From 8a8d60d5786510ec7b1dd4f622e848de8a15f8a8 Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期一, 15 一月 2024 16:36:51 +0800
Subject: [PATCH] replace NULL for onnxruntime/src
---
examples/industrial_data_pretraining/paraformer_streaming/demo.py | 16 ++++++----------
1 files changed, 6 insertions(+), 10 deletions(-)
diff --git a/examples/industrial_data_pretraining/paraformer_streaming/demo.py b/examples/industrial_data_pretraining/paraformer_streaming/demo.py
index 9923a04..8f7eef3 100644
--- a/examples/industrial_data_pretraining/paraformer_streaming/demo.py
+++ b/examples/industrial_data_pretraining/paraformer_streaming/demo.py
@@ -9,11 +9,9 @@
encoder_chunk_look_back = 4 #number of chunks to lookback for encoder self-attention
decoder_chunk_look_back = 1 #number of encoder chunks to lookback for decoder cross-attention
-model = AutoModel(model="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online", model_revison="v2.0.0")
+model = AutoModel(model="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online", model_revision="v2.0.2")
cache = {}
res = model(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
- cache=cache,
- is_final=True,
chunk_size=chunk_size,
encoder_chunk_look_back=encoder_chunk_look_back,
decoder_chunk_look_back=decoder_chunk_look_back,
@@ -24,18 +22,16 @@
import soundfile
import os
-speech, sample_rate = soundfile.read(os.path.expanduser('~')+
- "/.cache/modelscope/hub/damo/"+
- "speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/"+
- "example/asr_example.wav")
+wav_file = os.path.join(model.model_path, "example/asr_example.wav")
+speech, sample_rate = soundfile.read(wav_file)
chunk_stride = chunk_size[1] * 960 # 600ms銆�480ms
cache = {}
-
-for i in range(int(len((speech)-1)/chunk_stride+1)):
+total_chunk_num = int(len((speech)-1)/chunk_stride+1)
+for i in range(total_chunk_num):
speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride]
- is_final = i == int(len((speech)-1)/chunk_stride+1)
+ is_final = i == total_chunk_num - 1
res = model(input=speech_chunk,
cache=cache,
is_final=is_final,
--
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