From 6e69d784e4814c3dbe35e8f70c6cf4b920c8b20b Mon Sep 17 00:00:00 2001
From: 天地 <tiandiweizun@gmail.com>
Date: 星期三, 19 三月 2025 23:10:13 +0800
Subject: [PATCH] 1. bug fix:list(mean)和list(var)，由于mean和var是numpy，导致写入到文件的格式错误，参考上面的话，大概率是list(mean.tolist())，其实外层list没有必要 (#2437)
---
tests/test_sv_inference_pipeline.py | 36 +++++++++++++++++++++++-------------
1 files changed, 23 insertions(+), 13 deletions(-)
diff --git a/tests/test_sv_inference_pipeline.py b/tests/test_sv_inference_pipeline.py
index 60ece2d..76754ab 100644
--- a/tests/test_sv_inference_pipeline.py
+++ b/tests/test_sv_inference_pipeline.py
@@ -12,27 +12,37 @@
def test_funasr_path(self):
import funasr
import os
+
logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__))
def test_inference_pipeline(self):
inference_sv_pipline = pipeline(
task=Tasks.speaker_verification,
- model='damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch'
+ model="damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch",
)
# the same speaker
- rec_result = inference_sv_pipline(audio_in=(
- 'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_enroll.wav',
- 'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_same.wav'))
- assert abs(rec_result["scores"][0]-0.85) < 0.1 and abs(rec_result["scores"][1]-0.14) < 0.1
- logger.info(f"Similarity {rec_result['scores']}")
-
- # different speaker
- rec_result = inference_sv_pipline(audio_in=(
- 'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_enroll.wav',
- 'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_different.wav'))
- assert abs(rec_result["scores"][0]-0.0) < 0.1 and abs(rec_result["scores"][1]-1.0) < 0.1
+ rec_result = inference_sv_pipline(
+ audio_in=(
+ "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_enroll.wav",
+ "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_same.wav",
+ )
+ )
+ assert (
+ abs(rec_result["scores"][0] - 0.85) < 0.1 and abs(rec_result["scores"][1] - 0.14) < 0.1
+ )
logger.info(f"Similarity {rec_result['scores']}")
-if __name__ == '__main__':
+ # different speaker
+ rec_result = inference_sv_pipline(
+ audio_in=(
+ "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_enroll.wav",
+ "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_different.wav",
+ )
+ )
+ assert abs(rec_result["scores"][0] - 0.0) < 0.1 and abs(rec_result["scores"][1] - 1.0) < 0.1
+ logger.info(f"Similarity {rec_result['scores']}")
+
+
+if __name__ == "__main__":
unittest.main()
--
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