generate-vad-asr.py
10.2 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
#!/usr/bin/env python3
import argparse
from dataclasses import dataclass
from typing import List, Optional
import jinja2
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--total",
type=int,
default=1,
help="Number of runners",
)
parser.add_argument(
"--index",
type=int,
default=0,
help="Index of the current runner",
)
return parser.parse_args()
@dataclass
class Model:
model_name: str
hf: str # huggingface space name
ms: str # modelscope space name
short_name: str
cmd: str = ""
def get_models():
models = [
Model(
model_name="sherpa-onnx-whisper-tiny.en",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny",
ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny",
short_name="vad-asr-en-whisper_tiny",
cmd="""
pushd $model_name
mv -v tiny.en-encoder.int8.onnx ../whisper-encoder.onnx
mv -v tiny.en-decoder.int8.onnx ../whisper-decoder.onnx
mv -v tiny.en-tokens.txt ../tokens.txt
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Whisper tiny.en supporting English 英文/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-moonshine-tiny-en-int8",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny",
ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny",
short_name="vad-asr-en-moonshine_tiny",
cmd="""
pushd $model_name
mv -v preprocess.onnx ../moonshine-preprocessor.onnx
mv -v encode.int8.onnx ../moonshine-encoder.onnx
mv -v uncached_decode.int8.onnx ../moonshine-uncached-decoder.onnx
mv -v cached_decode.int8.onnx ../moonshine-cached-decoder.onnx
mv -v tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Moonshine tiny supporting English 英文/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-ja-ko-cantonese-sense-voice",
ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-en-jp-ko-cantonese-sense-voice",
short_name="vad-asr-zh_en_ja_ko_cantonese-sense_voice_small",
cmd="""
pushd $model_name
mv -v model.int8.onnx ../sense-voice.onnx
mv -v tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/SenseVoice Small supporting English, Chinese, Japanese, Korean, Cantonese 中英日韩粤/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-paraformer-zh-2023-09-14",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer",
ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer",
short_name="vad-asr-zh_en-paraformer_large",
cmd="""
pushd $model_name
mv -v model.int8.onnx ../paraformer.onnx
mv -v tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Paraformer supporting Chinese, English 中英/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-paraformer-zh-small-2024-03-09",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small",
ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small",
short_name="vad-asr-zh_en-paraformer_small",
cmd="""
pushd $model_name
mv -v model.int8.onnx ../paraformer.onnx
mv -v tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Paraformer-small supporting Chinese, English 中英文/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-zipformer-gigaspeech-2023-12-12",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech",
ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech",
short_name="vad-asr-en-zipformer_gigaspeech",
cmd="""
pushd $model_name
mv encoder-epoch-30-avg-1.int8.onnx ../transducer-encoder.onnx
mv decoder-epoch-30-avg-1.onnx ../transducer-decoder.onnx
mv joiner-epoch-30-avg-1.int8.onnx ../transducer-joiner.onnx
mv tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Zipformer supporting English 英语/g' ../index.html
git diff
""",
),
Model(
model_name="icefall-asr-zipformer-wenetspeech-20230615",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech",
ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech",
short_name="vad-asr-zh-zipformer_wenetspeech",
cmd="""
pushd $model_name
mv -v data/lang_char/tokens.txt ../
mv -v exp/encoder-epoch-12-avg-4.int8.onnx ../transducer-encoder.onnx
mv -v exp/decoder-epoch-12-avg-4.onnx ../transducer-decoder.onnx
mv -v exp/joiner-epoch-12-avg-4.int8.onnx ../transducer-joiner.onnx
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Zipformer supporting Chinese 中文/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-ja-zipformer",
ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-ja-zipformer",
short_name="vad-asr-ja-zipformer_reazonspeech",
cmd="""
pushd $model_name
mv encoder-epoch-99-avg-1.int8.onnx ../transducer-encoder.onnx
mv decoder-epoch-99-avg-1.onnx ../transducer-decoder.onnx
mv joiner-epoch-99-avg-1.int8.onnx ../transducer-joiner.onnx
mv tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Zipformer supporting Japanese 日语/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-zipformer-thai-2024-06-20",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-th-zipformer",
ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-th-zipformer",
short_name="vad-asr-th-zipformer_gigaspeech2",
cmd="""
pushd $model_name
mv encoder-epoch-12-avg-5.int8.onnx ../transducer-encoder.onnx
mv decoder-epoch-12-avg-5.onnx ../transducer-decoder.onnx
mv joiner-epoch-12-avg-5.int8.onnx ../transducer-joiner.onnx
mv tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Zipformer supporting Thai 泰语/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech",
ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech",
short_name="vad-asr-zh-telespeech",
cmd="""
pushd $model_name
mv model.int8.onnx ../telespeech.onnx
mv tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/TeleSpeech-ASR supporting Chinese 多种中文方言/g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc",
ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc",
short_name="vad-asr-multi_lang-dolphin_ctc",
cmd="""
pushd $model_name
mv model.int8.onnx ../dolphin.onnx
mv tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's%Zipformer%<a href="https://github.com/DataoceanAI/Dolphin">Dolphin</a> (多种中文方言及非常多种语言)%g' ../index.html
git diff
""",
),
Model(
model_name="sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03",
hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc",
ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc",
short_name="vad-asr-zh-zipformer-ctc",
cmd="""
pushd $model_name
mv model.int8.onnx ../zipformer-ctc.onnx
mv tokens.txt ../
popd
rm -rf $model_name
sed -i.bak 's/Zipformer/Zipformer CTC supporting Chinese 中文/g' ../index.html
git diff
""",
),
]
return models
def main():
args = get_args()
index = args.index
total = args.total
assert 0 <= index < total, (index, total)
all_model_list = get_models()
num_models = len(all_model_list)
num_per_runner = num_models // total
if num_per_runner <= 0:
raise ValueError(f"num_models: {num_models}, num_runners: {total}")
start = index * num_per_runner
end = start + num_per_runner
remaining = num_models - args.total * num_per_runner
print(f"{index}/{total}: {start}-{end}/{num_models}")
d = dict()
d["model_list"] = all_model_list[start:end]
if index < remaining:
s = args.total * num_per_runner + index
d["model_list"].append(all_model_list[s])
print(f"{s}/{num_models}")
filename_list = [
"./run-vad-asr.sh",
]
for filename in filename_list:
environment = jinja2.Environment()
with open(f"{filename}.in") as f:
s = f.read()
template = environment.from_string(s)
s = template.render(**d)
with open(filename, "w") as f:
print(s, file=f)
if __name__ == "__main__":
main()