From c880db53646ab9fd26417f4baf004ab44cc24e1a Mon Sep 17 00:00:00 2001
From: lingji-yidong <75744976+lingji-yidong@users.noreply.github.com>
Date: 星期五, 28 六月 2024 01:28:24 +0800
Subject: [PATCH] Fix: Return tuple ('', []) when char_list is empty to prevent ValueError (#1857)
---
examples/industrial_data_pretraining/seaco_paraformer/demo.py | 28 +++++++++++++++-------------
1 files changed, 15 insertions(+), 13 deletions(-)
diff --git a/examples/industrial_data_pretraining/seaco_paraformer/demo.py b/examples/industrial_data_pretraining/seaco_paraformer/demo.py
index c7f78d3..a88e880 100644
--- a/examples/industrial_data_pretraining/seaco_paraformer/demo.py
+++ b/examples/industrial_data_pretraining/seaco_paraformer/demo.py
@@ -5,24 +5,26 @@
from funasr import AutoModel
-model = AutoModel(model="iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
- # vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
- # punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
- # spk_model="iic/speech_campplus_sv_zh-cn_16k-common",
- )
+model = AutoModel(
+ model="iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
+ # vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+ # punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
+ # spk_model="iic/speech_campplus_sv_zh-cn_16k-common",
+)
# example1
-res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
- hotword='杈炬懇闄� 榄旀惌',
- # return_raw_text=True, # return raw text recognition results splited by space of equal length with timestamp
- # preset_spk_num=2, # preset speaker num for speaker cluster model
- # sentence_timestamp=True, # return sentence level information when spk_model is not given
- )
+res = model.generate(
+ input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
+ hotword="杈炬懇闄� 榄旀惌",
+ # return_raw_text=True, # return raw text recognition results splited by space of equal length with timestamp
+ # preset_spk_num=2, # preset speaker num for speaker cluster model
+ # sentence_timestamp=True, # return sentence level information when spk_model is not given
+)
print(res)
-'''
+"""
# tensor or numpy as input
# example2
import torchaudio
@@ -39,4 +41,4 @@
wav_file = os.path.join(model.model_path, "example/asr_example.wav")
speech, sample_rate = soundfile.read(wav_file)
res = model.generate(input=[speech], batch_size_s=300, is_final=True)
-'''
+"""
--
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