From 0c7b52fb45ac4a25e1ce5c8845b2005b63ad2e5a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=BF=97=E6=B5=A9?= Date: Thu, 9 Mar 2023 14:14:21 +0800 Subject: [PATCH] modify unit test for speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch --- .../infer.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/egs_modelscope/speaker_verification/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch/infer.py b/egs_modelscope/speaker_verification/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch/infer.py index 338dda6da..1fd9dc614 100644 --- a/egs_modelscope/speaker_verification/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch/infer.py +++ b/egs_modelscope/speaker_verification/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch/infer.py @@ -15,11 +15,11 @@ if __name__ == '__main__': enroll = rec_result["spk_embedding"] # for local file use "spk_embedding" as key - rec_result = inference_sv_pipline(audio_in='sv_example_same.wav') + rec_result = inference_sv_pipline(audio_in='example/sv_example_same.wav') same = rec_result["spk_embedding"] import soundfile - wav = soundfile.read('sv_example_enroll.wav')[0] + wav = soundfile.read('example/sv_example_enroll.wav')[0] # for raw inputs use "spk_embedding" as key spk_embedding = inference_sv_pipline(audio_in=wav)["spk_embedding"]