first commit

2026-09-25 06:47:14 +02:00
commit 6f198c3d51
9 changed files with 1100 additions and 0 deletions
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+#!/usr/bin/env python3
+"""
+TTS-Modul: Liest JSON-Input und gibt Audio aus (Thorsten Emotional Voice).
+
+JSON-Input Format:
+{
+    "text": "Der zu sprechende Text",
+    "emotion": "neutral",          // optional: amused|angry|disgusted|drunk|neutral|sleepy|surprised|whisper
+    "speaker_id": 4,               // optional: 0-7 (überschreibt emotion)
+    "output_file": "output.wav"    // optional: Ausgabedatei
+}
+
+Aufruf:
+    python tts_module.py                        # liest data/tts_input.json
+    python tts_module.py input.json             # liest angegebene JSON-Datei
+    echo '{"text":"Hallo"}' | python tts_module.py  # liest von stdin
+"""
+
+import sys
+import json
+import wave
+import os
+from pathlib import Path
+
+# Pfade relativ zu diesem Script
+SCRIPT_DIR = Path(__file__).parent
+DEFAULT_INPUT  = SCRIPT_DIR / "data" / "tts_input.json"
+DEFAULT_OUTPUT = SCRIPT_DIR / "data" / "output.wav"
+
+MODEL_PATH  = SCRIPT_DIR / "de_DE-thorsten_emotional-medium.onnx"
+CONFIG_PATH = SCRIPT_DIR / "de_DE-thorsten_emotional-medium.onnx.json"
+
+# Emotion-Name → Speaker-ID
+EMOTION_MAP = {
+    "amused":    0,
+    "angry":     1,
+    "disgusted": 2,
+    "drunk":     3,
+    "neutral":   4,
+    "sleepy":    5,
+    "surprised": 6,
+    "whisper":   7,
+}
+
+def load_input(source: str | None = None) -> dict:
+    """Lädt JSON-Input aus Datei, stdin oder Standardpfad."""
+    if source:
+        with open(source, "r", encoding="utf-8") as f:
+            return json.load(f)
+    # Prüfe ob stdin Daten hat (z.B. Pipe)
+    if not sys.stdin.isatty():
+        return json.load(sys.stdin)
+    # Standard: data/tts_input.json
+    with open(DEFAULT_INPUT, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+def synthesize(data: dict) -> str:
+    """Synthetisiert Text und gibt den Pfad zur Ausgabedatei zurück."""
+    from piper import PiperVoice
+    from piper.voice import SynthesisConfig
+
+    text = data.get("text", "")
+    if not text:
+        raise ValueError("Kein 'text' im JSON angegeben.")
+
+    # Speaker-ID bestimmen: direkt oder über Emotion-Name
+    if "speaker_id" in data:
+        speaker_id = int(data["speaker_id"])
+    else:
+        emotion = data.get("emotion", "neutral").lower()
+        speaker_id = EMOTION_MAP.get(emotion, EMOTION_MAP["neutral"])
+
+    output_file = str(data.get("output_file", DEFAULT_OUTPUT))
+    os.makedirs(os.path.dirname(output_file) or ".", exist_ok=True)
+
+    print(f"[TTS] Lade Modell...", flush=True)
+    voice = PiperVoice.load(str(MODEL_PATH), str(CONFIG_PATH))
+    syn_config = SynthesisConfig(speaker_id=speaker_id)
+
+    emotion_name = next((k for k, v in EMOTION_MAP.items() if v == speaker_id), str(speaker_id))
+    print(f"[TTS] Synthesisiere: '{text[:60]}...' | Emotion: {emotion_name} (ID {speaker_id})", flush=True)
+
+    with wave.open(output_file, "wb") as wav_file:
+        wav_file.setnchannels(1)
+        wav_file.setsampwidth(2)
+        wav_file.setframerate(voice.config.sample_rate)
+        for chunk in voice.synthesize(text, syn_config):
+            wav_file.writeframes(chunk.audio_int16_bytes)
+
+    print(f"[TTS] Audio gespeichert: {output_file}", flush=True)
+    return output_file
+
+def main():
+    source = sys.argv[1] if len(sys.argv) > 1 else None
+    try:
+        data = load_input(source)
+        output_path = synthesize(data)
+        # Optional: Audio automatisch abspielen
+        if data.get("autoplay", False):
+            os.system(f"aplay '{output_path}' 2>/dev/null || paplay '{output_path}' 2>/dev/null")
+    except FileNotFoundError as e:
+        print(f"[TTS] Fehler: Datei nicht gefunden – {e}", file=sys.stderr)
+        sys.exit(1)
+    except Exception as e:
+        print(f"[TTS] Fehler: {e}", file=sys.stderr)
+        sys.exit(1)
+
+if __name__ == "__main__":
+    main()