[{"@type":"PropertyValue","name":"Format","value":"16kHz, 16bit, uncompressed wav, mono channel;"},{"@type":"PropertyValue","name":"Recording condition","value":"Low background noise, without echo;"},{"@type":"PropertyValue","name":"Content category","value":"economy, entertainment, news, informal language, numbers, alphabet;"},{"@type":"PropertyValue","name":"Recording device","value":"Android Smartphone, iPhone;"},{"@type":"PropertyValue","name":"Speaker","value":"352 Italians, 50% male and 50% female;"},{"@type":"PropertyValue","name":"Country","value":"Italy(ITA);"},{"@type":"PropertyValue","name":"Language(Region) Code","value":"it-IT;"},{"@type":"PropertyValue","name":"Language","value":"Italian;"},{"@type":"PropertyValue","name":"Features of annotation","value":"Transcription text, timestamp, 5 noise symbols, special identifiers;"},{"@type":"PropertyValue","name":"Accuracy Rate","value":"Sentence Accuracy Rate (SAR) 95%(noise symbols and special identifiers are excluded)"}]
{"id":67,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY161101028_R.png?Expires=2007353622&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=D4va1CnBQryGeoptMQovhlUz5i0%3D","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"215 Hours Italian Speech Dataset for ASR – Scripted Audio Across 6 Domains","datazy":[{"title":"Format","desc":"Format","content":"16kHz, 16bit, uncompressed wav, mono channel;"},{"title":"Recording condition","desc":"Recording condition","content":"Low background noise, without echo;"},{"title":"Content category","desc":"Content category","content":"economy, entertainment, news, informal language, numbers, alphabet;"},{"title":"Recording device","desc":"Recording device","content":"Android Smartphone, iPhone;"},{"title":"Speaker","desc":"Speaker","content":"352 Italians, 50% male and 50% female;"},{"title":"Country","desc":"Country","content":"Italy(ITA);"},{"title":"Language(Region) Code","desc":"Language(Region) Code","content":"it-IT;"},{"title":"Language","desc":"Language","content":"Italian;"},{"title":"Features of annotation","desc":"Features of annotation","content":"Transcription text, timestamp, 5 noise symbols, special identifiers;"},{"title":"Accuracy Rate","desc":"Accuracy Rate","content":"Sentence Accuracy Rate (SAR) 95%(noise symbols and special identifiers are excluded)"}],"datatag":"Italian,Italy,Smartphone,Reading,Scripted Monologue","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":["352 people","each sentence contaions 9.2 words on average","400 sentences for each person"],"samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T9109G0312Q0233.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T9109G0312Q0233.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=Yv0Fjfo60Zp1CJ9I%2FS2N6d945JY%3D","intro":"Una Vedova nera nel casco di banane","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T9109G0226Q0067.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T9109G0226Q0067.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=BtDn5eJasLtO05cBBjOYQ4781lE%3D","intro":"dopo avere ammesso di essere giunto in commissariato in auto","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T0109G0252S0045.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T0109G0252S0045.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=iZpI0ITEqt05O83aSXY7lznAesI%3D","intro":"che tiene un grande biscotto d'oro","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T0109G0192S0023.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T0109G0192S0023.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=Kh3ljHnGZWhpLvjY4dwDCoTsfM0%3D","intro":"cinque auto care a Milos perché hanno segnato gran parte della sua carriera","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T9109G0076Q0059.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101028_R_demo1718791204269/apy161101028_r/T9109G0076Q0059.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=0%2Fr642MvDoqGg1d4oBYGNR12Ixs%3D","intro":"a venticinque chilometri da Bali","size":0,"progress":100,"type":"mp3"}],"officialSummary":"This dataset contains 215 hours of Italian scripted monologue speech recorded by 325 native Italian speakers. The recordings are based on predefined prompts. The dataset covers economy and business-related content, entertainment, news, informal speech, numbers, alphabet, and other general domains. Each audio file includes a corresponding transcript and supporting speaker metadata. The dataset is suitable for Automatic Speech Recognition (ASR), speech-to-text, multilingual speech model training, and Italian voice AI development. 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":null,"datakeyword":["italian voice dataset","italian speech dataset","italian audio dataset","italian asr dataset","italian speech recognition dataset"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Data Type,Language","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"speechRec","dataShowType":"[{\"code\":\"0\",\"language\":\"ZH\"},{\"code\":\"1\",\"language\":\"ZH\"},{\"code\":\"2\",\"language\":\"EN,JP,PT,DE,KO,FR,ES\"},{\"code\":\"3\",\"language\":\"EN\"},{\"code\":\"4\",\"language\":\"JP\"}]","productNameEn":"215 Hours - Italian Speech Data by Mobile Phone_Reading","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"]}
215 Hours Italian Speech Dataset for ASR – Scripted Audio Across 6 Domains
italian voice dataset
italian speech dataset
italian audio dataset
italian asr dataset
italian speech recognition dataset
This dataset contains 215 hours of Italian scripted monologue speech recorded by 325 native Italian speakers. The recordings are based on predefined prompts. The dataset covers economy and business-related content, entertainment, news, informal speech, numbers, alphabet, and other general domains. Each audio file includes a corresponding transcript and supporting speaker metadata. The dataset is suitable for Automatic Speech Recognition (ASR), speech-to-text, multilingual speech model training, and Italian voice AI development. 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.