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Problem of cosine similarity computing for speaker verification
python verification.py --model_name ecapa_tdnn --wav1 vox1_data/David_Faustino/hn8GyCJIfLM_0000012.wav --wav2 vox1_data/Josh_Gad/HXUqYaOwrxA_0000015.wav 2023-08-03 18:48:40 | INFO | fairseq.tasks.text_to_speech | Please install tensorboardX: pip install tensorboardX The similarity score between two audios is 0.9880 (-1.0, 1.0).
When I tried the script provided in readme, I got the similarity of 0.9880, which is far from the 0.2053 in readme and no help to speaker verification task. How to reproduce the result in readme file?
Did you set the checkpoint?