From 0eacba96a12d5c0dea89c4533ca68b40decd8e9f Mon Sep 17 00:00:00 2001
From: Yabin Li <wucong.lyb@alibaba-inc.com>
Date: 星期四, 06 四月 2023 10:53:13 +0800
Subject: [PATCH] Merge branch 'main' into main
---
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-offline/infer.py | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-offline/infer.py b/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-offline/infer.py
index e855032..96db5f9 100644
--- a/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-offline/infer.py
+++ b/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-offline/infer.py
@@ -23,7 +23,7 @@
batch_size=1
)
audio_in = os.path.join(split_dir, "wav.{}.scp".format(idx))
- inference_pipline(audio_in=audio_in)
+ inference_pipline(audio_in=audio_in, param_dict={"decoding_model": "offline"})
def modelscope_infer(params):
@@ -75,7 +75,7 @@
# If text exists, compute CER
text_in = os.path.join(params["data_dir"], "text")
if os.path.exists(text_in):
- text_proc_file = os.path.join(best_recog_path, "token")
+ text_proc_file = os.path.join(best_recog_path, "text")
compute_wer(text_in, text_proc_file, os.path.join(best_recog_path, "text.cer"))
--
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