[{"@type":"PropertyValue","name":"Format","value":"44.1kHz, 16bit, wav, dual-channel;"},{"@type":"PropertyValue","name":"Content category","value":"Noise;"},{"@type":"PropertyValue","name":"Recording condition","value":"Noisy environment, including restaurant, supermarket, subway, road, exhibition hall, bus and street;"},{"@type":"PropertyValue","name":"Recording device","value":"Sony ICD-UX560F voice recorder;"},{"@type":"PropertyValue","name":"Features of annotation","value":"timestamp and type for non-noise."}]
{"id":178,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY170501037.png?Expires=2007353642&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=jlVLZ%2BUfaIfFz21%2Bj9JgtvH7Ycs%3D","type1":"165","type1str":null,"type2":"165","type2str":null,"dataname":"1,297 Hours - Environmental noise in various scenarios by Voice Recorder","datazy":[{"title":"Format","value":"44.1kHz, 16bit, wav, dual-channel;"},{"title":"Content category","value":"Noise;"},{"title":"Recording condition","value":"Noisy environment, including restaurant, supermarket, subway, road, exhibition hall, bus and street;"},{"title":"Recording device","value":"Sony ICD-UX560F voice recorder;"},{"title":"Features of annotation","value":"timestamp and type for non-noise."}],"datatag":"Environmental noise,Scenario,Voice Recorder","technologydoc":null,"downurl":null,"datainfo":"Multiple noisy scenes data, covering multiple daily life scenarios such as subway, supermarket, dinning hall,street etc. All the data are recorded by professional voice recorder, and collected with high sampling rate and double channel format. Recording is clear and natural. Annotate point-in-time and type to clear human voice and music.","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["1,297 hours","daily noise scene","using Sony ICD-UX560F recording pen"],"samplePresentation":[["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0002_P0001_01.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=yPr2Suf15T82KCIxoieGiBgdXAQ%3D","/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0002_P0001_01.wav",""],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0001_P0003_01.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=TiiL2gCHzD4gR4xwr67%2FOB17I3o%3D","/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0001_P0003_01.wav",""],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0001_P0007_01.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=giQSemB9MAmGhZLuUCXtlHGefPY%3D","/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0001_P0007_01.wav",""],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0005_P0007_01.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=rtrO4QVMUXG99SKe1gIc9Jo3M%2Fk%3D","/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0005_P0007_01.wav",""],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0005_P0004_01.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=U0rVJOqO6gtTgN1uw6s79PoZKUs%3D","/data/apps/damp/temp/ziptemp/APY1705010371695808874819/APY170501037/G0005_P0004_01.wav",""]],"officialSummary":"Environmental noise in various scenarios by Voice Recorder, recorded in multiple scenarios, including subways, supermarkets, restaurants, roads, etc. Transcribed with timestamp and other attributes, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.","dataexampl":"","datakeyword":["voice recorder"," noise data","scene noise data"," noise data collection"," noise collection"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Language,Data Type","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"speechRec","BGimg":"brightSpot_audio","voiceBg":["/shujutang/static/image/comm/audio_bg.webp","/shujutang/static/image/comm/audio_bg2.webp","/shujutang/static/image/comm/audio_bg3.webp","/shujutang/static/image/comm/audio_bg4.webp","/shujutang/static/image/comm/audio_bg5.webp"],"single":"no"}
1,297 Hours - Environmental noise in various scenarios by Voice Recorder
voice recorder
noise data
scene noise data
noise data collection
noise collection
Environmental noise in various scenarios by Voice Recorder, recorded in multiple scenarios, including subways, supermarkets, restaurants, roads, etc. Transcribed with timestamp and other attributes, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
44.1kHz, 16bit, wav, dual-channel;
Content category
Noise;
Recording condition
Noisy environment, including restaurant, supermarket, subway, road, exhibition hall, bus and street;