[{"@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":"Australia(AU)"},{"@type":"PropertyValue","name":"Language(Region) Code","value":"en-AU"},{"@type":"PropertyValue","name":"Language","value":"English"},{"@type":"PropertyValue","name":"Features of annotation","value":"Transcription text, timestamp, speaker ID, gender, noise"},{"@type":"PropertyValue","name":"Accuracy","value":"Word Accuracy Rate (WAR) 98%"}]
{"id":1253,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"128 Hours Australian English Children's Speech Dataset for ASR & Voice AI","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":"Australia(AU)","desc":"Country"},{"title":"Language(Region) Code","content":"en-AU","desc":"Language(Region) Code"},{"title":"Language","content":"English","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) 98%","desc":"Accuracy"}],"datatag":"English,Australia,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":[],"officialSummary":"This dataset contains 128 hours of Australian English children's conversational and monologue speech collected from authentic real-world scenarios. It includes transcriptions, speaker IDs, age, gender, accent information, and additional metadata. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, complex tasks. The dataset has undergone quality validation by multiple 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":["australian english speech dataset","child speech dataset","kids speech dataset","australian english children's speech dataset","australian english asr 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":"128 Hours - Australian English 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"]}
128 Hours Australian English Children's Speech Dataset for ASR & Voice AI
australian english speech dataset
child speech dataset
kids speech dataset
australian english children's speech dataset
australian english asr dataset
This dataset contains 128 hours of Australian English children's conversational and monologue speech collected from authentic real-world scenarios. It includes transcriptions, speaker IDs, age, gender, accent information, and additional metadata. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, complex tasks. The dataset has undergone quality validation by multiple 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 dataset licensed for commercial use. Ready-made datasets are available for immediate integration into 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.