VOX prosody: NetTTS parser port, wrapper VOX mode, docs

This commit is contained in:
Fisto
2026-09-16 08:04:13 +02:00
parent 643cdc38bf
commit e45e083205
5 changed files with 628 additions and 10 deletions
+5
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@@ -65,6 +65,10 @@ load: the wrapper writes it to the Wine registry before synthesis. `--voices` ma
voices with `expression=NN`, where NN is the registry default. Mapping details are in
`docs/TTS-DESIGN.md`.
**VOX prosody** (NetTTS-style, Flextalk voices): set `VESKSLOP_TTS_VOX=1` in the
command environment (`VESKSLOP_TTS_VOX_CLEAN=1` omits the `\!wH1/\!wH0` stutter
wrapper). See `docs/TTS-DESIGN.md`.
## Layout
- `host/sapi4host.c` — host: voice select, pitch/speed, text -> WAV
@@ -75,6 +79,7 @@ voices with `expression=NN`, where NN is the registry default. Mapping details a
- `setup/inf2reg.py` — INF AddReg -> `.reg` converter
- `setup/run.sh` — run helper (prefix + Xvfb)
- `setup/veskslop-tts.sh` — Veskslop command-provider wrapper (post-processing included)
- `setup/vox_parser.py` — NetTTS-style VOX prosody encoder (Flextalk voices)
- `docs/NOTES.md` — registry/CLSID facts, runtime RE notes, gotchas
- `docs/TTS-DESIGN.md` — integration contract with Veskslop plus engine clarifications
+13
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@@ -93,6 +93,19 @@ final file `WatsonUNInstall.dll` is incomplete).
verified audible (0/59/100 produce different waveforms at equal duration). Changing
them requires a registry edit and re-selecting the voice.
## VOX parser
- `setup/vox_parser.py` reimplements the NetTTS VOX prosody encoder (vendor tags
`\!wH1/\!wH0`, `\!br`, `\!sfNN`); the host already passes `TTSDATAFLAG_TAGGED`, so
the engine honors them.
- Validation: the reference `vox_parser.cpp` from a local clone of
`h4rm0n1c/NetTTS` was compiled with g++ in a throwaway harness and diffed against
the Python port; outputs are identical on the 31-line corpus. Re-check after any
parser change while the clone is available.
- VOX mode is Flextalk-only. The wrapper enables it with `VESKSLOP_TTS_VOX=1`
(`VESKSLOP_TTS_VOX_CLEAN=1` drops the stutter wrapper) and it takes precedence
over `VESKSLOP_TTS_WORDS`.
## Decompiled corpora (Ghidra)
- `/mnt/ghidra/decomp/msttssyn.dll/` (786 functions, engine)
+41 -5
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@@ -218,7 +218,7 @@ record what the engine needs to interpret, add, or hide._
so one shared level target is required. The engine post-processes every line:
resample to 48000 Hz, trim leading silence (<100 ms), 5-10 ms fades, DC removal, and
level normalization (peak about -3 dBFS, integrated loudness -16 to -20 LUFS).
- Implemented in `setup/vekslop-tts.sh` with ffmpeg: high-pass at 40 Hz, silence trim at
- Implemented in `setup/veskslop-tts.sh` with ffmpeg: high-pass at 40 Hz, silence trim at
both ends (trim-start, reverse, trim-start, reverse), 8 ms fades, then a **fixed gain**
computed from an EBU R128 measurement (`ebur128=peak=true`):
`gain = min(-16 LUFS target, -3 dBFS true-peak clamp)`, then 48 kHz mono s16le.
@@ -253,7 +253,7 @@ record what the engine needs to interpret, add, or hide._
engine requires `REG_DWORD` for numeric speaker values; with strings it synthesizes a
monotone buzz at maximum pitch. Fixed in `setup/setup-flextalk.sh`; no `no-pitch` flag
is needed.
- Mapping implemented in `setup/vekslop-tts.sh`: `speed 1.0` = natural rate 150 for every
- Mapping implemented in `setup/veskslop-tts.sh`: `speed 1.0` = natural rate 150 for every
voice, scaled by the multiplier and clamped to the engine range. `pitch` semitones scale
the voice's natural pitch unit by `2^(st/12)` and clamp to the range. Natural units are
about 100 (MSTTS), 106 (Keith Bell) and 186 (Kerry Watson). The engines' F0 response is
@@ -335,14 +335,50 @@ How to apply a change:
5. Runtime `ITTSAttributes` pitch/speed/volume layer on top of the profile: the profile
defines the natural values, the attributes shift them per request.
### VOX mode (NetTTS-inspired, Flextalk only)
`VESKSLOP_TTS_VOX=1` routes the text through a rule-based prosody encoder before
synthesis. `setup/vox_parser.py` is an independent reimplementation of the VOX parser
from [h4rm0n1c/NetTTS](https://github.com/h4rm0n1c/NetTTS), which models Half-Life's
Black Mesa announcement delivery. It was verified byte-identical to the NetTTS parser
on a 31-line corpus (the reference was built locally with g++ for the comparison).
What it does: sentence splitting; `the` -> `thee` before prepositions, proper nouns,
single letters or numbers; lead-in breaks ("Now...", "Please...", "A reminder...");
time/number/degree normalization; token weighting (light/medium/heavy) with break
insertion at linkers, title-case runs, heavy gates and a 3-beat limiter; letter
tokens (`A` -> `Ay:`, `C` -> `C:`); `\!sf500 \!br` at sentence ends; and the
`\!wH1 ... \!wH0` staccato wrapper (disable with `VESKSLOP_TTS_VOX_CLEAN=1`).
Requirements and scope:
- Flextalk voices only: `\!br`, `\!sfNN` and `\!wH1/\!wH0` are FlexTalk vendor tags.
The host passes `TTSDATAFLAG_TAGGED`, so the engine honors them. Other voices ignore
`VESKSLOP_TTS_VOX`.
- Needs `python3` at runtime; the wrapper fails loudly when it is missing.
- Mutually exclusive with `VESKSLOP_TTS_WORDS` (VOX wins).
- Measured on the dev host for "Now approaching Sector C test lab. Please stand clear
of the test chamber.": plain 4.70 s with 1 pause, VOX 7.81 s with 8 pauses.
Other NetTTS features and their relevance:
- Inline `/rate N`, `/pitch N`, `[[pause N]]`: not ported. Veskslop has speed/pitch
controls and the profile window; `[[pause N]]` could be added as a wrapper-level
text splitter later (NetTTS supports it only outside VOX mode).
- TCP server with `START`/`STOP` status sockets: not needed; Veskslop owns playback
and knows when a line ends.
- Winetricks prefix automation (`winxp`, `vcrun6`, `mfc42`, `riched20`): not needed;
our prefix runs the engines with builtin Wine libraries.
- Win32 GUI and preset sliders: Veskslop provides the UI.
### Transport and latency
- Installation is one command: `setup/install.sh` (system dependencies with sudo, wine
prefix + SAPI4 runtime + MSTTS voices, Flextalk extraction/registration, host build).
Re-running is safe; a fresh machine needs nothing else.
- Command provider, implemented as `setup/vekslop-tts.sh`:
`VESKSLOP_TTS_CMD="<repo>/setup/vekslop-tts.sh {out} {text_file}"` and
`VESKSLOP_TTS_VOICES="$(<repo>/setup/vekslop-tts.sh --voices)"`. The wrapper reads the
- Command provider, implemented as `setup/veskslop-tts.sh`:
`VESKSLOP_TTS_CMD="<repo>/setup/veskslop-tts.sh {out} {text_file}"` and
`VESKSLOP_TTS_VOICES="$(<repo>/setup/veskslop-tts.sh --voices)"`. The wrapper reads the
text file, transliterates UTF-8 to CP1252, starts or reuses an Xvfb when `DISPLAY` is
unset, calls the engine, then post-processes (trim, fades, measured fixed gain, 48 kHz
mono s16le). A stale private Xvfb is retried once.
+29 -6
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@@ -18,6 +18,8 @@
# VESKSLOP_TTS_ECHO mono echo amount 0-100 (default 0)
# VESKSLOP_TTS_WORDS 1 = synthesize each word, merge (Flextalk)
# VESKSLOP_TTS_WORD_GAP_MS silence between words in ms (0-500)
# VESKSLOP_TTS_VOX 1 = VOX prosody, NetTTS-style (Flextalk)
# VESKSLOP_TTS_VOX_CLEAN 1 = VOX without the \!wH1/\!wH0 stutter
#
# Output: 48 kHz mono s16le WAV, trimmed, faded, loudness-normalized.
set -eu
@@ -49,6 +51,8 @@ HIGHPASS=${VESKSLOP_TTS_HIGHPASS:-40}
ECHO=${VESKSLOP_TTS_ECHO:-0}
WORDS=${VESKSLOP_TTS_WORDS:-0}
WORD_GAP=${VESKSLOP_TTS_WORD_GAP_MS:-120}
VOX=${VESKSLOP_TTS_VOX:-0}
VOX_CLEAN=${VESKSLOP_TTS_VOX_CLEAN:-0}
case "$VOICE" in
sam) ENGVOICE="Sam" ;;
@@ -197,12 +201,30 @@ if [ -n "$SPEAKER_GUID" ]; then
fi
fi
# SAPI4 is ANSI/CP1252; transliterate UTF-8 (emoji become '?').
if command -v iconv >/dev/null 2>&1; then
iconv -f UTF-8 -t WINDOWS-1252//TRANSLIT "$TEXTFILE" > "$TXT" 2>/dev/null \
|| cp "$TEXTFILE" "$TXT"
# SAPI4 is ANSI/CP1252. VOX mode (Flextalk only) first transforms the text into
# vendor tags (\!wH1/\!wH0, \!br, \!sfNN) with setup/vox_parser.py; the parser
# works on UTF-8, so it runs before the CP1252 transliteration.
TEXT_SRC="$TEXTFILE"
if [ "$VOX" = "1" ] && [ -n "$SPEAKER_GUID" ]; then
if command -v python3 >/dev/null 2>&1 && [ -f "$ROOT/setup/vox_parser.py" ]; then
if [ "$VOX_CLEAN" = "1" ]; then
python3 "$ROOT/setup/vox_parser.py" --clean < "$TEXTFILE" > "$TMP/vox.txt"
else
cp "$TEXTFILE" "$TXT"
python3 "$ROOT/setup/vox_parser.py" < "$TEXTFILE" > "$TMP/vox.txt"
fi
TEXT_SRC="$TMP/vox.txt"
else
echo "vox mode needs python3 and setup/vox_parser.py" >&2
exit 1
fi
fi
# transliterate UTF-8 (emoji become '?')
if command -v iconv >/dev/null 2>&1; then
iconv -f UTF-8 -t WINDOWS-1252//TRANSLIT "$TEXT_SRC" > "$TXT" 2>/dev/null \
|| cp "$TEXT_SRC" "$TXT"
else
cp "$TEXT_SRC" "$TXT"
fi
HOST="$ROOT/build/sapi4host-winlib.exe"
@@ -232,7 +254,8 @@ try_run_host() {
# Word mode (Flextalk): synthesize each word and merge with silence gaps, which
# gives the staccato radio cadence the Half-Life VOX/HEV voices are known for.
if [ "$WORDS" = "1" ] && [ -n "$SPEAKER_GUID" ]; then
# VOX mode takes precedence: it produces its own cadence with vendor tags.
if [ "$WORDS" = "1" ] && [ -n "$SPEAKER_GUID" ] && [ "$VOX" != "1" ]; then
GAP=$WORD_GAP
case "$GAP" in *[!0-9]*|"") GAP=120 ;; esac
[ "$GAP" -gt 500 ] && GAP=500
+541
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@@ -0,0 +1,541 @@
#!/usr/bin/env python3
"""VOX prosody encoder for FlexTalk, ported from h4rm0n1c/NetTTS.
Transforms plain text into FlexTalk vendor-tagged text:
\\!wH1 ... \\!wH0 staccato word-cadence wrapper
\\!br beat boundary
\\!sfNN final pause (centiseconds)
Our host passes TTSDATAFLAG_TAGGED, so the engine honors these tags.
Rule set studied from https://github.com/h4rm0n1c/NetTTS (vox_parser.cpp,
no license declared; this is an independent reimplementation).
Usage:
vox_parser.py [--clean] [text]
echo "text" | vox_parser.py
--clean omits the \\!wH1/\\!wH0 wrapper (plain cadence, no word stutter).
"""
import re
import sys
BR = r'\!br'
WH1 = r'\!wH1'
WH0 = r'\!wH0'
TAGS = (BR, WH1, WH0)
RE_LEADIN = re.compile(
r'^\s*((?:Now|Please|A\s+reminder|On\s+behalf\s+of|Good\s+(?:morning|evening)'
r'|This\s+(?:automated\s+train|tram)))\b', re.IGNORECASE | re.ASCII)
RE_TIME12 = re.compile(
r'\b(\d{1,2})[:.](\d{2})\s*((?:A\.?M\.?)|(?:P\.?M\.?))(?:\.)?\b',
re.IGNORECASE | re.ASCII)
RE_TIME_IS = re.compile(r'(\b[Tt]he\s+time\s+is)\s+(\d+)', re.ASCII)
RE_24H = re.compile(r'\b(\d{2})00\s+hours\b', re.IGNORECASE | re.ASCII)
RE_N3 = re.compile(r'\b([1-9])(\d)(\d)\b', re.ASCII)
RE_DEGREES = re.compile(r'\b(\d+)\s+degrees\b', re.IGNORECASE | re.ASCII)
LIGHT, MEDIUM, HEAVY = 0, 1, 2
STOP_WORDS = {
'the', 'thee', 'a', 'an', 'to', 'for', 'of', 'in', 'on', 'at', 'by', 'with',
'from', 'as', 'is', 'are', 'was', 'were', 'this', 'that',
}
LIGHT_VERBS = {
'welcome', 'wait', 'stand', 'provide', 'provided', 'return', 'remain',
'maintain', 'maintained', 'verify', 'contact', 'board', 'arriving',
'inbound', 'bound', 'commence', 'commences',
}
UNITS = {'degrees', 'hours', 'percent', '%'}
LINKERS = {'at', 'in', 'on', 'to', 'of', 'for', 'from', 'by'}
DETERMINERS = {'the', 'thee', 'a', 'an', 'this', 'that', 'these', 'those',
'some', 'any', 'each', 'every', 'no'}
PUNCT = '.,;:!?\'"'
def trim(s):
return s.strip()
def lower(s):
return s.lower()
def bare(tok):
return strip_trailing_punct(tok)
def is_all_digits(t):
return bool(t) and all('0' <= c <= '9' for c in t)
def is_titlecase_word(t):
return bool(t) and t[0].isalpha() and t[0].isupper()
def strip_trailing_punct(t):
while t and t[-1] in PUNCT:
t = t[:-1]
return t
def split_tail(tok):
"""Return (core, trailing punctuation)."""
core, tail = tok, ''
while core and core[-1] in PUNCT:
tail = core[-1] + tail
core = core[:-1]
return core, tail
def ends_with_br(s):
return s.endswith(' ' + BR)
def is_tag(tok):
return tok in TAGS
def split_sentences(text):
out, cur = [], ''
i = 0
n = len(text)
while i < n:
c = text[i]
cur += c
if c in '.!?':
j = i + 1
while j < n and text[j] in '"\'':
cur += text[j]
j += 1
if trim(cur):
out.append(trim(cur))
cur = ''
i = j - 1
i += 1
tail = trim(cur)
if tail:
out.append(tail)
return out
def apply_leadin_break(s):
m = RE_LEADIN.search(s)
if not m:
return s
head = trim(m.group(0))
rest = trim(s[m.end():])
return head + ' ' + BR + ' ' + rest
def is_single_letter(tok):
b = bare(tok)
if len(b) == 1 and b[0].isalpha() and b[0].isupper():
return True
return len(b) == 2 and b[0].isalpha() and b[0].isupper() and b[1] == ':'
def is_number(tok):
b = bare(tok)
return is_all_digits(b)
def apply_thee_rule(s):
tok = s.split()
if not tok:
return s
def prev_word(i, nth):
for k in range(i - 1, -1, -1):
if is_tag(tok[k]):
continue
nth -= 1
if nth == 0:
return lower(split_tail(tok[k])[0])
return ''
def next_word(i, nth):
for k in range(i + 1, len(tok)):
if is_tag(tok[k]):
continue
nth -= 1
if nth == 0:
return tok[k]
return ''
for i in range(len(tok)):
if is_tag(tok[i]):
continue
core, tail = split_tail(tok[i])
if lower(core) != 'the':
tok[i] = core + tail
continue
make_thee = False
p1 = prev_word(i, 1)
if p1:
if p1 in LINKERS:
make_thee = True
elif p1 == 'of':
p2, p3 = prev_word(i, 2), prev_word(i, 3)
if p2 == 'behalf' and p3 == 'on':
make_thee = True
if not make_thee:
n1 = next_word(i, 1)
if n1 and (is_titlecase_word(bare(n1)) or is_single_letter(n1)
or is_number(n1)):
make_thee = True
tok[i] = ('thee' if make_thee else core) + tail
return ' '.join(tok)
def apply_time_numbers_degrees(s):
def time12(m):
hh, mm, ap = m.group(1), m.group(2), lower(m.group(3))
ap1 = 'P:' if ap.startswith('p') else 'Ay:'
return hh + ' ' + BR + ' ' + mm + ' ' + BR + ' ' + ap1 + ' ' + BR + ' M:'
s = RE_TIME12.sub(time12, s)
s = RE_TIME_IS.sub(r'\1 ' + BR + r' \2', s)
s = RE_24H.sub(r'\1 ' + BR + ' hundred ' + BR + ' hours', s)
def n3(m):
yz = m.group(2) + m.group(3)
if yz == '00':
return m.group(0)
rem = yz.lstrip('0') or yz
return m.group(1) + '00 ' + BR + ' and ' + BR + ' ' + rem
s = RE_N3.sub(n3, s)
s = RE_DEGREES.sub(r'\1 ' + BR + ' degrees ' + BR, s)
s = re.sub(r'M:\s*\.', 'M:', s)
return s
def syllables(word):
if not word:
return 0
w = lower(word)
vowels = set('aeiouy')
count = 0
in_v = False
for c in w:
if c in vowels:
if not in_v:
count += 1
in_v = True
else:
in_v = False
if count > 1 and len(w) > 1 and w[-1] == 'e' and not (len(w) > 2 and w[-2] == 'l'):
count -= 1
if len(w) > 2 and w[-1] == 'e' and w[-2] == 'l':
count += 1
return max(1, count)
def weight(tok):
if not tok:
return LIGHT
pfree = strip_trailing_punct(tok)
tl = lower(pfree)
if tl in STOP_WORDS or tl in LIGHT_VERBS:
return LIGHT
if is_all_digits(pfree):
return HEAVY
if '-' in pfree:
return HEAVY
if is_titlecase_word(pfree):
return HEAVY
if tl in UNITS:
return HEAVY
if syllables(pfree) >= 3 or len(pfree) >= 8:
return HEAVY
return MEDIUM
def is_and(tok):
return lower(strip_trailing_punct(tok)) == 'and'
def starts_with_punct(tok):
return bool(tok) and tok[0] in '.,;:!?)'
def is_open_punct(tok):
return bool(tok) and tok[0] in '("\''
def emit_titlecase_run(v, i, j, out):
if out and not ends_with_br(out):
out += ' ' + BR
for k in range(i, j):
out += ' ' + v[k] + ' ' + BR
return out
def build_beats(sentence):
v = sentence.split()
if not v:
return sentence
out = ['']
state = {'since_break_all_light': True, 'prev_w': LIGHT, 'content_run': 0}
def reset():
state['since_break_all_light'] = True
state['content_run'] = 0
state['prev_w'] = LIGHT
def ensure_break():
if not ends_with_br(out[0]):
out[0] += ' ' + BR
def append_token(tok):
if out[0] and not starts_with_punct(tok) and not is_open_punct(tok):
out[0] += ' '
out[0] += tok
def emit_dash_split(tok):
core, tail = split_tail(tok)
cuts = []
for p, c in enumerate(core):
if c in ('-', '\u2013', '\u2014'):
if 0 < p < len(core) - 1 and core[p - 1].isalpha() and core[p + 1].isalpha():
cuts.append(p)
else:
return False
if not cuts:
return False
start = 0
for idx in range(len(cuts) + 1):
end = cuts[idx] if idx < len(cuts) else len(core)
part = core[start:end]
if out[0] and not ends_with_br(out[0]) and not starts_with_punct(part) and not is_open_punct(part):
out[0] += ' '
if idx == len(cuts):
part += tail
out[0] += part
ensure_break()
reset()
start = end + (1 if idx < len(cuts) else 0)
return True
i = 0
while i < len(v):
# Proper-noun blocks
if bare(v[i]) in ('Area', 'Level', 'Sector'):
j = i + 1
while j < len(v):
wj = bare(v[j])
if is_all_digits(wj) or is_titlecase_word(wj):
j += 1
else:
break
if j > i + 1:
out[0] = emit_titlecase_run(v, i, j, out[0])
i = j
reset()
continue
if is_titlecase_word(bare(v[i])):
j = i
while j < len(v) and is_titlecase_word(bare(v[j])):
j += 1
if j >= i + 2:
out[0] = emit_titlecase_run(v, i, j, out[0])
i = j
reset()
continue
# "and" between heavier items
if is_and(v[i]) and 0 < i < len(v) - 1:
if weight(v[i - 1]) >= MEDIUM and weight(v[i + 1]) >= MEDIUM:
ensure_break()
out[0] += ' and ' + BR
i += 1
reset()
continue
# Standalone dash
if v[i] in ('-', '\u2013', '\u2014'):
ensure_break()
reset()
i += 1
continue
# Symmetric linker isolation
tl_tok = lower(bare(v[i]))
if i >= 2 and tl_tok in LINKERS:
ensure_break()
reset()
append_token(v[i])
ensure_break()
reset()
i += 1
continue
# Pre-copula break
if i >= 2 and lower(bare(v[i])) == 'is':
k = i + 1
while k < len(v) and is_tag(v[k]):
k += 1
trigger = False
if k < len(v):
n1 = v[k]
if (lower(strip_trailing_punct(n1)) in DETERMINERS
or is_titlecase_word(strip_trailing_punct(n1))
or is_all_digits(strip_trailing_punct(n1))
or is_single_letter(n1)
or weight(n1) == HEAVY):
trigger = True
if trigger and not ends_with_br(out[0]):
out[0] += ' ' + BR
reset()
# Hyphenated compounds
if emit_dash_split(v[i]):
i += 1
continue
# Generic token logic
tok = v[i]
w_eff = weight(tok)
in_head_span = i < 2
if i == 0 and is_titlecase_word(bare(tok)):
next_is_title = (i + 1 < len(v)) and is_titlecase_word(bare(v[i + 1]))
if not next_is_title and w_eff == HEAVY:
w_eff = MEDIUM
if w_eff == HEAVY and state['content_run'] >= 1:
k = i - 1
while k >= 0 and is_tag(v[k]):
k -= 1
exempt = False
if k >= 0:
prev = v[k]
if (is_titlecase_word(bare(prev)) or is_all_digits(bare(prev))
or is_single_letter(prev)):
exempt = True
if not exempt:
ensure_break()
reset()
if w_eff == HEAVY and state['content_run'] >= 2:
ensure_break()
reset()
if w_eff == HEAVY and state['since_break_all_light'] and not in_head_span:
if out[0] and not ends_with_br(out[0]):
out[0] += ' ' + BR
reset()
if i > 0 and state['prev_w'] == HEAVY and w_eff == HEAVY and not in_head_span:
ensure_break()
reset()
append_token(tok)
if tok and tok[-1] in ',;' and not ends_with_br(out[0]):
out[0] += ' ' + BR
reset()
i += 1
continue
if w_eff == LIGHT:
pass
else:
state['content_run'] += 1
state['since_break_all_light'] = False
state['prev_w'] = w_eff
i += 1
return trim(out[0])
def normalize_letter_tokens(s):
tok = s.split()
if not tok:
return s
def is_boundary(idx):
return idx < 0 or idx >= len(tok) or is_tag(tok[idx])
for i in range(len(tok)):
if is_tag(tok[i]):
continue
core, tail = tok[i], ''
had_colon = False
while core:
c = core[-1]
if c == ':' and not had_colon:
had_colon = True
core = core[:-1]
continue
if c in '.,;!?\'"':
tail = c + tail
core = core[:-1]
continue
break
near_bound = is_boundary(i - 1) or is_boundary(i + 1)
if core in ('A', 'a') and (near_bound or had_colon):
core = 'Ay'
had_colon = True
elif len(core) == 1 and core.isalpha() and core.isupper() and near_bound:
had_colon = True
tok[i] = core + (':' if had_colon else '') + tail
return ' '.join(tok)
def tidy(s):
t = re.sub(r'\s+', ' ', s)
t = re.sub(r'\s*' + re.escape(BR) + r'\s*', ' ' + BR + ' ', t)
t = re.sub(r'(\s*' + re.escape(BR) + r'\s*){2,}', ' ' + BR + ' ', t)
t = re.sub(r'\s+([.,!?;:])', r'\1', t)
return t.strip()
def vox_process(text, wrap_vox_tags=True):
out = ''
for sent in split_sentences(text):
if not sent:
continue
sent = apply_thee_rule(sent)
sent = apply_leadin_break(sent)
sent = apply_time_numbers_degrees(sent)
beats = build_beats(sent)
beats = normalize_letter_tokens(beats)
beats = tidy(beats)
if beats and not beats.endswith(' '):
beats += ' '
beats += r'\!sf500 ' + BR
if out:
out += ' '
out += beats
out = trim(out)
out = re.sub(r'(\s*' + re.escape(BR) + r'\s*){2,}', ' ' + BR + ' ', out)
out = re.sub(re.escape(BR) + r'\s*([,;:])', r'\1 ' + BR, out)
if out:
if wrap_vox_tags:
out = WH1 + ' ' + out + ' ' + WH0 + ' '
else:
out = out + ' '
return out
def main():
args = sys.argv[1:]
clean = False
if '--clean' in args:
clean = True
args.remove('--clean')
if args:
lines = [' '.join(args)]
else:
lines = sys.stdin.read().splitlines()
out_lines = [vox_process(line, wrap_vox_tags=not clean) for line in lines if line.strip()]
sys.stdout.write('\n'.join(out_lines))
if out_lines:
sys.stdout.write('\n')
if __name__ == '__main__':
main()