[{"@type":"PropertyValue","name":"Format","value":"16kHz, 16bit, uncompressed wav, mono channel"},{"@type":"PropertyValue","name":"Recording environment","value":"quiet indoor environment, without echo"},{"@type":"PropertyValue","name":"Recording content (read speech)","value":"General textss"},{"@type":"PropertyValue","name":"Speaker","value":"219 native speakers in total, 52% male and 48% female."},{"@type":"PropertyValue","name":"Device","value":"Android mobile phone, iPhone"},{"@type":"PropertyValue","name":"Language","value":"Malayalam(India)"},{"@type":"PropertyValue","name":"Transcription content","value":"text"},{"@type":"PropertyValue","name":"Accuracy rate","value":"Word Accuracy Rate (WAR) 95%"},{"@type":"PropertyValue","name":"Application scenarios","value":"speech recognition, voiceprint recognition"}]
{"id":1932,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"180 Hours Malayalam Scripted Speech Dataset for ASR & Voice AI Training","datazy":[{"title":"Format","content":"16kHz, 16bit, uncompressed wav, mono channel"},{"title":"Recording environment","content":"quiet indoor environment, without echo"},{"title":"Recording content (read speech)","content":"General textss"},{"title":"Speaker","content":"219 native speakers in total, 52% male and 48% female."},{"title":"Device","content":"Android mobile phone, iPhone"},{"title":"Language","content":"Malayalam(India)"},{"title":"Transcription content","content":"text"},{"title":"Accuracy rate","content":"Word Accuracy Rate (WAR) 95%"},{"title":"Application scenarios","content":"speech recognition, voiceprint recognition"}],"datatag":"","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":[{"name":"G00003_S0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260325161712/G00003_S0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=muCs5Xh8Rdn5%2Frc67chBp1%2FReFE%3D","intro":"ഗ്രഹണപ്രാപ് തികളിൽ പൂർണ വളർച്ച പ്രാപിച്ചവർ ആയിത്തീരുവിൻ എന്നു ബൈബിൾ നമ്മെ ഉദ് ബോധിപ്പിക്കുന്നു","size":270764,"progress":100,"type":"mp3"},{"name":"G00003_S0002.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260325161712/G00003_S0002.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=Fe9Vdb6oRgXIp3b6GeFIv8tMfQc%3D","intro":"ഹെലൻറെ കുട്ടിക്കാലത്ത് അവളുടെ മാതാപിതാക്കളുടെ വീട്ടിൽ അദ്ദേഹം താമസിച്ചിരുന്നു","size":220524,"progress":100,"type":"mp3"},{"name":"G00003_S0003.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260325161712/G00003_S0003.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=RMGB4HSLKgktled8luEMZs%2BpRGE%3D","intro":"ഈ പ്രസിദ്ധീകരണങ്ങൾ ആയിരങ്ങളുടെ പക്കൽ എത്തിയിരിക്കുന്നു പി","size":172972,"progress":100,"type":"mp3"},{"name":"G00003_S0004.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260325161712/G00003_S0004.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=LBXruVQikJ4Epa6d%2BJhiftKzbl0%3D","intro":"തീർച്ചയായും വല്ലവനും കുറ്റവാളിയായിക്കൊണ്ട് തൻറെ രക്ഷിതാവിൻറെ അടുത്ത് ചെല്ലുന്ന പക്ഷം അവന്നുള്ളത് നരകമത്രെ അതിലവൻ മരിക്കുകയില്ലജീവിക്കുകയുമില്ല","size":405228,"progress":100,"type":"mp3"},{"name":"G00210_S0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260325161712/G00210_S0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=DF39O2cPZQ%2BKndn6fSBkM1o4Jrc%3D","intro":"ബൈക്ക് യാത്രികനായിരുന്ന ദിണ്ടിഗൽ സ്വദേശിയാണ് മരിച്ച മറ്റൊരാൾ","size":172844,"progress":100,"type":"mp3"}],"officialSummary":"This Malayalam speech dataset consists of monologues recorded based on provided scripts and includes transcripts as well as other attribute information. 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":["Malayalam speech dataset","Malayalam audio dataset","India speech dataset","malayalam asr dataset","indian language speech 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\"}]","productNameEn":"180 Hours - Malayalam(India) 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"]}
180 Hours Malayalam Scripted Speech Dataset for ASR & Voice AI Training
Malayalam speech dataset
Malayalam audio dataset
India speech dataset
malayalam asr dataset
indian language speech dataset
This Malayalam speech dataset consists of monologues recorded based on provided scripts and includes transcripts as well as other attribute information. 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, uncompressed wav, mono channel
Recording environment
quiet indoor environment, without echo
Recording content (read speech)
General textss
Speaker
219 native speakers in total, 52% male and 48% female.
Device
Android mobile phone, iPhone
Language
Malayalam(India)
Transcription content
text
Accuracy rate
Word Accuracy Rate (WAR) 95%
Application scenarios
speech recognition, voiceprint recognition
Sample
Audio
ഗ്രഹണപ്രാപ് തികളിൽ പൂർണ വളർച്ച പ്രാപിച്ചവർ ആയിത്തീരുവിൻ എന്നു ബൈബിൾ നമ്മെ ഉദ് ബോധിപ്പിക്കുന്നു
Audio
ഹെലൻറെ കുട്ടിക്കാലത്ത് അവളുടെ മാതാപിതാക്കളുടെ വീട്ടിൽ അദ്ദേഹം താമസിച്ചിരുന്നു
Audio
ഈ പ്രസിദ്ധീകരണങ്ങൾ ആയിരങ്ങളുടെ പക്കൽ എത്തിയിരിക്കുന്നു പി
Audio
തീർച്ചയായും വല്ലവനും കുറ്റവാളിയായിക്കൊണ്ട് തൻറെ രക്ഷിതാവിൻറെ അടുത്ത് ചെല്ലുന്ന പക്ഷം അവന്നുള്ളത് നരകമത്രെ അതിലവൻ മരിക്കുകയില്ലജീവിക്കുകയുമില്ല
Audio
ബൈക്ക് യാത്രികനായിരുന്ന ദിണ്ടിഗൽ സ്വദേശിയാണ് മരിച്ച മറ്റൊരാൾ
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.