id
stringlengths 16
16
| caption
stringlengths 12
166
| audio
audioduration (s) 1
10
| duration
float64 1
10
| WavPath
stringlengths 34
34
|
|---|---|---|---|---|
YWOFwd-GTeSk.wav | Music and a man speaking is heard. | 10 | AudioSet_SL_flac/YWOFwd-GTeSk.flac |
|
Yk7G2ZfLeHOQ.wav | Frogs and a road vehicle are heard, with croaking and frog sounds. | 10 | AudioSet_SL_flac/Yk7G2ZfLeHOQ.flac |
|
Y4_8pphEX25g.wav | Men are speaking and chirping is heard with background noise and breathing. | 10 | AudioSet_SL_flac/Y4_8pphEX25g.flac |
|
YYdFfhvxPe2g.wav | Wind is blowing, birds are chirping, a dog barks, tapping and human sounds including laughter, breathing, and child speech are heard. | 10 | AudioSet_SL_flac/YYdFfhvxPe2g.flac |
|
Y-Z0OfTAK5VU.wav | People are laughing and talking, with mechanisms making noise. | 10 | AudioSet_SL_flac/Y-Z0OfTAK5VU.flac |
|
YnsR9YogY2Lc.wav | Wind and foghorn, talking man, and mechanisms. | 10 | AudioSet_SL_flac/YnsR9YogY2Lc.flac |
|
YXHzSL1ZUQmo.wav | Music is accompanied by tap dancing, cheering, and whooping. | 10 | AudioSet_SL_flac/YXHzSL1ZUQmo.flac |
|
YObFAxX_SZ0s.wav | A high-pitched squeal is followed by artillery fire. | 9.5535 | AudioSet_SL_flac/YObFAxX_SZ0s.flac |
|
YLhSV8rp8wJI.wav | Cutlery and dishes are being used, people are breathing and speaking, with surface contact heard. | 9.999969 | AudioSet_SL_flac/YLhSV8rp8wJI.flac |
|
Y_hMJSLg00MQ.wav | Music has a chorus effect. | 10 | AudioSet_SL_flac/Y_hMJSLg00MQ.flac |
|
YkR5xcyfP8jw.wav | Mechanical and wind noises occur simultaneously. | 10 | AudioSet_SL_flac/YkR5xcyfP8jw.flac |
|
Yb3jLqJ-L8as.wav | Background noise and croaking sounds are heard. | 10 | AudioSet_SL_flac/Yb3jLqJ-L8as.flac |
|
YFUNlb0qViSE.wav | Mechanisms are heard, as well as breathing, hiccupping, conversation, and various speeches. | 10 | AudioSet_SL_flac/YFUNlb0qViSE.flac |
|
YBT-koNYZQzU.wav | A man is speaking, people are breathing and giggling with background noise and surface contact sounds. | 10 | AudioSet_SL_flac/YBT-koNYZQzU.flac |
|
YSbTznxQqisg.wav | Laughter and conversation are heard, speech synthesizer sounds are heard, and breathing is heard. | 10 | AudioSet_SL_flac/YSbTznxQqisg.flac |
|
YpyB5ELA_1Zo.wav | Mechanical sounds are present. | 9.999969 | AudioSet_SL_flac/YpyB5ELA_1Zo.flac |
|
Yzl_8NDANRbY.wav | Machine gun fires as men speak in the background. | 9.999625 | AudioSet_SL_flac/Yzl_8NDANRbY.flac |
|
YR4VxBZZ7HqE.wav | There are repetitive whacks and sound effects. | 10 | AudioSet_SL_flac/YR4VxBZZ7HqE.flac |
|
YFaVBRSiCw4w.wav | Mechanisms, wind noise, car horns, bird sounds, ticking, and human sounds are heard. | 10 | AudioSet_SL_flac/YFaVBRSiCw4w.flac |
|
Y8jq5lB7_Af0.wav | A woman is speaking, food is being fried, and ticks and stirs are heard. | 10 | AudioSet_SL_flac/Y8jq5lB7_Af0.flac |
|
YRYkHdf4KFlI.wav | A man is speaking, mechanisms are sounding, clicking, and breathing is heard. | 10.000031 | AudioSet_SL_flac/YRYkHdf4KFlI.flac |
|
Yxt6fg3Zwk-8.wav | People converse and laugh amidst background noise, with kids, adults, and breathing heard. | 10 | AudioSet_SL_flac/Yxt6fg3Zwk-8.flac |
|
Y-NrpfrEGq5w.wav | Women are speaking and snoring with giggles and breathing sounds. | 10 | AudioSet_SL_flac/Y-NrpfrEGq5w.flac |
|
YH9Zwnqr8UF4.wav | Laughter, music, breathing, child singing, and oinks are heard. | 10 | AudioSet_SL_flac/YH9Zwnqr8UF4.flac |
|
Y3fo-fkgWyOo.wav | Music plays alongside video game sounds, animal noises, and human voices. | 10 | AudioSet_SL_flac/Y3fo-fkgWyOo.flac |
|
Yo_52RulyB1Y.wav | Only music is playing. | 10 | AudioSet_SL_flac/Yo_52RulyB1Y.flac |
|
YWR2Z2pKE_qk.wav | There is music with a choir. | 10 | AudioSet_SL_flac/YWR2Z2pKE_qk.flac |
|
Y3u_WPuhbtnE.wav | A siren sounds with a man speaking and mechanisms ticking. | 10 | AudioSet_SL_flac/Y3u_WPuhbtnE.flac |
|
Y0BhhYpDRwVY.wav | Horses clip-clop, wind, bird chirping, human voice, and wind noise can be heard. | 10 | AudioSet_SL_flac/Y0BhhYpDRwVY.flac |
|
YFFrjzPIdwHY.wav | A man is speaking while a motorcycle is heard in the background. | 10 | AudioSet_SL_flac/YFFrjzPIdwHY.flac |
|
YBq5BHjPZk6Y.wav | Scissors are cutting. | 10 | AudioSet_SL_flac/YBq5BHjPZk6Y.flac |
|
YwFDzME9EshA.wav | A child speaks and beeps are heard with surface contact and mechanisms. | 10 | AudioSet_SL_flac/YwFDzME9EshA.flac |
|
YStS965keSS8.wav | Male singing, wind, breathing, a man speaking, and various sound effects, including a whistle, can be heard. | 10 | AudioSet_SL_flac/YStS965keSS8.flac |
|
YpmW0lcxykv8.wav | A car accelerates and people walk and make surface contact sounds. | 10 | AudioSet_SL_flac/YpmW0lcxykv8.flac |
|
Y80tRDZ6c6SI.wav | Cars are passing, wind is blowing, and chopping and footsteps are heard. | 10 | AudioSet_SL_flac/Y80tRDZ6c6SI.flac |
|
YfhFOArLxbA4.wav | A man is speaking, machines are running, and food is sizzling. | 10 | AudioSet_SL_flac/YfhFOArLxbA4.flac |
|
YS3NRQ-pCnPE.wav | A coin is dropping and mechanisms are operating. | 9.999375 | AudioSet_SL_flac/YS3NRQ-pCnPE.flac |
|
YfcWZQkkD3IM.wav | A woman is speaking and making background noises. | 10 | AudioSet_SL_flac/YfcWZQkkD3IM.flac |
|
Y4EVapt6AdgE.wav | An airplane flies by. | 9.999375 | AudioSet_SL_flac/Y4EVapt6AdgE.flac |
|
YYmuJeq__g8w.wav | A woman speaks and cries while a man and a child speak and sob. | 10 | AudioSet_SL_flac/YYmuJeq__g8w.flac |
|
YUkPpEhnr8mg.wav | An explosion is followed by a man speaking. | 10.000656 | AudioSet_SL_flac/YUkPpEhnr8mg.flac |
|
YKBSe43bn6Es.wav | Wind, tapping sounds, car passing by, air brake, and wind noise are heard. | 10 | AudioSet_SL_flac/YKBSe43bn6Es.flac |
|
YZXtn92p5eo0.wav | Men are speaking and using power tools with human sounds. | 10 | AudioSet_SL_flac/YZXtn92p5eo0.flac |
|
YXHD0sLHWEUU.wav | Traffic noise and a police siren are heard. | 10 | AudioSet_SL_flac/YXHD0sLHWEUU.flac |
|
YI-TQdBT3Ims.wav | Sonar, music, and rapping are heard. | 10 | AudioSet_SL_flac/YI-TQdBT3Ims.flac |
|
YU-rMLpfjRkU.wav | Cars and cameras are making noise, birds are chirping and singing, and tires are squealing. | 10 | AudioSet_SL_flac/YU-rMLpfjRkU.flac |
|
Y2mtOnPaSx3A.wav | Dogs pants, barks, and a machinery sound are heard. | 10 | AudioSet_SL_flac/Y2mtOnPaSx3A.flac |
|
Y1aIrlmkHjnw.wav | A man is speaking, music is playing, and video game sounds and sound effects are heard. | 10 | AudioSet_SL_flac/Y1aIrlmkHjnw.flac |
|
Y1UR1QzZFcR4.wav | A train horn and whistle, along with mechanisms, are heard. | 10 | AudioSet_SL_flac/Y1UR1QzZFcR4.flac |
|
Y6ZEtbX95qYo.wav | People are breathing, using mechanisms, and making sounds with dishes and pots. | 10 | AudioSet_SL_flac/Y6ZEtbX95qYo.flac |
|
Y2XCFddN1Dfg.wav | Background noise, music, male singing with breathing and human voice is heard. | 10 | AudioSet_SL_flac/Y2XCFddN1Dfg.flac |
|
Y5MZYUwiSfVg.wav | Babies laugh and babble with background noise. | 10 | AudioSet_SL_flac/Y5MZYUwiSfVg.flac |
|
Y6XMtieeWQxk.wav | Surfaces are being impacted and dogs are growling and panting. | 10 | AudioSet_SL_flac/Y6XMtieeWQxk.flac |
|
Yw0ZFlWmH2tU.wav | A woman is speaking, music is playing, and there is background noise. | 10 | AudioSet_SL_flac/Yw0ZFlWmH2tU.flac |
|
YnQk4Dq6eMNA.wav | A man speaks as rain taps and artillery fire booms. | 9.102344 | AudioSet_SL_flac/YnQk4Dq6eMNA.flac |
|
Y4gCXfIj1xyY.wav | Sound effects can be heard in the background. | 10 | AudioSet_SL_flac/Y4gCXfIj1xyY.flac |
|
YOEc2j6dCf-8.wav | Music plays with birds chirping. | 9.999531 | AudioSet_SL_flac/YOEc2j6dCf-8.flac |
|
Ymns182wNj9E.wav | People are laughing and filling a bathtub with water while a woman is speaking. | 10 | AudioSet_SL_flac/Ymns182wNj9E.flac |
|
YrdmbyYreqiU.wav | Whistling, bird calls, flapping wings, and mechanisms are heard. | 10.000031 | AudioSet_SL_flac/YrdmbyYreqiU.flac |
|
Yd-x3nlkE3ig.wav | A man is speaking with background noise and breathing can be heard. | 10 | AudioSet_SL_flac/Yd-x3nlkE3ig.flac |
|
YjH_wKMLQVkA.wav | Insects buzz with wind noise, footsteps, and ticking. | 10.000625 | AudioSet_SL_flac/YjH_wKMLQVkA.flac |
|
YDL6-uzNe3Ng.wav | Mechanisms are making sounds, women are speaking and laughing, and breathing and burping sounds are heard. | 10 | AudioSet_SL_flac/YDL6-uzNe3Ng.flac |
|
Y2JOc_xN5ALI.wav | Mechanisms operate while a heartbeat beats in time. | 10 | AudioSet_SL_flac/Y2JOc_xN5ALI.flac |
|
YC6j2yKszjOI.wav | A truck is heard with birds chirping, bells ringing, and acceleration sounds. | 10 | AudioSet_SL_flac/YC6j2yKszjOI.flac |
|
YyuXLgvxNwNw.wav | Mechanisms are operating, people are speaking, farting, giggling, and more speaking. | 9.287531 | AudioSet_SL_flac/YyuXLgvxNwNw.flac |
|
Y-w9BldxFbKc.wav | Music and background noise are heard. | 10 | AudioSet_SL_flac/Y-w9BldxFbKc.flac |
|
YKbvWHDRt69Q.wav | Men are speaking and human voices are heard, with background noise. | 10 | AudioSet_SL_flac/YKbvWHDRt69Q.flac |
|
YSFZrKQ2Q0QQ.wav | Music is playing. | 10 | AudioSet_SL_flac/YSFZrKQ2Q0QQ.flac |
|
YznPNZYJjrtE.wav | Man speaking with music, shouting, and a crowd. | 9.999969 | AudioSet_SL_flac/YznPNZYJjrtE.flac |
|
Y3qrVku794u0.wav | Conversation and beep sounds blend with a microwave oven. | 9.9535 | AudioSet_SL_flac/Y3qrVku794u0.flac |
|
Y9sg_NX8etRE.wav | Cars are accelerating and revving. | 10 | AudioSet_SL_flac/Y9sg_NX8etRE.flac |
|
YMG7Q7TWJ_oQ.wav | A woman is speaking and music is playing in the background. | 10 | AudioSet_SL_flac/YMG7Q7TWJ_oQ.flac |
|
Y1PIqpwK7Lb4.wav | Wind noise is prominent in the environment with gushing sounds. | 3.7735 | AudioSet_SL_flac/Y1PIqpwK7Lb4.flac |
|
Yk-rE1Pwd-yk.wav | A medium-frequency engine is accelerating and revving. | 10 | AudioSet_SL_flac/Yk-rE1Pwd-yk.flac |
|
Yc3duNXRAWDg.wav | An aircraft engine is heard. | 10 | AudioSet_SL_flac/Yc3duNXRAWDg.flac |
|
YpaejeHTAuZ4.wav | Birds coo and flap their wings in flight. | 10 | AudioSet_SL_flac/YpaejeHTAuZ4.flac |
|
YYVJh-Uj9OBo.wav | Video game sounds, explosions, and fusillade are heard with human voice and sound effects. | 10 | AudioSet_SL_flac/YYVJh-Uj9OBo.flac |
|
YiYxGFiaOD-M.wav | Sawing and ticking sounds can be heard while mechanisms sound. | 10 | AudioSet_SL_flac/YiYxGFiaOD-M.flac |
|
YqMtvwxJCyrI.wav | A woman speaks as a drill and taps continue. | 10 | AudioSet_SL_flac/YqMtvwxJCyrI.flac |
|
YkV3zD0o8DEo.wav | A race car accelerates and revs its engine. | 10 | AudioSet_SL_flac/YkV3zD0o8DEo.flac |
|
YSRFr69xe2c0.wav | Various sounds of mechanisms, human speech, bird songs, and breathing are heard in an environment. | 10 | AudioSet_SL_flac/YSRFr69xe2c0.flac |
|
YfYr1yOdc7WA.wav | Music and sound effects are played with lions and tigers roaring. | 10 | AudioSet_SL_flac/YfYr1yOdc7WA.flac |
|
YHoJt1z0NAlg.wav | A motorcycle engine is knocking and accelerating. | 10 | AudioSet_SL_flac/YHoJt1z0NAlg.flac |
|
YHu2qZ4xKWcs.wav | A man is speaking frequently with occasional breathing and insect sounds in the background. | 10 | AudioSet_SL_flac/YHu2qZ4xKWcs.flac |
|
YhBAa-9pHSwE.wav | A car honks, passes by, and is accompanied by wind noise. | 10 | AudioSet_SL_flac/YhBAa-9pHSwE.flac |
|
YaiYa3U7ym-c.wav | Wind blows, whips crack, human voices and speech are heard, and ticks sound. | 10 | AudioSet_SL_flac/YaiYa3U7ym-c.flac |
|
YuS2R26wgr8k.wav | Male singing is heard with music and quacking, then more singing. | 10 | AudioSet_SL_flac/YuS2R26wgr8k.flac |
|
Y1lYGmjMTmZw.wav | Men speak, dogs bark and howl, with ticks and background noise heard. | 10 | AudioSet_SL_flac/Y1lYGmjMTmZw.flac |
|
Y8AJt7UfaT30.wav | Music, male speech, and spray are heard. | 9.0535 | AudioSet_SL_flac/Y8AJt7UfaT30.flac |
|
YtePAn2mTomI.wav | A train horn blows, steam hisses, and the train is moving with squealing wheels. | 10 | AudioSet_SL_flac/YtePAn2mTomI.flac |
|
YTzrbbOXp_Z4.wav | Dogs bark and howl while women breathe and speak, with occasional squeaking. | 10 | AudioSet_SL_flac/YTzrbbOXp_Z4.flac |
|
YeGaQqpi2_Mc.wav | An insect, bird chirping, an alarm, a frog, and an animal are heard. | 10 | AudioSet_SL_flac/YeGaQqpi2_Mc.flac |
|
Y26WzdoqUtw8.wav | Wind blows as a motorcycle speeds by. | 8.080563 | AudioSet_SL_flac/Y26WzdoqUtw8.flac |
|
YK3584ENHDuE.wav | Keypress tones, breathing, and mechanisms are heard. | 10 | AudioSet_SL_flac/YK3584ENHDuE.flac |
|
YP6V-AA-R05k.wav | Various sounds, including bird calls and coos, mix with human speech and tapping. | 10 | AudioSet_SL_flac/YP6V-AA-R05k.flac |
|
Ylk4PET8IyIk.wav | Breaking glass and footsteps intermingle with wind noise. | 10 | AudioSet_SL_flac/Ylk4PET8IyIk.flac |
|
Y0IWisI1vib0.wav | Background music plays. | 10 | AudioSet_SL_flac/Y0IWisI1vib0.flac |
|
YEZpffF9di-Y.wav | A chainsaw is running. | 9.999375 | AudioSet_SL_flac/YEZpffF9di-Y.flac |
|
Yt9iR9oZVSTo.wav | A train is approaching and honks its horn. | 10 | AudioSet_SL_flac/Yt9iR9oZVSTo.flac |
|
Y2GQzLICdIUM.wav | An engine revs and a medium engine hums. | 9.105375 | AudioSet_SL_flac/Y2GQzLICdIUM.flac |
End of preview. Expand
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This dataset only contains test data, which is integrated into UltraEval-Audio(https://github.com/OpenBMB/UltraEval-Audio) framework.
python audio_evals/main.py --dataset wavcaps-audioset --model gpt4o_audio
🚀超凡体验，尽在UltraEval-Audio🚀
UltraEval-Audio——全球首个同时支持语音理解和语音生成评估的开源框架，专为语音大模型评估打造，集合了34项权威Benchmark，覆盖语音、声音、医疗及音乐四大领域，支持十种语言，涵盖十二类任务。选择UltraEval-Audio，您将体验到前所未有的便捷与高效：
- 一键式基准管理 📥：告别繁琐的手动下载与数据处理，UltraEval-Audio为您自动化完成这一切，轻松获取所需基准测试数据。
- 内置评估利器 ⚙️：无需再四处搜寻评估工具，UltraEval-Audio内置八种常用的评估方法（如WER、WER-ZH、BLEU、G-Eval），无论是基于规则还是模型驱动，都能满足您的需求。
- 功能强大，灵活易用 🛠️：支持预览测试、随机样本、错误重试、断点重跑等功能，确保评估过程灵活可控，提升效率与准确性。
- 无缝集成自定义数据集 💼：不仅支持公开benchmark，还提供强大的自定义数据集功能，让您在各种工程场景下也能迅速应用。
- 轻松对接现有系统 🔗：具备优秀的扩展性和标准化设计，即使您已拥有一套完善的评估体系，UltraEval-Audio也能无缝对接，简化项目管理流程，输出结果统一规范。
UltraEval-Audio: 🎙️ Open-Source Speech Model Evaluation Framework, Empowering Your AI Voice Research!
One-Stop Evaluation, Time-Saving and Effortless! 🚀
UltraEval-Audio integrates 30+ benchmarks, covering speech, sound, medicine, music four major domains, supporting 10 languages, and encompassing 12 types of tasks, helping you easily master speech evaluation!
No Tedious Operations, Ready to Use Out of the Box! 🎁
- Automatic Download and Management of Benchmarks, Say Goodbye to Manual Download and Processing! 📥
- Built-in 8 Common Evaluation Methods, Including wer, wer-zh, G-Eval, Meeting Your Diverse Evaluation Needs! 🛠️
Flexible Expansion, Seamless Integration! 🔗
- Quick Integration of Internal Datasets, Custom Dataset Functionality, Making Your Evaluation More Targeted! 📊
- Easy Access to Existing Evaluation Systems, Excellent Scalability and Standardization, Allowing UltraEval-Audio to Easily Integrate into Your Evaluation Ecosystem! 🧩
Experience Now: https://github.com/OpenBMB/UltraEval-Audio 🌐
UltraEval-Audio: 🎙️ Your Best Partner in AI Voice Research, Accelerating Your Breakthroughs in Speech Technology! 🚀
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