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{"id":233,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY170101041.png?Expires=2007353638&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=KANX5c7U%2Bs2vMS4spHjAHWBVwZ0%3D","type1":"165","type1str":null,"type2":"168","type2str":null,"dataname":"In-Car Noise Dataset – 531 Hours of Cabin Recordings","datazy":[{"title":"Format","desc":"Format","content":"microphone 32kHz 32bit,wav mono channel ; mobile phone: 16kHz, 16bit, mono channel"},{"title":"Data Content","desc":"Data Content","content":"contains 5 conditions each category has multiple scenarios each speech has a corresponding scenarios combination"},{"title":"Collection weather","desc":"Collection weather","content":"317 hours on sunny days 214 hours on rainy days"},{"title":"Recording Environment","desc":"Recording Environment","content":"in-car,10 different models at different prices"},{"title":"Device","desc":"Device","content":"recording by 4 microphones and 2 mobile phones simultaneously ,deployed at 6 points in car"},{"title":"Annotation Content","desc":"Annotation Content","content":"annotation result contaning road type, weather, air conditioning switch and other information"},{"title":"Application Scenario","desc":"Application Scenario","content":"noise modelling"}],"datatag":"Noise,In-car,Microphone,Mobile phone","technologydoc":null,"downurl":null,"datainfo":null,"standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["531 hours","microphone","various scenarios and environment"],"samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c1_fw1_rw1_s1_a1_s.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c1_fw1_rw1_s1_a1_s.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=BJvej0RsGUZ5J1eD6bw3z9tYlfo%3D","intro":"道路类型:停车怠速(0);天气:晴天;空调开关:关;右前车窗:关闭;右后车窗:关闭;气温:2;拥堵情况:畅通;平均车速:0;车型:轿车别克君威","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c1_fw1_rw1_s1_a3_s.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c1_fw1_rw1_s1_a3_s.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=NnD%2FuT1X%2BFFb7d5cPcQiqt857PY%3D","intro":"道路类型:停车怠速(0);天气:晴天;空调开关:中;右前车窗:关闭;右后车窗:关闭;气温:1;拥堵情况:正常;平均车速:0;车型:轿车大众捷达","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c5_fw1_rw1_s3_a4_r_2.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c5_fw1_rw1_s3_a4_r_2.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=f6FWd1L8w4NjHvyeJK46JXoxXGU%3D","intro":"道路类型:环线辅路(65,±15);天气:雨天;空调开关:高;右前车窗:关闭;右后车窗:关闭;气温:24;拥堵情况:疏通;平均车速:71;车型:别克昂拉克","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c1_fw1_rw1_s3_a1_s_1.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c1_fw1_rw1_s3_a1_s_1.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=IDOfS3rQYgRYVMoDTLfjKy%2BwU0I%3D","intro":"道路类型:环线辅路(65,±15);天气:晴天;空调开关:关;右前车窗:关闭;右后车窗:关闭;气温:3;拥堵情况:正常;平均车速:65;车型:东风日产奇骏","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c1_fw1_rw2_s3_a1_s.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY170101041_demo1712829604137/apy170101041/c1_fw1_rw2_s3_a1_s.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=tn2UNDe4LNFFu1unmkF2YNoTaoc%3D","intro":"道路类型:环线辅路(65,±15);天气:晴天;空调开关:关;右前车窗:关闭;右后车窗:打开2cm;气温:6;拥堵情况:无拥堵;平均车速:68;车型:丰田雷凌","size":0,"progress":100,"type":"mp3"}],"officialSummary":"This dataset contains 531 hours of in-car ambient noise recordings captured using microphones and mobile phones across various vehicle models, road types, speeds, and cabin conditions such as windows open or closed. 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In-Car Noise Dataset – 531 Hours of Cabin Recordings
in-car noise dataset
vehicle interior sound
car ambient noise
automotive audio dataset
cabin noise data
car sound modeling
speech enhancement training data
vehicle noise cancellation dataset
This dataset contains 531 hours of in-car ambient noise recordings captured using microphones and mobile phones across various vehicle models, road types, speeds, and cabin conditions such as windows open or closed. The noise was recorded at six distinct points inside each vehicle to reflect spatial diversity and better support vehicle sound modeling. The dataset captures real-world driving environments, engine hums, road interactions, wind noise, and cabin reverberation. It is ideal for use cases such as noise suppression, automatic speech recognition (ASR) in cars, in-vehicle audio enhancement, and sound source separation. Validated by leading AI companies, the dataset complies fully with global data privacy regulations including GDPR, CCPA, and PIPL, making it suitable for both research and commercial applications.
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