sherpa-onnx-apk / generate-asr.py
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notes about model license
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#!/usr/bin/env python3
import os
import re
from pathlib import Path
from typing import List
BASE_URL = "https://huggingface.co/csukuangfj/sherpa-onnx-apk/resolve/main/"
from dataclasses import dataclass
@dataclass
class APK:
major: int
minor: int
patch: int
arch: str
short_name: str
def __init__(self, s):
# sherpa-onnx-1.9.23-x86_64-asr-en-zipformer2.apk
# sherpa-onnx-1.9.23-arm64-v8a-asr-zh-zipformer2.apk
s = str(s)[len("asr/") :]
split = s.split("-")
self.major, self.minor, self.patch = list(map(int, split[2].split(".")))
self.arch = split[3]
self.lang = split[5]
self.short_name = split[6]
if "arm" in s:
self.arch += "-" + split[4]
self.lang = split[6]
self.short_name = split[7]
if "armeabi" in self.arch:
self.arch = "y" + self.arch
if "arm64" in self.arch:
self.arch = "z" + self.arch
if "small" in self.short_name:
self.short_name = "zzz" + self.short_name
def sort_by_apk(x):
x = APK(x)
return (x.major, x.minor, x.patch, x.arch, x.lang, x.short_name)
def generate_url(files: List[str]) -> List[str]:
ans = []
base = BASE_URL
for f in files:
ans.append(base + str(f))
return ans
def get_all_files(d: str, suffix: str) -> List[str]:
ans = sorted(Path(d).glob(suffix), key=sort_by_apk, reverse=True)
return list(map(lambda x: BASE_URL + str(x), ans))
def to_file(filename: str, files: List[str]):
content = r"""
<h1> APKs for streaming speech recognition </h1>
This page lists the <strong>streaming speech recognition</strong> APKs for <a href="http://github.com/k2-fsa/sherpa-onnx">sherpa-onnx</a>,
one of the deployment frameworks of <a href="https://github.com/k2-fsa">the Next-gen Kaldi project</a>.
<br/>
The name of an APK has the following rule:
<ul>
<li> sherpa-onnx-{version}-{arch}-asr-{lang}-{model}.apk
</ul>
where
<ul>
<li> version: It specifies the current version, e.g., 1.9.23
<li> arch: The architecture targeted by this APK, e.g., arm64-v8a, armeabi-v7a, x86_64, x86
<li> lang: The lang of the model used in the APK, e.g., en for English, zh for Chinese
<li> model: The name of the model used in the APK
</ul>
<br/>
You can download all supported models from
<a href="https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models">https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models</a>
<br/>
<br/>
<strong>Note about the license</strong> The code of Next-gen Kaldi is using
<a href="https://www.apache.org/licenses/LICENSE-2.0">Apache-2.0 license</a>. However,
we support models from different frameworks. Please check the license of your selected model.
<br/>
<br/>
<!--
see https://www.tablesgenerator.com/html_tables#
-->
<style type="text/css">
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<table class="tg">
<thead>
<tr>
<th class="tg-0pky">APK</th>
<th class="tg-0lax">Comment</th>
<th class="tg-0pky">Model</th>
</tr>
</thead>
<tbody>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-asr-bilingual_zh_en-zipformer.apk</td>
<td class="tg-0lax">It supports both English and Chinese.</td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2">sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2</a></td>
</tr>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-asr-ko-zipformer.apk</td>
<td class="tg-0lax">It supports only Korean. See also <a href="https://github.com/k2-fsa/icefall/pull/1651">https://github.com/k2-fsa/icefall/pull/1651</a></td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-korean-2024-06-16.tar.bz2">sherpa-onnx-streaming-zipformer-korean-2024-06-16.tar.bz2</a></td>
</tr>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-asr-en-nemo_ctc_80ms.apk</td>
<td class="tg-0lax">It supports only English. It is converted from <a href="https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_fastconformer_hybrid_large_streaming_80ms">STT En FastConformer Hybrid Transducer-CTC Large Streaming 80ms</a> from <a href="https://github.com/NVIDIA/NeMo/">NVIDIA/NeMo</a>. Note that only the CTC branch is used.</td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-80ms.tar.bz2">sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-80ms.tar.bz2</a></td>
</tr>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-asr-en-nemo_ctc_480ms.apk</td>
<td class="tg-0lax">It supports only English. It is converted from <a href="https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_fastconformer_hybrid_large_streaming_480ms">STT En FastConformer Hybrid Transducer-CTC Large Streaming 480ms</a> from <a href="https://github.com/NVIDIA/NeMo/">NVIDIA/NeMo</a>. Note that only the CTC branch is used.</td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-480ms.tar.bz2">sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-480ms.tar.bz2</a></td>
</tr>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-asr-en-nemo_ctc_1040ms.apk</td>
<td class="tg-0lax">It supports only English. It is converted from <a href="https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_fastconformer_hybrid_large_streaming_1040ms">STT En FastConformer Hybrid Transducer-CTC Large Streaming 1040ms</a> from <a href="https://github.com/NVIDIA/NeMo/">NVIDIA/NeMo</a>. Note that only the CTC branch is used.</td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-1040ms.tar.bz2">sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-1040ms.tar.bz2</a></td>
</tr>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-asr-fr-zipformer.apk</td>
<td class="tg-0lax"><span style="font-weight:400;font-style:normal">It supports only French.</span></td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-fr-2023-04-14.tar.bz2">sherpa-onnx-streaming-zipformer-fr-2023-04-14.tar.bz2</a></td>
</tr>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-asr-zh-zipformer2.apk</td>
<td class="tg-0lax">It supports only Chinese.</td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/icefall-asr-zipformer-streaming-wenetspeech-20230615.tar.bz2">icefall-asr-zipformer-streaming-wenetspeech-20230615.tar.bz2</a></td>
</tr>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.zz-arm64-v8a-asr-zh-small_zipformer.apk</td>
<td class="tg-0lax">It supports only Chinese.<br>It uses the smallest zipformer and runs<br>super fast, though its accuracy is not that good.</td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23.tar.bz2">sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23.tar.bz2</a></td>
</tr>
<tr>
<td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-asr-en-small_zipformer.apk</td>
<td class="tg-0lax">It suppors only English.<br>It uses a very small zipformer and runs<br>super fast, though its accuracy is not that good.</td>
<td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2">sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2</a></td>
</tr>
</tbody>
</table>
<br/>
<br/>
<div/>
"""
if "-cn" not in filename:
content += """
For Chinese users, please <a href="./apk-cn.html">visit this address</a>,
which replaces <a href="huggingface.co">huggingface.co</a> with <a href="hf-mirror.com">hf-mirror.com</a>
<br/>
<br/>
中国用户, 请访问<a href="./apk-cn.html">这个地址</a>
<br/>
<br/>
"""
with open(filename, "w") as f:
print(content, file=f)
for x in files:
name = x.rsplit("/", maxsplit=1)[-1]
print(f'<a href="{x}" />{name}<br/>', file=f)
def main():
apk = get_all_files("asr", suffix="*.apk")
to_file("./apk-asr.html", apk)
# for Chinese users
apk2 = []
for a in apk:
a = a.replace("huggingface.co", "hf-mirror.com")
a = a.replace("resolve", "blob")
apk2.append(a)
to_file("./apk-asr-cn.html", apk2)
if __name__ == "__main__":
main()