[{"@type":"PropertyValue","name":"Format","value":"16kHz, 16bit, uncompressed wav, mono channel;"},{"@type":"PropertyValue","name":"Content category","value":"Smart car; smart home; voice assistant;"},{"@type":"PropertyValue","name":"Recording condition","value":"Low background noise(indoor), without echo;"},{"@type":"PropertyValue","name":"Recording device","value":"Android smartphone; iPhone;"},{"@type":"PropertyValue","name":"Speaker","value":"496 Indonesians, 47% male and 53% female;"},{"@type":"PropertyValue","name":"Country","value":"Indonesia(IDN);"},{"@type":"PropertyValue","name":"Language(Region) Code","value":"id-ID;"},{"@type":"PropertyValue","name":"Language","value":"Indonesian;"},{"@type":"PropertyValue","name":"Features of annotation","value":"Transcription text, timestamp, 3 noise symbols, 5 special identifiers;"},{"@type":"PropertyValue","name":"Accuracy Rate","value":"Sentence Accuracy Rate (SAR) 95%(noise symbols and other identifiers are excluded)"}]
{"id":72,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY161101030_G.png?Expires=2007353623&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=5YWzzlGmkbokdTqS81TSCFam/vY%3D","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"Indonesian Voice Assistant Speech Dataset with 496 Native Speakers","datazy":[{"title":"Format","desc":"Format","content":"16kHz, 16bit, uncompressed wav, mono channel;"},{"title":"Content category","desc":"Content category","content":"Smart car; smart home; voice assistant;"},{"title":"Recording condition","desc":"Recording condition","content":"Low background noise(indoor), without echo;"},{"title":"Recording device","desc":"Recording device","content":"Android smartphone; iPhone;"},{"title":"Speaker","desc":"Speaker","content":"496 Indonesians, 47% male and 53% female;"},{"title":"Country","desc":"Country","content":"Indonesia(IDN);"},{"title":"Language(Region) Code","desc":"Language(Region) Code","content":"id-ID;"},{"title":"Language","desc":"Language","content":"Indonesian;"},{"title":"Features of annotation","desc":"Features of annotation","content":"Transcription text, timestamp, 3 noise symbols, 5 special identifiers;"},{"title":"Accuracy Rate","desc":"Accuracy Rate","content":"Sentence Accuracy Rate (SAR) 95%(noise symbols and other identifiers are excluded)"}],"datatag":"Indonesian,Indonesia,Smartphone,Guiding,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":["496 people","10.5 hours","50 sentences for each person"],"samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0168G0044S0420.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0168G0044S0420.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=K66WkLmfBNTd3v%2FGhCdsCzV7d5g%3D","intro":"naikan temperatur ke dua puluh sembilan derajat[[lipsmack]].","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0168G0044S0401.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0168G0044S0401.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=WId5G9llxfpPts1jr8qUpjIIoWQ%3D","intro":"naikan kursi belakang.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0168G0044S0416.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0168G0044S0416.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=%2FkWiASNoYJTb7npyFLmAVaLaugQ%3D","intro":"ubah[[lipsmack]] ke[[lipsmack]] temperatur tiga puluh derajat.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0166G0037S0414.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0166G0037S0414.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=vKWqRT4hYCE6PYnxGZ6Ho0Pc8cw%3D","intro":"mulai memasak ikan.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0166G0020S0410.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101030_G_demo1706954403052/APY161101030_G/T0166G0020S0410.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=rm%2FaKsDnJKJCBG3RxWmXnhAduwQ%3D","intro":"~SMS boby saya akan mengembalikan bukunya hari ini","size":0,"progress":100,"type":"mp3"}],"officialSummary":"This dataset contains Indonesian guided speech recordings collected from 496 native speakers based on predefined prompts. The dataset covers human-machine interaction scenarios, including smart car voice commands, smart home control, and voice assistant applications. Each recording includes accurate transcription and additional metadata attributes. 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":["indonesian voice assistant dataset","automotive voice assistant dataset","speech command dataset","human machine interaction speech dataset","in car voice command 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":"496 People – Indonesian Speech Data by Mobile Phone_Guiding","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"]}
Indonesian Voice Assistant Speech Dataset with 496 Native Speakers
indonesian voice assistant dataset
automotive voice assistant dataset
speech command dataset
human machine interaction speech dataset
in car voice command dataset
This dataset contains Indonesian guided speech recordings collected from 496 native speakers based on predefined prompts. The dataset covers human-machine interaction scenarios, including smart car voice commands, smart home control, and voice assistant applications. Each recording includes accurate transcription and additional metadata attributes. 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
16kHz, 16bit, uncompressed wav, mono channel;
Content category
Smart car; smart home; voice assistant;
Recording condition
Low background noise(indoor), without echo;
Recording device
Android smartphone; iPhone;
Speaker
496 Indonesians, 47% male and 53% female;
Country
Indonesia(IDN);
Language(Region) Code
id-ID;
Language
Indonesian;
Features of annotation
Transcription text, timestamp, 3 noise symbols, 5 special identifiers;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%(noise symbols and other identifiers are excluded)
Sample
Audio
naikan temperatur ke dua puluh sembilan derajat[[lipsmack]].
Audio
naikan kursi belakang.
Audio
ubah[[lipsmack]] ke[[lipsmack]] temperatur tiga puluh derajat.
Audio
mulai memasak ikan.
Audio
~SMS boby saya akan mengembalikan bukunya hari ini
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.
Specifications
Sample
Recommended Dataset
