feat: Enhance text normalization with support for internet slang expansion, currency formatting, and date handling; update debug WAVs interface and settings

abogen/debug_tts_samples.py

@@ -182,7 +182,7 @@ DEBUG_TTS_SAMPLES: Sequence[DebugTTSSample] = (
     DebugTTSSample(
         code="TITLE_003",
         label="Titles and abbreviations (3)",
-        text="Gen. Lee spoke to Sgt. Rivera on Main St.",
+        text="Gen. Smith spoke to Sgt. Rivera on Main St.",
     ),
     DebugTTSSample(
         code="TITLE_004",

abogen/heteronym_overrides.py

@@ -5,7 +5,10 @@ import re
 from dataclasses import dataclass
 from typing import Any, Dict, Iterable, List, Mapping, Optional, Sequence, Tuple
 
-import spacy
+try:  # pragma: no cover - optional dependency
+    import spacy  # type: ignore
+except Exception:  # pragma: no cover - spaCy may be unavailable in minimal environments
+    spacy = None
 
 
 @dataclass(frozen=True)
@@ -177,6 +180,9 @@ def _build_replacement_sentence(sentence: str, token: str, replacement_token: st
 
 
 def _load_spacy(language: str) -> Any:
+    if spacy is None:
+        return None
+
     # English only for now.
     # Use installed small model; keep it simple.
     lang = (language or "en").lower()
@@ -211,7 +217,12 @@ def extract_heteronym_overrides(
     if not lang.startswith("en"):
         return []
 
+    if spacy is None:
+        return []
+
     nlp = _load_spacy(lang)
+    if nlp is None:
+        return []
 
     previous_choices: Dict[str, str] = {}
     if existing:

abogen/kokoro_text_normalization.py

@@ -3,6 +3,8 @@ from __future__ import annotations
 import json
 import re
 import unicodedata
+import os
+import locale
 from fractions import Fraction
 from dataclasses import dataclass, field
 from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Mapping, Optional, Sequence, Tuple
@@ -129,6 +131,176 @@ _URL_RE = re.compile(r"(https?://)?(www\.)?(?P<domain>[a-zA-Z0-9-]+(\.[a-zA-Z0-9
 _FOOTNOTE_RE = re.compile(r"([a-zA-Z]+)(\d+)")
 _BRACKET_FOOTNOTE_RE = re.compile(r"\[\d+\]")
 
+_ISO_DATE_RE = re.compile(r"\b(?P<year>\d{4})[/-](?P<month>\d{1,2})[/-](?P<day>\d{1,2})\b")
+_MDY_DATE_RE = re.compile(
+    r"\b(?P<month>Jan(?:uary)?|Feb(?:ruary)?|Mar(?:ch)?|Apr(?:il)?|May|Jun(?:e)?|Jul(?:y)?|Aug(?:ust)?|Sep(?:t(?:ember)?)?|Oct(?:ober)?|Nov(?:ember)?|Dec(?:ember)?)\.?\s+"
+    r"(?P<day>\d{1,2})(?:st|nd|rd|th)?\s*,\s*(?P<year>\d{4})\b",
+    re.IGNORECASE,
+)
+
+_TIME_RE = re.compile(
+    r"\b(?P<hour>\d{1,2})(?::(?P<minute>\d{2}))?\s*(?P<meridian>a\.?m\.?|p\.?m\.?)\b",
+    re.IGNORECASE,
+)
+
+_ADDRESS_ABBR_RE = re.compile(r"(?P<prefix>\b\w+\s+)(?P<abbr>St|Rd|Ave|Blvd|Ln|Dr)\.(?=\s*(?:,|\.|!|\?|$))")
+
+_MONTH_MAP = {
+    "jan": "January",
+    "january": "January",
+    "feb": "February",
+    "february": "February",
+    "mar": "March",
+    "march": "March",
+    "apr": "April",
+    "april": "April",
+    "may": "May",
+    "jun": "June",
+    "june": "June",
+    "jul": "July",
+    "july": "July",
+    "aug": "August",
+    "august": "August",
+    "sep": "September",
+    "sept": "September",
+    "september": "September",
+    "oct": "October",
+    "october": "October",
+    "nov": "November",
+    "november": "November",
+    "dec": "December",
+    "december": "December",
+}
+
+
+def _is_us_locale() -> bool:
+    for key in ("LC_ALL", "LC_TIME", "LANG"):
+        value = os.environ.get(key)
+        if value and "en_US" in value:
+            return True
+    try:
+        loc = locale.getlocale(locale.LC_TIME)
+        if loc and loc[0] and "en_US" in loc[0]:
+            return True
+    except Exception:
+        pass
+    return False
+
+
+def _year_to_words_american(value: int, language: str) -> str:
+    if language.lower().startswith("en") and 2000 <= value <= 2099:
+        if value == 2000:
+            return "two thousand"
+        if 2001 <= value <= 2009:
+            tail = _DIGIT_WORDS[value % 10]
+            return f"two thousand {tail}"
+
+        first_two = value // 100
+        last_two = value % 100
+        first_words = _int_to_words(first_two, language) or "twenty"
+        if last_two == 0:
+            return f"{first_words} hundred"
+        if last_two < 10:
+            return f"{first_words} oh {_DIGIT_WORDS[last_two]}"
+        last_words = _int_to_words(last_two, language)
+        return f"{first_words} {last_words or last_two}"
+
+    words = _int_to_words(value, language)
+    return words or str(value)
+
+
+def _normalize_dates(text: str, language: str) -> str:
+    us = _is_us_locale()
+
+    def _format_iso(match: re.Match[str]) -> str:
+        year = int(match.group("year"))
+        month = int(match.group("month"))
+        day = int(match.group("day"))
+        if not (1 <= month <= 12 and 1 <= day <= 31):
+            return match.group(0)
+        month_name = (
+            [
+                "January",
+                "February",
+                "March",
+                "April",
+                "May",
+                "June",
+                "July",
+                "August",
+                "September",
+                "October",
+                "November",
+                "December",
+            ][month - 1]
+        )
+        ordinal = _int_to_ordinal_words(day, language) or str(day)
+        year_words = _year_to_words_american(year, language)
+        return f"{month_name} {ordinal}, {year_words}" if us else f"{ordinal} {month_name} {year_words}"
+
+    def _format_mdy(match: re.Match[str]) -> str:
+        month_raw = str(match.group("month") or "").strip().lower().rstrip(".")
+        month_name = _MONTH_MAP.get(month_raw)
+        if not month_name:
+            return match.group(0)
+        day = int(match.group("day"))
+        year = int(match.group("year"))
+        ordinal = _int_to_ordinal_words(day, language) or str(day)
+        year_words = _year_to_words_american(year, language)
+        return f"{month_name} {ordinal}, {year_words}" if us else f"{ordinal} {month_name} {year_words}"
+
+    out = _ISO_DATE_RE.sub(_format_iso, text)
+    out = _MDY_DATE_RE.sub(_format_mdy, out)
+    return out
+
+
+def _normalize_times(text: str) -> str:
+    def _replace(match: re.Match[str]) -> str:
+        hour = match.group("hour")
+        minute = match.group("minute")
+        meridian = match.group("meridian").lower().replace(".", "")
+        if minute:
+            return f"{hour}:{minute} {meridian}"
+        return f"{hour} {meridian}"
+
+    return _TIME_RE.sub(_replace, text)
+
+
+def _normalize_address_abbreviations(text: str) -> str:
+    mapping = {
+        "st": "street",
+        "rd": "road",
+        "ave": "avenue",
+        "blvd": "boulevard",
+        "ln": "lane",
+        "dr": "drive",
+    }
+
+    def _replace(match: re.Match[str]) -> str:
+        abbr = match.group("abbr")
+        full = mapping.get(abbr.lower())
+        if not full:
+            return match.group(0)
+        return match.group("prefix") + _match_casing(abbr, full)
+
+    return _ADDRESS_ABBR_RE.sub(_replace, text)
+
+
+def _normalize_internet_slang(text: str) -> str:
+    mapping = {
+        "pls": "please",
+        "plz": "please",
+    }
+
+    def _replace(match: re.Match[str]) -> str:
+        token = match.group(0)
+        replacement = mapping.get(token.lower())
+        if not replacement:
+            return token
+        return _match_casing(token, replacement)
+
+    return re.sub(r"\b(?:pls|plz)\b", _replace, text, flags=re.IGNORECASE)
+
 _DECIMAL_NUMBER_RE = re.compile(
     rf"(?<![\w{_NUMBER_RANGE_CLASS}/])(?P<number>-?(?:\d{{1,3}}(?:,\d{{3}})+|\d+)\.(?P<fraction>\d+))(?![\w{_NUMBER_RANGE_CLASS}/])"
 )
@@ -155,14 +327,50 @@ def _int_to_words(value: int, language: str) -> Optional[str]:
 
 
 def _int_to_ordinal_words(value: int, language: str) -> Optional[str]:
-    if num2words is None:
+    if num2words is not None:
-        return None
-
         try:
             return num2words(value, lang=language, ordinal=True)
         except Exception:  # pragma: no cover - unsupported locale
             return None
 
+    if language.lower().startswith("en"):
+        ordinals = {
+            1: "first",
+            2: "second",
+            3: "third",
+            4: "fourth",
+            5: "fifth",
+            6: "sixth",
+            7: "seventh",
+            8: "eighth",
+            9: "ninth",
+            10: "tenth",
+            11: "eleventh",
+            12: "twelfth",
+            13: "thirteenth",
+            14: "fourteenth",
+            15: "fifteenth",
+            16: "sixteenth",
+            17: "seventeenth",
+            18: "eighteenth",
+            19: "nineteenth",
+            20: "twentieth",
+            21: "twenty-first",
+            22: "twenty-second",
+            23: "twenty-third",
+            24: "twenty-fourth",
+            25: "twenty-fifth",
+            26: "twenty-sixth",
+            27: "twenty-seventh",
+            28: "twenty-eighth",
+            29: "twenty-ninth",
+            30: "thirtieth",
+            31: "thirty-first",
+        }
+        return ordinals.get(int(value))
+
+    return None
+
 
 def _pluralize_fraction_word(base: str) -> str:
     if base == "half":
@@ -366,6 +574,8 @@ TITLE_ABBREVIATIONS = {
     "dr": "doctor",
     "prof": "professor",
     "rev": "reverend",
+    "gen": "general",
+    "sgt": "sergeant",
 }
 
 SUFFIX_ABBREVIATIONS = {
@@ -1146,7 +1356,23 @@ def classify_token(token: str, cfg: ApostropheConfig) -> Tuple[str, str]:
     # 1. Decades
     if DECADE_RE.match(token):
         if cfg.decades_mode == "expand":
-            return "decade", f"19{token[2:4]}s"
+            decade_digit = token[1]
+            decade_map = {
+                "0": "two thousands",
+                "1": "tens",
+                "2": "twenties",
+                "3": "thirties",
+                "4": "forties",
+                "5": "fifties",
+                "6": "sixties",
+                "7": "seventies",
+                "8": "eighties",
+                "9": "nineties",
+            }
+            spoken = decade_map.get(decade_digit)
+            if spoken:
+                return "decade", spoken
+            return "decade", token
         return "decade", token
 
     # 2. Leading elision
@@ -1312,7 +1538,7 @@ def normalize_apostrophes(text: str, cfg: ApostropheConfig | None = None) -> Tup
     return normalized_text, results
 
 def _normalize_grouped_numbers(text: str, cfg: ApostropheConfig) -> str:
-    if not text or not cfg.convert_numbers:
+    if not text:
         return text
 
     language = (cfg.number_lang or "en").strip() or "en"
@@ -1360,6 +1586,20 @@ def _normalize_grouped_numbers(text: str, cfg: ApostropheConfig) -> str:
                     return words.replace(" and ", " ")
                 return None
 
+            # 1200s are commonly spoken as "twelve hundred".
+            if 1200 <= value < 1300:
+                hundreds = value // 100
+                remainder = value % 100
+                prefix = _words(hundreds)
+                if not prefix:
+                    return None
+                if remainder == 0:
+                    return f"{prefix} hundred"
+                tail = _format_year_tail(remainder, allow_oh=True)
+                if tail is None:
+                    return None
+                return f"{prefix} hundred {tail}".strip()
+
             if value % 1000 == 0:
                 thousands = value // 1000
                 thousands_words = _words(thousands)
@@ -1537,6 +1777,29 @@ def _normalize_grouped_numbers(text: str, cfg: ApostropheConfig) -> str:
             
             return f"{amount_spoken} {magnitude} {currency_name}"
 
+        # Handle $0.99 -> ninety-nine cents (avoid "zero dollars and...").
+        if amount_str.startswith("0") and amount < 1.0:
+            dollars_part, dot, fraction = amount_str.partition(".")
+            if dot and fraction:
+                cents_str = (fraction + "00")[:2]
+                try:
+                    cents_value = int(cents_str)
+                except ValueError:
+                    cents_value = 0
+                if cents_value > 0:
+                    cents_words = _int_to_words(cents_value, language) or str(cents_value)
+                    subunit = {
+                        "$": "cent",
+                        "€": "cent",
+                        "£": "penny",
+                        "¥": "yen",
+                    }.get(symbol, "cent")
+                    if symbol == "£":
+                        subunit = "pence" if cents_value != 1 else "penny"
+                    else:
+                        subunit = (subunit + "s") if cents_value != 1 and subunit not in {"pence", "yen"} else subunit
+                    return f"{cents_words} {subunit}".strip()
+
         currency_map = {
             "$": "USD",
             "£": "GBP",
@@ -1560,6 +1823,13 @@ def _normalize_grouped_numbers(text: str, cfg: ApostropheConfig) -> str:
     def _replace_url(match: re.Match[str]) -> str:
         domain = match.group("domain")
 
+        # Avoid matching dotted abbreviations/acronyms without an explicit URL prefix.
+        has_prefix = match.group(1) or match.group(2)
+        if not has_prefix:
+            parts = [p for p in domain.split(".") if p]
+            if parts and all(p.isalpha() and len(p) <= 2 for p in parts):
+                return match.group(0)
+        
         # Avoid matching numbers like 1.05 or 12.34.56
         # If the domain consists only of digits and dots, ignore it (unless it has http/www prefix)
         has_prefix = match.group(1) or match.group(2)
@@ -1584,7 +1854,7 @@ def _normalize_grouped_numbers(text: str, cfg: ApostropheConfig) -> str:
 
     normalized = text
 
-    # Apply URL replacement first
+    # Apply URL replacement first (independent of number conversion).
     normalized = _URL_RE.sub(_replace_url, normalized)
 
     if getattr(cfg, "remove_footnotes", False):
@@ -1593,6 +1863,8 @@ def _normalize_grouped_numbers(text: str, cfg: ApostropheConfig) -> str:
 
     if cfg.convert_currency:
         normalized = _CURRENCY_RE.sub(_replace_currency, normalized)
+
+    if cfg.convert_numbers:
         normalized = _NUMBER_RANGE_RE.sub(lambda m: _replace_number_range(m, language), normalized)
         normalized = _NUMBER_SPACE_RANGE_RE.sub(lambda m: _replace_space_separated_range(m, language), normalized)
         normalized = _FRACTION_RE.sub(lambda m: _replace_fraction(m, language), normalized)
@@ -1600,7 +1872,15 @@ def _normalize_grouped_numbers(text: str, cfg: ApostropheConfig) -> str:
         normalized = _NUMBER_WITH_GROUP_RE.sub(_replace_grouped, normalized)
         normalized = _PLAIN_NUMBER_RE.sub(_replace_plain, normalized)
         normalized = _normalize_roman_numerals(normalized, language)
+
     return normalized
+def _normalize_dotted_acronyms(text: str) -> str:
+    def _replace(match: re.Match[str]) -> str:
+        value = match.group(0)
+        compact = value.replace(".", "")
+        return compact
+
+    return re.sub(r"\b(?:[A-Z]\.){1,}[A-Z]\.?(?=\W|$)", _replace, text)
 
 # ---------- Optional phoneme hint post-processing ----------
 
@@ -1909,21 +2189,31 @@ def normalize_for_pipeline(
     mode = str(runtime_settings.get("normalization_apostrophe_mode", "spacy")).lower()
     normalized = text
 
+    # Pre-normalization that must happen before number/url parsing.
+    if runtime_settings.get("normalization_numbers", True):
+        normalized = _normalize_dates(normalized, cfg.number_lang)
+        normalized = _normalize_times(normalized)
+        normalized = _normalize_dotted_acronyms(normalized)
+    if runtime_settings.get("normalization_titles", True):
+        normalized = _normalize_address_abbreviations(normalized)
+    if runtime_settings.get("normalization_internet_slang", False):
+        normalized = _normalize_internet_slang(normalized)
+
     if mode == "off":
-        normalized = normalize_unicode_apostrophes(text)
+        normalized = normalize_unicode_apostrophes(normalized)
-        if cfg.convert_numbers:
+        if cfg.convert_numbers or cfg.convert_currency or getattr(cfg, "remove_footnotes", False):
             normalized = _normalize_grouped_numbers(normalized, cfg)
         normalized = _cleanup_spacing(normalized)
     elif mode == "llm":
         try:
-            normalized = _normalize_with_llm(text, settings=runtime_settings, config=cfg)
+            normalized = _normalize_with_llm(normalized, settings=runtime_settings, config=cfg)
         except LLMClientError:
             raise
-        if cfg.convert_numbers:
+        if cfg.convert_numbers or cfg.convert_currency or getattr(cfg, "remove_footnotes", False):
             normalized = _normalize_grouped_numbers(normalized, cfg)
         normalized = _cleanup_spacing(normalized)
     else:
-        normalized, _ = normalize_apostrophes(text, cfg)
+        normalized, _ = normalize_apostrophes(normalized, cfg)
 
     if runtime_settings.get("normalization_titles", True):
         normalized = expand_titles_and_suffixes(normalized)

abogen/normalization_settings.py

@@ -38,6 +38,7 @@ _SETTINGS_DEFAULTS: Dict[str, Any] = {
     "normalization_terminal": True,
     "normalization_phoneme_hints": True,
     "normalization_caps_quotes": True,
+    "normalization_internet_slang": False,
     "normalization_apostrophes_contractions": True,
     "normalization_apostrophes_plural_possessives": True,
     "normalization_apostrophes_sibilant_possessives": True,

abogen/web/debug_tts_runner.py

@@ -26,6 +26,7 @@ class DebugWavArtifact:
     label: str
     filename: str
     code: Optional[str] = None
+    text: Optional[str] = None
 
 
 def _resolve_voice_setting(value: str) -> tuple[str, Optional[str], Optional[str]]:
@@ -65,6 +66,21 @@ def _extract_cases_from_text(text: str) -> List[Tuple[str, str]]:
     return cases
 
 
+def _spoken_id(code: str) -> str:
+    # Make IDs pronounceable and stable (avoid reading as a word).
+    out: List[str] = []
+    for ch in str(code or ""):
+        if ch == "_":
+            out.append(" ")
+        elif ch.isalnum():
+            out.append(ch)
+        else:
+            out.append(" ")
+    # Add spaces between alnum to encourage letter-by-letter reading.
+    spaced = " ".join("".join(out).split())
+    return spaced
+
+
 def run_debug_tts_wavs(
     *,
     output_root: Path,
@@ -96,6 +112,14 @@ def run_debug_tts_wavs(
     combined_text = extraction.combined_text or "\n\n".join((c.text or "") for c in extraction.chapters)
     cases = _extract_cases_from_text(combined_text)
 
+    # Prefer the canonical sample catalog for text (EPUB extraction may include headings).
+    try:
+        from abogen.debug_tts_samples import DEBUG_TTS_SAMPLES
+
+        sample_text_by_code = {sample.code: sample.text for sample in DEBUG_TTS_SAMPLES}
+    except Exception:
+        sample_text_by_code = {}
+
     expected = list(iter_expected_codes())
     found_codes = {code for code, _ in cases}
     missing = [code for code in expected if code not in found_codes]
@@ -162,12 +186,16 @@ def run_debug_tts_wavs(
     overall_path = run_dir / "overall.wav"
     overall_audio: List[np.ndarray] = []
 
-    def synth(text: str) -> np.ndarray:
+    def synth(text: str, *, apply_normalization: bool = True) -> np.ndarray:
-        normalized = normalize_for_pipeline(
+        normalized = (
+            normalize_for_pipeline(
                 text,
                 config=apostrophe_config,
                 settings=normalization_settings,
             )
+            if apply_normalization
+            else str(text or "")
+        )
         parts: List[np.ndarray] = []
         for segment in pipeline(
             normalized,
@@ -182,19 +210,26 @@ def run_debug_tts_wavs(
             return np.zeros(0, dtype="float32")
         return np.concatenate(parts).astype("float32", copy=False)
 
+    pause_1s = np.zeros(int(1.0 * SAMPLE_RATE), dtype="float32")
+    between_cases = np.zeros(int(0.35 * SAMPLE_RATE), dtype="float32")
+
     # Per sample
     for code, snippet in cases:
+        snippet = sample_text_by_code.get(code, snippet)
         if not snippet:
             continue
-        audio = synth(snippet)
+        id_audio = synth(_spoken_id(code), apply_normalization=False)
+        text_audio = synth(snippet, apply_normalization=True)
+        audio = np.concatenate([id_audio, pause_1s, text_audio]).astype("float32", copy=False)
         filename = f"case_{code}.wav"
         path = run_dir / filename
         # Write float32 PCM WAV.
         import soundfile as sf
 
         sf.write(path, audio, SAMPLE_RATE, subtype="FLOAT")
-        artifacts.append(DebugWavArtifact(label=f"{code}", filename=filename, code=code))
+        artifacts.append(DebugWavArtifact(label=f"{code}", filename=filename, code=code, text=snippet))
         overall_audio.append(audio)
+        overall_audio.append(between_cases)
 
     # Overall
     if overall_audio:
@@ -204,7 +239,7 @@ def run_debug_tts_wavs(
     import soundfile as sf
 
     sf.write(overall_path, combined, SAMPLE_RATE, subtype="FLOAT")
-    artifacts.insert(0, DebugWavArtifact(label="Overall", filename="overall.wav", code=None))
+    artifacts.insert(0, DebugWavArtifact(label="Overall", filename="overall.wav", code=None, text=None))
 
     manifest = {
         "run_id": run_id,

abogen/web/routes/settings.py

@@ -80,9 +80,17 @@ def update_settings() -> ResponseReturnValue:
         maximum=25,
     )
 
+    def _extract_checkbox(name: str, default: bool) -> bool:
+        values = form.getlist(name) if hasattr(form, "getlist") else []
+        if values:
+            return coerce_bool(values[-1], default)
+        if hasattr(form, "__contains__") and name in form:
+            return False
+        return default
+
     # Normalization settings
     for key in _NORMALIZATION_BOOLEAN_KEYS:
-        current[key] = coerce_bool(form.get(key), False)
+        current[key] = _extract_checkbox(key, bool(current.get(key, True)))
     for key in _NORMALIZATION_STRING_KEYS:
         current[key] = (form.get(key) or "").strip()
 
@@ -236,7 +244,8 @@ def download_debug_wav(run_id: str, filename: str) -> ResponseReturnValue:
     safe_name = (filename or "").strip()
     if not safe_run or not safe_name or "/" in safe_name or "\\" in safe_name:
         abort(404)
-    if not safe_name.lower().endswith(".wav") and safe_name != "manifest.json":
+    is_wav = safe_name.lower().endswith(".wav")
+    if not is_wav and safe_name != "manifest.json":
         abort(404)
 
     root = Path(current_app.config.get("OUTPUT_FOLDER") or get_user_output_path("web"))
@@ -247,4 +256,12 @@ def download_debug_wav(run_id: str, filename: str) -> ResponseReturnValue:
     expected_dir = (root / "debug" / safe_run).resolve()
     if expected_dir not in path.parents:
         abort(404)
-    return send_file(path, as_attachment=True, download_name=path.name)
+    wants_download = str(request.args.get("download") or "").strip().lower() in {"1", "true", "yes"}
+    mimetype = "audio/wav" if is_wav else "application/json"
+    # Inline playback should work for WAVs; allow explicit downloads via ?download=1.
+    return send_file(
+        path,
+        mimetype=mimetype,
+        as_attachment=wants_download,
+        download_name=path.name,
+    )

abogen/web/routes/utils/settings.py

@@ -47,6 +47,9 @@ _NORMALIZATION_BOOLEAN_KEYS = {
     "normalization_terminal",
     "normalization_phoneme_hints",
     "normalization_caps_quotes",
+    "normalization_currency",
+    "normalization_footnotes",
+    "normalization_internet_slang",
     "normalization_apostrophes_contractions",
     "normalization_apostrophes_plural_possessives",
     "normalization_apostrophes_sibilant_possessives",
@@ -58,8 +61,6 @@ _NORMALIZATION_BOOLEAN_KEYS = {
     "normalization_contraction_modal_would",
     "normalization_contraction_negation_not",
     "normalization_contraction_let_us",
-    "normalization_currency",
-    "normalization_footnotes",
 }
 
 _NORMALIZATION_STRING_KEYS = {
@@ -84,6 +85,9 @@ BOOLEAN_SETTINGS = {
     "normalization_terminal",
     "normalization_phoneme_hints",
     "normalization_caps_quotes",
+    "normalization_currency",
+    "normalization_footnotes",
+    "normalization_internet_slang",
     "normalization_apostrophes_contractions",
     "normalization_apostrophes_plural_possessives",
     "normalization_apostrophes_sibilant_possessives",
@@ -107,6 +111,7 @@ _NORMALIZATION_GROUPS = [
             {"key": "normalization_numbers", "label": "Convert grouped numbers to words"},
             {"key": "normalization_currency", "label": "Convert currency symbols ($10 → ten dollars)"},
             {"key": "normalization_titles", "label": "Expand titles and suffixes (Dr., St., Jr., …)"},
+            {"key": "normalization_internet_slang", "label": "Expand internet slang (pls → please)"},
             {"key": "normalization_footnotes", "label": "Remove footnote indicators ([1], [2])"},
             {"key": "normalization_terminal", "label": "Ensure sentences end with terminal punctuation"},
             {"key": "normalization_caps_quotes", "label": "Convert ALL CAPS dialogue inside quotes"},
@@ -195,10 +200,13 @@ def settings_defaults() -> Dict[str, Any]:
         "llm_prompt": llm_env_defaults.get("llm_prompt", DEFAULT_LLM_PROMPT),
         "llm_context_mode": llm_env_defaults.get("llm_context_mode", "sentence"),
         "normalization_numbers": True,
+        "normalization_currency": True,
+        "normalization_footnotes": True,
         "normalization_titles": True,
         "normalization_terminal": True,
         "normalization_phoneme_hints": True,
         "normalization_caps_quotes": True,
+        "normalization_internet_slang": False,
         "normalization_apostrophes_contractions": True,
         "normalization_apostrophes_plural_possessives": True,
         "normalization_apostrophes_sibilant_possessives": True,

abogen/web/templates/debug_wavs.html

@@ -7,10 +7,7 @@
   <h1 class="card__title">Debug WAVs</h1>
   <p class="tag">Run ID: <code>{{ run_id }}</code></p>
 
-  <div class="field field--stack">
+  <p class="hint">Each clip reads: ID, one second pause, then the reference text.</p>
-    <audio data-role="debug-audio" controls preload="none" style="width: 100%;"></audio>
-    <p class="hint">Click an ID to play its WAV. “Overall” is the concatenation of all samples.</p>
-  </div>
 
   {% if artifacts %}
   <div class="field field--wide">
@@ -18,15 +15,15 @@
     <ul>
       {% for item in artifacts %}
       <li>
-        <button
+        <div class="field field--stack" style="margin: 0;">
-          type="button"
+          <div>
-          class="button button--ghost"
+            <strong>{{ item.label }}</strong>
-          data-role="debug-play"
+            {% if item.text %}
-          data-audio-src="{{ item.url }}"
+              — <span class="muted">{{ item.text }}</span>
-        >
+            {% endif %}
-          {{ item.label }}
+          </div>
-        </button>
+          <audio controls preload="none" src="{{ item.url }}"></audio>
-        <a class="muted" href="{{ item.url }}" download>{{ item.filename }}</a>
+        </div>
       </li>
       {% endfor %}
     </ul>
@@ -37,25 +34,4 @@
     <a href="{{ url_for('settings.settings_page', _anchor='debug') }}" class="button button--ghost">Back to Settings</a>
   </div>
 </section>
-
-<script>
-  (function () {
-    const audio = document.querySelector('[data-role="debug-audio"]');
-    const buttons = Array.from(document.querySelectorAll('[data-role="debug-play"]'));
-    if (!audio || !buttons.length) {
-      return;
-    }
-
-    buttons.forEach((button) => {
-      button.addEventListener('click', () => {
-        const src = button.dataset.audioSrc;
-        if (!src) return;
-        if (audio.src !== src) {
-          audio.src = src;
-        }
-        audio.play();
-      });
-    });
-  })();
-</script>
 {% endblock %}

tests/conftest.py

@@ -1,9 +1,13 @@
 import importlib
 import sys
 
+import os
+
+import pytest
+
 # Ensure real optional dependencies are imported before tests that install stubs
-# so that available packages (like ebooklib, bs4) aren't replaced with dummy modules.
+# so that available packages (like ebooklib, bs4, numpy) aren't replaced with dummy modules.
-for module_name in ("ebooklib", "bs4"):
+for module_name in ("ebooklib", "bs4", "numpy"):
     if module_name not in sys.modules:
         try:
             importlib.import_module(module_name)
@@ -11,3 +15,25 @@ for module_name in ("ebooklib", "bs4"):
             # On environments without the optional dependency, downstream tests
             # will install lightweight stubs as needed.
             pass
+
+
+@pytest.fixture(autouse=True, scope="session")
+def _isolate_settings_dir(tmp_path_factory: pytest.TempPathFactory):
+    settings_dir = tmp_path_factory.mktemp("abogen-settings")
+    os.environ["ABOGEN_SETTINGS_DIR"] = str(settings_dir)
+
+    try:
+        from abogen.utils import get_user_settings_dir
+
+        get_user_settings_dir.cache_clear()
+    except Exception:
+        pass
+
+    try:
+        from abogen.normalization_settings import clear_cached_settings
+
+        clear_cached_settings()
+    except Exception:
+        pass
+
+    yield

tests/test_text_normalization.py

@@ -215,6 +215,40 @@ def test_decades_can_skip_expansion_when_disabled() -> None:
     assert "'90s" in normalized
 
 
+def test_abbreviated_decades_expand_to_spoken_form() -> None:
+    normalized = _normalize_text("She loved music from the '80s.")
+    assert "eighties" in normalized.lower()
+
+
+def test_currency_under_one_dollar_uses_cents() -> None:
+    normalized = _normalize_text("It cost $0.99.")
+    folded = normalized.lower().replace("-", " ")
+    assert "zero dollars" not in folded
+    assert "cents" in folded
+
+
+def test_iso_dates_use_locale_order_and_ordinals(monkeypatch) -> None:
+    monkeypatch.setenv("LC_TIME", "en_US.UTF-8")
+    normalized = _normalize_text("The date is 2025/12/15.")
+    folded = normalized.lower().replace("-", " ")
+    assert "december" in folded
+    assert "fifteenth" in folded
+
+
+def test_times_and_acronyms_do_not_say_dot() -> None:
+    normalized = _normalize_text("Meet at 5 p.m. near the U.S.A. border.")
+    folded = normalized.lower()
+    assert " dot " not in folded
+
+
+def test_internet_slang_expansion_is_configurable() -> None:
+    normalized = _normalize_text(
+        "pls knock before entering.",
+        normalization_overrides={"normalization_internet_slang": True},
+    )
+    assert "please" in normalized.lower()
+
+
 @pytest.mark.skipif(not SPACY_RESOLVER_AVAILABLE, reason="spaCy model unavailable")
 def test_spacy_disambiguates_it_has_from_context() -> None:
     normalized = _normalize_text("It's been a long time.")