switching to high quality piper tts and added label translations

2026-01-29 23:48:19 +01:00
commit d80c619df9
3934 changed files with 1451600 additions and 0 deletions
@@ -0,0 +1,53 @@
+"""Phonemization with espeak-ng."""
+
+import re
+import unicodedata
+from pathlib import Path
+from typing import Union
+
+_DIR = Path(__file__).parent
+ESPEAK_DATA_DIR = _DIR / "espeak-ng-data"
+
+
+class EspeakPhonemizer:
+    """Phonemizer that uses espeak-ng."""
+
+    def __init__(self, espeak_data_dir: Union[str, Path] = ESPEAK_DATA_DIR) -> None:
+        """Initialize phonemizer."""
+        from . import espeakbridge  # avoid circular import
+
+        espeakbridge.initialize(str(espeak_data_dir))
+
+    def phonemize(self, voice: str, text: str) -> list[list[str]]:
+        """Text to phonemes grouped by sentence."""
+        from . import espeakbridge  # avoid circular import
+
+        espeakbridge.set_voice(voice)
+
+        all_phonemes: list[list[str]] = []
+        sentence_phonemes: list[str] = []
+
+        clause_phonemes = espeakbridge.get_phonemes(text)
+        for phonemes_str, terminator_str, end_of_sentence in clause_phonemes:
+            # Filter out (lang) switch (flags).
+            # These surround words from languages other than the current voice.
+            phonemes_str = re.sub(r"\([^)]+\)", "", phonemes_str)
+
+            # Keep punctuation even though it's not technically a phoneme
+            phonemes_str += terminator_str
+            if terminator_str in (",", ":", ";"):
+                # Not a sentence boundary
+                phonemes_str += " "
+
+            # Decompose phonemes into UTF-8 codepoints.
+            # This separates accent characters into separate "phonemes".
+            sentence_phonemes.extend(list(unicodedata.normalize("NFD", phonemes_str)))
+
+            if end_of_sentence:
+                all_phonemes.append(sentence_phonemes)
+                sentence_phonemes = []
+
+        if sentence_phonemes:
+            all_phonemes.append(sentence_phonemes)
+
+        return all_phonemes