mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
import unittest
|
|
|
|
import numpy as np
|
|
from modelscope.pipelines import pipeline
|
|
from modelscope.utils.constant import Tasks
|
|
from modelscope.utils.logger import get_logger
|
|
|
|
logger = get_logger()
|
|
|
|
|
|
class TestXVectorInferencePipelines(unittest.TestCase):
|
|
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'
|
|
)
|
|
# 提取不同句子的说话人嵌入码
|
|
rec_result = inference_sv_pipline(
|
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_enroll.wav')
|
|
enroll = rec_result["spk_embedding"]
|
|
|
|
rec_result = inference_sv_pipline(
|
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_same.wav')
|
|
same = rec_result["spk_embedding"]
|
|
|
|
rec_result = inference_sv_pipline(
|
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_different.wav')
|
|
different = rec_result["spk_embedding"]
|
|
|
|
# 对相同的说话人计算余弦相似度
|
|
sv_threshold = 0.9465
|
|
same_cos = np.sum(enroll * same) / (np.linalg.norm(enroll) * np.linalg.norm(same))
|
|
same_cos = max(same_cos - sv_threshold, 0.0) / (1.0 - sv_threshold) * 100.0
|
|
logger.info("Similarity: {}".format(same_cos))
|
|
|
|
# 对不同的说话人计算余弦相似度
|
|
diff_cos = np.sum(enroll * different) / (np.linalg.norm(enroll) * np.linalg.norm(different))
|
|
diff_cos = max(diff_cos - sv_threshold, 0.0) / (1.0 - sv_threshold) * 100.0
|
|
logger.info("Similarity: {}".format(diff_cos))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|