"If you can’t measure it, you can’t improve it." -- Peter Drucker
SpeechIO leaderboard serves as an ASR benchmarking platform by providing 3 components:
-
TestSet Zoo: A collection of test sets covering wide range of speech recognition tasks & scenarios
-
Model Zoo: A collection of models including commercial APIs & open-sourced models
-
Benchmarking Pipeline: a simple & well-specified pipeline to take care of data preparation / recognition / post processing / error rate evaluation.
People should be able to easily benchmark, reproduce, examine ASR systems from each other
Academic Test Sets (EN & ZH)
已公开 UNLOCKED |
编号 TEST_SET_ID |
说明 DESCRIPTION |
语言 LANGUAGE |
---|---|---|---|
✓ | AISHELL1_TEST | test set of AISHELL-1 | zh |
✓ | AISHELL2_IOS_TEST | test set of AISHELL-2 (iOS channel) | zh |
✓ | AISHELL2_ANDROID_TEST | test set of AISHELL-2 (Android channel) | zh |
✓ | AISHELL2_MIC_TEST | test set of AISHELL-2 (Microphone channel) | zh |
✓ | LIBRISPEECH_TEST_CLEAN | "test_clean" set of LibriSpeech | en |
✓ | LIBRISPEECH_TEST_OTHER | "test_other" set of LibriSpeech | en |
✓ | GIGASPEECH_V1.0.0_DEV | dev set of GigaSpeech | en |
✓ | GIGASPEECH_V1.0.0_TEST | test set of GigaSpeech | en |
SpeechIO Test Sets (ZH)
SpeechIO test sets are carefully curated by SpeechIO authors, crawled from publicly available sources (Youtube, TV programs, Podcast etc), covering various well-known scenarios and topics, transcribed by payed professional annotators.
已公开 UNLOCKED |
编号 TEST_SET_ID |
名称 NAME |
场景 SCENARIO |
内容领域 TOPIC |
时长 HOURS |
难度(1-5) DIFFICULTY |
---|---|---|---|---|---|---|
✓ | SPEECHIO_ASR_ZH00000 | 调试集 for debugging |
视频会议、论坛演讲 conference & speech |
经济、货币、金融 economy, currency, finance |
1.0 | ★★☆ |
✓ | SPEECHIO_ASR_ZH00001 | 新闻联播 | 新闻播报 TV News |
时政 news & politics |
9 | ★ |
✓ | SPEECHIO_ASR_ZH00002 | 鲁豫有约 | 访谈电视节目 TV interview |
名人工作/生活 celebrity & film & music & daily |
3 | ★★☆ |
✓ | SPEECHIO_ASR_ZH00003 | 天下足球 | 专题电视节目 TV program |
足球 Sports & Football & Worldcup |
2.7 | ★★☆ |
✓ | SPEECHIO_ASR_ZH00004 | 罗振宇跨年演讲 | 会场演讲 Stadium Public Speech |
社会、人文、商业 Society & Culture & Business Trend |
2.7 | ★★ |
✓ | SPEECHIO_ASR_ZH00005 | 李永乐讲堂 | 在线教育 Online Education |
科普 Popular Science |
4.4 | ★★★ |
✓ | SPEECHIO_ASR_ZH00006 | 王者荣耀 张大仙 & 骚白 |
直播 Live Broadcasting |
游戏 Game |
1.6 | ★★★☆ |
✓ | SPEECHIO_ASR_ZH00007 | 直播带货 李佳琪 & 薇娅 |
直播 Live Broadcasting |
电商、美妆 Makeup & Online shopping/advertising |
0.9 | ★★★★☆ |
✓ | SPEECHIO_ASR_ZH00008 | 老罗语录 | 线下培训 Offline lecture |
段子、做人 Life & Purpose & Ethics |
1.3 | ★★★★☆ |
✓ | SPEECHIO_ASR_ZH00009 | 故事FM | 播客 Podcast |
人生故事、见闻 Ordinary Life Story Telling |
4.5 | ★★☆ |
✓ | SPEECHIO_ASR_ZH00010 | 创业内幕 | 播客 Podcast |
创业、产品、投资 Startup & Enterprenuer & Product & Investment |
4.2 | ★★☆ |
✓ | SPEECHIO_ASR_ZH00011 | 罗翔刑法法考 | 在线教育 Online Education |
法律 法考 Law & Lawyer Qualification Exams |
3.4 | ★★☆ |
✓ | SPEECHIO_ASR_ZH00012 | 张雪峰考研 | 在线教育 Online Education |
考研 高校报考 University & Graduate School Entrance Exams |
3.4 | ★★★☆ |
✓ | SPEECHIO_ASR_ZH00013 | 谷阿莫 牛叔说电影 |
短视频 VLog |
电影剪辑 Movie Cuts |
1.8 | ★★★ |
✓ | SPEECHIO_ASR_ZH00014 | 贫穷料理 琼斯爱生活 |
短视频 VLog |
美食、烹饪 Food & Cooking & Gourmet |
1 | ★★★☆ |
✓ | SPEECHIO_ASR_ZH00015 | 单田芳 白眉大侠 | 评书 Traditional Podcast |
江湖、武侠 Kongfu Fiction |
2.2 | ★★☆ |
✗ | SPEECHIO_ASR_ZH00016 | 德云社演出 | 剧场相声 Theater Crosstalk Show |
包袱段子 Funny Stories |
1 | ★★★ |
✗ | SPEECHIO_ASR_ZH00017 | 吐槽大会 | 脱口秀电视节目 Standup Comedy |
明星糗事 Celebrity Jokes |
1.8 | ★★☆ |
✗ | SPEECHIO_ASR_ZH00018 | 小猪佩奇 熊出没 |
少儿动画 Children Cartoon |
童话故事、日常 Fairy Tale |
0.9 | ★☆ |
✗ | SPEECHIO_ASR_ZH00019 | CCTV5 NBA 转播 | 体育赛事解说 Sports Game Live |
篮球、NBA NBA Game |
0.7 | ★★★ |
✗ | SPEECHIO_ASR_ZH00020 | 篮球人物 | 纪录片 Documentary |
篮球明星、成长 NBA Super Stars' Life & History |
2.2 | ★★ |
✗ | SPEECHIO_ASR_ZH00021 | 汽车之家评测 | 短视频 VLog |
汽车测评 Car benchmarks, Road driving test |
1.7 | ★★★☆ |
✗ | SPEECHIO_ASR_ZH00022 | 小艾大叔 豪宅带看 | 短视频 VLog |
房地产、豪宅 Realestate, Mansion tour |
1.7 | ★★★ |
✗ | SPEECHIO_ASR_ZH00023 | 无聊开箱 Zealer评测 |
短视频 VLog |
产品开箱评测 Unboxing |
2 | ★★★ |
✗ | SPEECHIO_ASR_ZH00024 | 付老师种植技术 | 短视频 VLog |
农业、种植 Agriculture, Planting |
2.7 | ★★★☆ |
✗ | SPEECHIO_ASR_ZH00025 | 石国鹏讲历史 | 线下培训 Offline lecture |
历史,古希腊哲学 History, Greek philosophy |
1.3 | ★★☆ |
✗ | SPEECHIO_ASR_ZH00026 | 张震鬼故事 | 广播节目 Broadcasting Program |
鬼故事 Horror Stories |
2.4 | ★★★ |
✗ | SPEECHIO_ASR_ZH00027 | 华语辩论世界杯 | 辩论赛 Debates Contest |
兴趣、技能、成长 Hobby, Skill, Growth |
1.4 | ★★★ |
✗ | SPEECHIO_ASR_ZH00028 | 时政现场同传 | 同声传译 Simultaneous Translation |
时政、社会公共治理 News & Events on Public Governance |
2.1 | ★★★☆ |
✗ | SPEECHIO_ASR_ZH00029 | 港台明星访谈 周杰伦,曾志伟 张家辉,陈小春 周星驰 |
口音(港台) HongKong/Taiwan Accents |
娱乐、生活、演艺 Entertainment, Acting, Musics |
1.5 | ★★★☆ |
✗ | SPEECHIO_ASR_ZH00030 | 世界青年说 | 口音(老外) Foreigner Accents |
异国文化比较 Cultural Difference |
2 | ★★★☆ |
To download an unlocked test set to your local test set zoo:
ops/pull dataset <TEST_SET_ID>
There are two types of models:
Cloud Models
represent ASR systems backed with commercial cloud-services (e.g. Google Cloud, Azure)Local Models
represent local ASR systems (e.g. open-source toolkits + pretrained models)
EN Cloud Models
编号 MODEL_ID |
类型 TYPE |
厂商 PROVIDER |
简介 DESCRIPTION |
链接 URL |
---|---|---|---|---|
aliyun_api_en | Cloud | 阿里巴巴 Alibaba |
阿里云 - 一句话识别 | link |
amazon_api_en | Cloud | 亚马逊 Amazon |
亚马逊云服务平台 | link |
baidu_api_en | Cloud | 百度 Baidu |
百度智能云 | link |
google_api_en | Cloud | 谷歌 |
谷歌云 | link |
microsoft_sdk_en | Cloud | 微软 Microsoft |
Azure | link |
tencent_api_en | Cloud | 腾讯 Tencent |
腾讯云 | link |
EN Local Models
编号 MODEL_ID |
类型 TYPE |
作者 AUTHOR |
简介 DESCRIPTION |
---|---|---|---|
vosk_model_en | Local | alphacephei | ASR solution from link |
vosk_model_en_large | Local | alphacephei | ASR solution(large model) from link |
deepspeech_model_en | Local | deepspeech | DeepSpeech pretrained Model link |
coqui_model_en | Local | coqui | ASR solution from link |
NeMo_conformer_en | Local | NeMo | Conformer pretrained model from NVidia's NeMo project link |
ZH Cloud Models
编号 MODEL_ID |
类型 TYPE |
厂商 PROVIDER |
简介 DESCRIPTION |
链接 URL |
---|---|---|---|---|
aispeech_api_zh | Cloud | 思必驰 AISpeech |
思必驰开放平台 | link |
aliyun_api_zh | Cloud | 阿里巴巴 Alibaba |
阿里云 - 一句话识别 | link |
aliyun_ftasr_api_zh | Cloud | 阿里巴巴 Alibaba |
阿里云 - 文件识别(非流式) | link |
baidu_pro_api_zh | Cloud | 百度 Baidu |
百度智能云 (极速版) |
link |
bilibili_api_zh | Cloud | 哔哩哔哩 bilibili |
哔哩哔哩AI开放平台 | not available yet |
hiasr_api_zh | Cloud | 喜马拉雅 ximalaya |
喜马拉雅AI开放平台 (转写,非流式) |
not available yet |
iflytek_lfasr_api_zh | Cloud | 讯飞 IFlyTek |
讯飞开放平台 (转写,非流式) |
link |
microsoft_sdk_zh | Cloud | 微软 Microsoft |
Azure | link |
tencent_api_zh | Cloud | 腾讯 Tencent |
腾讯云 | link |
yitu_api_zh | Cloud | 依图 YituTech |
依图语音开放平台 | link |
ZH Local Models
编号 MODEL_ID |
类型 TYPE |
作者 AUTHOR |
简介 DESCRIPTION |
---|---|---|---|
speechio_kaldi_multicn | Local | Xingyu NA(那兴宇) | Kaldi multi_cn recipe |
wenet_multi_cn | Local | Binbin Zhang(张彬彬)@wenet-e2e | WeNet multi_cn recipe |
vosk_model_cn | Local | alphacephei | Chinese engine of Vosk |
wenet_wenetspeech | Local | Binbin Zhang(张彬彬)@wenet-e2e | WeNet wenetspeech recipe |
Cloud Models
are normally light-weight client programs, small enough to store within this github repoLocal Models
normally contain large assets so they are stored in cloud, you can download a model via:
ops/pull model <MODEL_ID>
To submit a new model, follow this pipeline specification. Existing models are good references as well.
With downloaded models & test sets, you can trigger the benchmarking pipeline on your local machine via:
ops/leaderboard_runner requests/request.yaml
where request.yaml
specifies a <MODEL_ID> and a list of <TEST_SET_ID>
(refer to examples in above specification)
Rank 排名 | Model 模型 | CER 字错误率 | Date 时间 |
---|---|---|---|
1 | hiasr_api_zh(*) | 2.16 % | 2022.08 |
2 | yitu_api_zh | 2.62 % | 2022.08 |
3 | tencent_api_zh | 2.95% | 2022.08 |
4 | bilibili_api_zh(*) | 2.95% | 2022.08 |
5 | aliyun_api_zh | 3.02% | 2022.08 |
6 | microsoft_sdk_zh | 3.03% | 2022.08 |
7 | aispeech_api_zh | 3.39% | 2022.08 |
8 | iflytek_lfasr_api_zh | 3.66% | 2022.08 |
9 | baidu_pro_api_zh | 6.64% | 2022.08 |
Rank 排名 | Model 模型 | CER 字错误率 | Date 时间 |
---|---|---|---|
1 | hiasr_api_zh(*) | 2.61 % | 2022.08 |
2 | yitu_api_zh | 2.80 % | 2022.08 |
3 | bilibili_api_zh(*) | 3.30 % | 2022.08 |
4 | tencent_api_zh | 3.31% | 2022.08 |
5 | microsoft_sdk_zh | 3.47% | 2022.08 |
6 | aispeech_api_zh | 3.63% | 2022.08 |
7 | aliyun_api_zh | 3.78% | 2022.08 |
8 | iflytek_lfasr_api_zh | 4.01% | 2022.08 |
9 | baidu_pro_api_zh | 7.38% | 2022.08 |
note: models with (*)
marker can be found in model zoo, but not universally available to public yet.
Email: [email protected]