From 3a4281f4959534b1bf5d01acf0085f4f8e6f2ec8 Mon Sep 17 00:00:00 2001
From: wuhongsheng <664116298@qq.com>
Date: 星期五, 05 七月 2024 00:55:32 +0800
Subject: [PATCH] 优化speakid和语句匹配逻辑，部分解决speakid不从0递增问题 (#1870)
---
runtime/python/onnxruntime/demo_paraformer_offline.py | 6 +++---
1 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/runtime/python/onnxruntime/demo_paraformer_offline.py b/runtime/python/onnxruntime/demo_paraformer_offline.py
index bc8355b..3fe6d0a 100644
--- a/runtime/python/onnxruntime/demo_paraformer_offline.py
+++ b/runtime/python/onnxruntime/demo_paraformer_offline.py
@@ -2,14 +2,14 @@
from pathlib import Path
model_dir = "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
-model_dir = "damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
-model = Paraformer(model_dir, batch_size=1, quantize=True)
+# model_dir = "damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
+model = Paraformer(model_dir, batch_size=1, quantize=False)
# model = Paraformer(model_dir, batch_size=1, device_id=0) # gpu
# when using paraformer-large-vad-punc model, you can set plot_timestamp_to="./xx.png" to get figure of alignment besides timestamps
# model = Paraformer(model_dir, batch_size=1, plot_timestamp_to="test.png")
-wav_path = ['{}/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav'.format(Path.home())]
+wav_path = ["{}/.cache/modelscope/hub/{}/example/asr_example.wav".format(Path.home(), model_dir)]
result = model(wav_path)
print(result)
--
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