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fix: use full onnx model with 8 threads for fast local TTS 

Benchmark: short=0.37s, long=1.06s with 8 CPU threads.
GPU not available in pip sherpa-onnx, CPU is fast enough.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
hailin 2026-04-05 22:53:59 -07:00
parent c2727d7e08
commit 83cdf3396d
1 changed files with 1 additions and 1 deletions
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2
backend/main/xiaozhi-server/core/providers/tts/sherpa_tts.py
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@ -23,7 +23,7 @@ class TTSProvider(TTSProviderBase):
if not os.path.exists(model_file): if not os.path.exists(model_file):
model_file = f"{model_dir}/model.onnx" model_file = f"{model_dir}/model.onnx"
num_threads = int(config.get("num_threads", 4)) num_threads = int(config.get("num_threads", 8))
tts_config = sherpa_onnx.OfflineTtsConfig( tts_config = sherpa_onnx.OfflineTtsConfig(
model=sherpa_onnx.OfflineTtsModelConfig( model=sherpa_onnx.OfflineTtsModelConfig(