[{"@type":"PropertyValue","name":"Format","value":"16kHz, 16 bit, wav, mono channel"},{"@type":"PropertyValue","name":"Age","value":"12 years old and younger children"},{"@type":"PropertyValue","name":"Recording environment","value":"Low background noise"},{"@type":"PropertyValue","name":"Country","value":"Spain(ES)"},{"@type":"PropertyValue","name":"Language(Region) Code","value":"es-ES"},{"@type":"PropertyValue","name":"Language","value":"Spanish"},{"@type":"PropertyValue","name":"Features of annotation","value":"Transcription text, timestamp, speaker ID, gender, noise"},{"@type":"PropertyValue","name":"Accuracy","value":"Word Accuracy Rate (WAR) 95%"}]
{"id":1251,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"144.6 Hours European Spanish Children Speech Dataset for ASR Training","datazy":[{"title":"Format","content":"16kHz, 16 bit, wav, mono channel","desc":"Format"},{"title":"Age","content":"12 years old and younger children","desc":"Age"},{"title":"Recording environment","content":"Low background noise","desc":"Recording environment"},{"title":"Country","content":"Spain(ES)","desc":"Country"},{"title":"Language(Region) Code","content":"es-ES","desc":"Language(Region) Code"},{"title":"Language","content":"Spanish","desc":"Language"},{"title":"Features of annotation","content":"Transcription text, timestamp, speaker ID, gender, noise","desc":"Features of annotation"},{"title":"Accuracy","content":"Word Accuracy Rate (WAR) 95%","desc":"Accuracy"}],"datatag":"Spanish,Casual Conversation,Monologue,Asr","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":"","samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000101_1_7.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000101_1_7.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=Q1jRA%2BtmxsyIBBvioUg9axlDQPc%3D","intro":"Está sucio, ¿eh? Ha salido a la calle, que le gusta salir a la calle[N]","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000105_1_9.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000105_1_9.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=O0wB0BQ1fFo0fH0JfexcmEr5uGM%3D","intro":"No puedo.[N]","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000105_1_3.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000105_1_3.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=bxAAZaKs%2Fzt7kxLGMHuHHzcID2k%3D","intro":"¡Le toca a Mikel![N]","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000101_1_9.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000101_1_9.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=oJBHBrC9zVYtjVFbGeMI6JICMpY%3D","intro":"Y la hora de beber y comer también, él viene aquí y come[N]","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000105_1_2.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY230701001_demo1711533627461/APY230701001_demo/000105_1_2.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=T75e4koIXipgMVcwlpAl0w5p5Gk%3D","intro":"¡Mikel, ya veremos![N]","size":0,"progress":100,"type":"mp3"}],"officialSummary":"Spanish(spain) Children Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions. Each audio sample is transcribed and includes text content, speaker ID, gender, age, accent, and other attributes. Our dataset collected from a wide and diverse range of speakers (children aged 12 and under), improves the model's performance on real and complex tasks by geographic location. 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":["European Spanish children speech dataset","Spanish (Spain) child speech dataset","European Spanish children ASR dataset","Spanish speech dataset with transcripts","child speech recognition data"],"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":"144.6 Hours - Spanish Child's Spontaneous Speech Data","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"]}
144.6 Hours European Spanish Children Speech Dataset for ASR Training
European Spanish children speech dataset
Spanish (Spain) child speech dataset
European Spanish children ASR dataset
Spanish speech dataset with transcripts
child speech recognition data
Spanish(spain) Children Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions. Each audio sample is transcribed and includes text content, speaker ID, gender, age, accent, and other attributes. Our dataset collected from a wide and diverse range of speakers (children aged 12 and under), improves the model's performance on real and complex tasks by geographic location. 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.
What languages and scenarios are covered by Nexdata’s speech recognition datasets?
Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.
Can Nexdata customize speech recognition datasets for specific languages or requirements?
Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.
How does Nexdata ensure the quality and scalability of speech recognition datasets?
Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.