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Normalize German TTS abbreviations and units

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This commit is contained in:
Mikei386
2026-09-05 15:11:57 +02:00
parent 63e7a93ee4
commit cbc312257c
3 changed files with 20 additions and 8 deletions
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platform/docker/tts-gateway/test_tts_gateway.py
+5 -1
View File
@@ -122,11 +122,15 @@ class LanguageSegmentationTests(unittest.TestCase):
def test_qwen_speaks_temperature_and_time_ranges_with_bis(self):
spoken = gateway.prepare_for_qwen_speech(
"15°–23 °C, 93 %, ca. 12 mm, vor allem um 05–06 Uhr."
"15°–23 °C, 93 %, ca. 12 mm, v.a. um 05–06 Uhr, "
"Wind max. 16 km/h."
)
self.assertIn("15 bis 23 Grad", spoken)
self.assertIn("93 Prozent", spoken)
self.assertIn("circa 12 mm", spoken)
self.assertIn("vor allem", spoken)
self.assertIn("5 bis 6 Uhr", spoken)
self.assertIn("Wind maximal 16 Kilometer pro Stunde", spoken)
def test_qwen_keeps_prosody_punctuation(self):
spoken = gateway.prepare_for_qwen_speech(
platform/docker/tts-gateway/tts_gateway.py
+7 -1
View File
@@ -235,6 +235,9 @@ def _spoken_ipv4(match: re.Match) -> str:
def normalize_for_german_speech(text: str) -> str:
"""Turn common visual notation into unambiguous spoken German."""
text = re.sub(r"\bv\.\s*a\.", "vor allem", text, flags=re.IGNORECASE)
text = re.sub(r"\bca\.", "circa", text, flags=re.IGNORECASE)
text = re.sub(r"\bmax\.", "maximal", text, flags=re.IGNORECASE)
# Run these before the date rule: otherwise 192.168.1.5 could be partly
# interpreted as a visual date.
text = re.sub(
@@ -329,10 +332,13 @@ def prepare_for_qwen_speech(text: str) -> str:
text = re.sub(r"\[([^]]+)\]\([^)]+\)", r"\1", text)
text = re.sub(r"(?m)^\s{0,3}#{1,6}\s*", "", text)
text = re.sub(r"(?m)^\s*[-*+]\s+", "", text)
text = text.replace("_", " ").replace("/", ", ")
text = text.replace("_", " ")
text = text.replace("→", ". ").replace("←", ". ")
if DEFAULT_LANGUAGE == "de":
text = normalize_for_german_speech(text)
# Preserve slashes until after unit normalization so km/h becomes
# "Kilometer pro Stunde" instead of the broken "Kilometer, h".
text = text.replace("/", ", ")
text = "".join(
char for char in text
if unicodedata.category(char) not in {"So", "Cs"}