From 6013d3c4a9afa81f8f7bdca4e3d9fe84639eb39b Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期五, 28 四月 2023 16:38:03 +0800
Subject: [PATCH] Merge pull request #441 from alibaba-damo-academy/dev_lhn
---
egs_modelscope/speaker_verification/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch/infer.py | 4 ++--
1 files 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 338dda6..1fd9dc6 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 @@
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"]
--
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