3bf986d08d
This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
278 lines
10 KiB
Python
Executable File
278 lines
10 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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from dataclasses import dataclass
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from typing import List, Optional
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import jinja2
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def get_args():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--total",
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type=int,
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default=1,
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help="Number of runners",
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)
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parser.add_argument(
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"--index",
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type=int,
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default=0,
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help="Index of the current runner",
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)
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return parser.parse_args()
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@dataclass
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class Model:
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model_name: str
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hf: str # huggingface space name
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ms: str # modelscope space name
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short_name: str
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cmd: str = ""
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def get_models():
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models = [
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Model(
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model_name="sherpa-onnx-whisper-tiny.en",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny",
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ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-whisper-tiny",
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short_name="vad-asr-en-whisper_tiny",
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cmd="""
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pushd $model_name
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mv -v tiny.en-encoder.int8.onnx ../whisper-encoder.onnx
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mv -v tiny.en-decoder.int8.onnx ../whisper-decoder.onnx
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mv -v tiny.en-tokens.txt ../tokens.txt
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Whisper tiny.en supporting English 英文/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-moonshine-tiny-en-int8",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny",
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ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-en-moonshine-tiny",
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short_name="vad-asr-en-moonshine_tiny",
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cmd="""
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pushd $model_name
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mv -v preprocess.onnx ../moonshine-preprocessor.onnx
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mv -v encode.int8.onnx ../moonshine-encoder.onnx
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mv -v uncached_decode.int8.onnx ../moonshine-uncached-decoder.onnx
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mv -v cached_decode.int8.onnx ../moonshine-cached-decoder.onnx
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mv -v tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Moonshine tiny supporting English 英文/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-ja-ko-cantonese-sense-voice",
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ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-en-jp-ko-cantonese-sense-voice",
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short_name="vad-asr-zh_en_ja_ko_cantonese-sense_voice_small",
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cmd="""
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pushd $model_name
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mv -v model.int8.onnx ../sense-voice.onnx
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mv -v tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/SenseVoice Small supporting English, Chinese, Japanese, Korean, Cantonese 中英日韩粤/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-paraformer-zh-2023-09-14",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer",
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ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer",
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short_name="vad-asr-zh_en-paraformer_large",
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cmd="""
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pushd $model_name
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mv -v model.int8.onnx ../paraformer.onnx
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mv -v tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Paraformer supporting Chinese, English 中英/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-paraformer-zh-small-2024-03-09",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small",
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ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-en-paraformer-small",
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short_name="vad-asr-zh_en-paraformer_small",
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cmd="""
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pushd $model_name
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mv -v model.int8.onnx ../paraformer.onnx
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mv -v tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Paraformer-small supporting Chinese, English 中英文/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-zipformer-gigaspeech-2023-12-12",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech",
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ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-en-zipformer-gigaspeech",
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short_name="vad-asr-en-zipformer_gigaspeech",
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cmd="""
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pushd $model_name
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mv encoder-epoch-30-avg-1.int8.onnx ../transducer-encoder.onnx
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mv decoder-epoch-30-avg-1.onnx ../transducer-decoder.onnx
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mv joiner-epoch-30-avg-1.int8.onnx ../transducer-joiner.onnx
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mv tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Zipformer supporting English 英语/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="icefall-asr-zipformer-wenetspeech-20230615",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech",
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ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-wenetspeech",
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short_name="vad-asr-zh-zipformer_wenetspeech",
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cmd="""
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pushd $model_name
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mv -v data/lang_char/tokens.txt ../
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mv -v exp/encoder-epoch-12-avg-4.int8.onnx ../transducer-encoder.onnx
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mv -v exp/decoder-epoch-12-avg-4.onnx ../transducer-decoder.onnx
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mv -v exp/joiner-epoch-12-avg-4.int8.onnx ../transducer-joiner.onnx
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Zipformer supporting Chinese 中文/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-ja-zipformer",
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ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-ja-zipformer",
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short_name="vad-asr-ja-zipformer_reazonspeech",
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cmd="""
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pushd $model_name
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mv encoder-epoch-99-avg-1.int8.onnx ../transducer-encoder.onnx
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mv decoder-epoch-99-avg-1.onnx ../transducer-decoder.onnx
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mv joiner-epoch-99-avg-1.int8.onnx ../transducer-joiner.onnx
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mv tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Zipformer supporting Japanese 日语/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-zipformer-thai-2024-06-20",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-th-zipformer",
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ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-th-zipformer",
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short_name="vad-asr-th-zipformer_gigaspeech2",
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cmd="""
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pushd $model_name
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mv encoder-epoch-12-avg-5.int8.onnx ../transducer-encoder.onnx
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mv decoder-epoch-12-avg-5.onnx ../transducer-decoder.onnx
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mv joiner-epoch-12-avg-5.int8.onnx ../transducer-joiner.onnx
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mv tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Zipformer supporting Thai 泰语/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech",
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ms="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-telespeech",
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short_name="vad-asr-zh-telespeech",
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cmd="""
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pushd $model_name
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mv model.int8.onnx ../telespeech.onnx
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mv tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/TeleSpeech-ASR supporting Chinese 多种中文方言/g' ../index.html
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc",
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ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-multi-lang-dophin-ctc",
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short_name="vad-asr-multi_lang-dolphin_ctc",
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cmd="""
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pushd $model_name
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mv model.int8.onnx ../dolphin.onnx
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mv tokens.txt ../
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popd
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rm -rf $model_name
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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
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git diff
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""",
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),
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Model(
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model_name="sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03",
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hf="k2-fsa/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc",
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ms="csukuangfj/web-assembly-vad-asr-sherpa-onnx-zh-zipformer-ctc",
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short_name="vad-asr-zh-zipformer-ctc",
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cmd="""
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pushd $model_name
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mv model.int8.onnx ../zipformer-ctc.onnx
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mv tokens.txt ../
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popd
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rm -rf $model_name
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sed -i.bak 's/Zipformer/Zipformer CTC supporting Chinese 中文/g' ../index.html
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git diff
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""",
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),
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]
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return models
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def main():
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args = get_args()
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index = args.index
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total = args.total
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assert 0 <= index < total, (index, total)
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all_model_list = get_models()
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num_models = len(all_model_list)
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num_per_runner = num_models // total
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if num_per_runner <= 0:
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raise ValueError(f"num_models: {num_models}, num_runners: {total}")
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start = index * num_per_runner
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end = start + num_per_runner
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remaining = num_models - args.total * num_per_runner
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print(f"{index}/{total}: {start}-{end}/{num_models}")
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d = dict()
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d["model_list"] = all_model_list[start:end]
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if index < remaining:
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s = args.total * num_per_runner + index
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d["model_list"].append(all_model_list[s])
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print(f"{s}/{num_models}")
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filename_list = [
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"./run-vad-asr.sh",
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]
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for filename in filename_list:
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environment = jinja2.Environment()
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with open(f"{filename}.in") as f:
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s = f.read()
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template = environment.from_string(s)
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s = template.render(**d)
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with open(filename, "w") as f:
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print(s, file=f)
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if __name__ == "__main__":
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main()
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