[{"@type":"PropertyValue","name":"Format","value":"16kHz,16bit,wav,mono channel"},{"@type":"PropertyValue","name":"Recording environment","value":"quiet indoor environment, normal environment(contains noise that does not affect recognition)"},{"@type":"PropertyValue","name":"Recording content","value":"Speakers will read and record based on the given texts, with each text containing at least 1 type of specified entity word: person, phone number, address, alphanumeric sequence, Email, product Model, product serial number, and money."},{"@type":"PropertyValue","name":"Country","value":"Thailand(THA)"},{"@type":"PropertyValue","name":"Language(Region) Code","value":"th-TH"},{"@type":"PropertyValue","name":"Language","value":"Thai"},{"@type":"PropertyValue","name":"Accuracy","value":"WAR(Word Accuracy Rate) 98% (Punctuation, tags and non-speech annotations are subjective, thus they are excluded from the accuracy statistics.)"},{"@type":"PropertyValue","name":"Device","value":"Android phone, iPhone"}]
{"id":1965,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"107 Hours Thai Speech Dataset with Entity Annotations","datazy":[{"title":"Format","content":"16kHz,16bit,wav,mono channel"},{"title":"Recording environment","content":"quiet indoor environment, normal environment(contains noise that does not affect recognition)"},{"title":"Recording content","content":"Speakers will read and record based on the given texts, with each text containing at least 1 type of specified entity word: person, phone number, address, alphanumeric sequence, Email, product Model, product serial number, and money."},{"title":"Country","content":"Thailand(THA)"},{"title":"Language(Region) Code","content":"th-TH"},{"title":"Language","content":"Thai"},{"title":"Accuracy","content":"WAR(Word Accuracy Rate) 98% (Punctuation, tags and non-speech annotations are subjective, thus they are excluded from the accuracy statistics.)"},{"title":"Device","content":"Android phone, iPhone"}],"datatag":"Thai,Thailand,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":null,"samplePresentation":[],"officialSummary":"This Thai speech dataset contains a wide range of entity categories, including person names, phone numbers, addresses, alphanumeric sequences, email addresses, product models, product serial numbers, and monetary values. The recordings are collected through scripted monologues and are designed to reflect real-world speech scenarios. The dataset includes high-quality smartphone recordings, transcriptions, and relevant 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":["thai speech dataset","thai asr dataset","entity recognition dataset","spoken entity dataset","voice assistant 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\"},{\"code\":\"3\",\"language\":\"EN\"},{\"code\":\"4\",\"language\":\"JP\"}]","productNameEn":"107 hours - Thai(Thailand) Entities Scripted Monologue Smartphone speech dataset","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"]}
107 Hours Thai Speech Dataset with Entity Annotations
thai speech dataset
thai asr dataset
entity recognition dataset
spoken entity dataset
voice assistant dataset
This Thai speech dataset contains a wide range of entity categories, including person names, phone numbers, addresses, alphanumeric sequences, email addresses, product models, product serial numbers, and monetary values. The recordings are collected through scripted monologues and are designed to reflect real-world speech scenarios. The dataset includes high-quality smartphone recordings, transcriptions, and relevant 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 datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16kHz,16bit,wav,mono channel
Recording environment
quiet indoor environment, normal environment(contains noise that does not affect recognition)
Recording content
Speakers will read and record based on the given texts, with each text containing at least 1 type of specified entity word: person, phone number, address, alphanumeric sequence, Email, product Model, product serial number, and money.
Country
Thailand(THA)
Language(Region) Code
th-TH
Language
Thai
Accuracy
WAR(Word Accuracy Rate) 98% (Punctuation, tags and non-speech annotations are subjective, thus they are excluded from the accuracy statistics.)