0,
"g_dry": 0.0001,
"g_wet": 1.0,
"cbe_1": 1,
"sf_1": 40.0,
"cbe_2": 1,
"sf_2": 50.0,
"cbe_3": 1,
"sf_3": 60.0,
"cbe_4": 1,
"sf_4": 80.0,
"cbe_5": 1,
"sf_5": 120.0,
"cbe_6": 1,
"sf_6": 200.0,
"cbe_7": 1,
"sf_7": 500.0,
"ce_0": 1,
"at_0": 5.0,
"rt_0": 100.0,
"cr_0": 30.0,
"kn_0": 0.10,
"al_0": 0.95,
"mk_0": 1.0,
"bth_0": 1.0,
"bsa_0": 1.0,
"scm_0": 0,
"ce_1": 1,
"at_1": 6.0,
"rt_1": 110.0,
"cr_1": 30.0,
"kn_1": 0.10,
"al_1": 0.92,
"mk_1": 1.0,
"bth_1": 1.0,
"bsa_1": 1.0,
"scm_1": 0,
"ce_2": 1,
"at_2": 6.0,
"rt_2": 100.0,
"cr_2": 25.0,
"kn_2": 0.12,
"al_2": 0.90,
"mk_2": 1.0,
"bth_2": 1.0,
"bsa_2": 1.0,
"scm_2": 0,
"ce_3": 1,
"at_3": 5.0,
"rt_3": 90.0,
"cr_3": 20.0,
"kn_3": 0.12,
"al_3": 0.88,
"mk_3": 1.0,
"bth_3": 1.0,
"bsa_3": 1.0,
"scm_3": 0,
"ce_4": 1,
"at_4": 4.5,
"rt_4": 80.0,
"cr_4": 16.0,
"kn_4": 0.15,
"al_4": 0.85,
"mk_4": 1.0,
"bth_4": 1.0,
"bsa_4": 1.0,
"scm_4": 0,
"ce_5": 1,
"at_5": 4.0,
"rt_5": 60.0,
"cr_5": 10.0,
"kn_5": 0.20,
"al_5": 0.80,
"mk_5": 1.0,
"bth_5": 1.0,
"bsa_5": 1.0,
"scm_5": 0,
"ce_6": 1,
"at_6": 3.0,
"rt_6": 40.0,
"cr_6": 6.0,
"kn_6": 0.30,
"al_6": 0.80,
"mk_6": 1.0,
"bth_6": 1.0,
"bsa_6": 1.0,
"scm_6": 0,
"ce_7": 1,
"at_7": 2.5,
"rt_7": 30.0,
"cr_7": 4.0,
"kn_7": 0.40,
"al_7": 0.80,
"mk_7": 1.0,
"bth_7": 1.0,
"bsa_7": 1.0,
"scm_7": 0
}
},
{
"type": "lv2",
"plugin": "http://lsp-plug.in/plugins/lv2/mb_compressor_stereo",
"name": "tmb_comp",
"control": {
"enabled": 1,
"mode": 1,
"g_in": 1.0,
"g_out": 1.0,
"g_dry": 0.0001,
"g_wet": 1.0,
"cbe_1": 1,
"sf_1": 2500.0,
"cbe_2": 1,
"sf_2": 6000.0,
"cbe_3": 1,
"sf_3": 12000.0,
"ce_0": 1,
"at_0": 3.0,
"rt_0": 50.0,
"cr_0": 8.0,
"kn_0": 0.20,
"al_0": 0.85,
"mk_0": 1.0,
"bth_0": 1.0,
"bsa_0": 1.0,
"scm_0": 0,
"ce_1": 1,
"at_1": 2.5,
"rt_1": 40.0,
"cr_1": 6.0,
"kn_1": 0.30,
"al_1": 0.80,
"mk_1": 1.0,
"bth_1": 1.0,
"bsa_1": 1.0,
"scm_1": 0,
"ce_2": 1,
"at_2": 2.0,
"rt_2": 30.0,
"cr_2": 4.0,
"kn_2": 0.40,
"al_2": 0.75,
"mk_2": 1.0,
"bth_2": 1.0,
"bsa_2": 1.0,
"scm_2": 0,
"ce_3": 1,
"at_3": 1.5,
"rt_3": 20.0,
"cr_3": 3.0,
"kn_3": 0.50,
"al_3": 0.70,
"mk_3": 1.0,
"bth_3": 1.0,
"bsa_3": 1.0,
"scm_3": 0
}
},
{
"type": "lv2",
"name": "wlim",
"plugin": "http://plugin.org.uk/swh-plugins/fastLookaheadLimiter",
"control": {
"ingain": 0,
"limit": -2,
"release": 0.25
}
},
{
"type": "lv2",
"name": "tlim",
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