[{"@type":"PropertyValue","name":"Format","value":"48kHz, 24bit, uncompressed wav, mono channel"},{"@type":"PropertyValue","name":"Recording Environment","value":"Professional recording studio"},{"@type":"PropertyValue","name":"Recording Content","value":"Contains following categories: topic(Extemporaneous speaking on a given topic), multi-level emotion, single-level emotion, paralanguage"},{"@type":"PropertyValue","name":"Personnel","value":"Professional voice actors; 1 male, 1 female"},{"@type":"PropertyValue","name":"Annotation Features","value":"Text annotation, emotion annotation, paralinguistic annotation"},{"@type":"PropertyValue","name":"Equipment","value":"Professional recording devices and software"},{"@type":"PropertyValue","name":"Language","value":"English"},{"@type":"PropertyValue","name":"Application Scenario","value":"Speech Synthesis"}]
{"id":2197,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"219","type2str":null,"dataname":"2 People - Indian English Natural Conversation Average Tone Speech Synthesis Corpus","datazy":[{"title":"Format","content":"48kHz, 24bit, uncompressed wav, mono channel"},{"title":"Recording Environment","content":"Professional recording studio"},{"title":"Recording Content","content":"Contains following categories: topic(Extemporaneous speaking on a given topic), multi-level emotion, single-level emotion, paralanguage"},{"title":"Personnel","content":"Professional voice actors; 1 male, 1 female"},{"title":"Annotation Features","content":"Text annotation, emotion annotation, paralinguistic annotation"},{"title":"Equipment","content":"Professional recording devices and software"},{"title":"Language","content":"English"},{"title":"Application Scenario","content":"Speech Synthesis"}],"datatag":"Indian English,Natural Conversation,Average Tone,Freetalk,TTS,Emotion,Multi-level Emotion,Paralanguage,Interjection","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":"F_MULTI_FEAR_0001_1.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/F_MULTI_FEAR_0001_1.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=qfTxSVg9WGrAir%2F6m%2BGqJ%2FEnKmY%3D","intro":"I think we should just walk quietly from the other side. I do not want to wake him up today.","size":978589,"progress":100,"type":"mp3"},{"name":"F_PARA_CLUCKING_0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/F_PARA_CLUCKING_0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=%2FtEXbfkhsQ1Q5hGrao2PugHNMlA%3D","intro":"Yaar, <clucking>this tailor ruined my new cotton shirt. I told him to make the sleeves tight. But look at this. They are hanging loose. Just like a big empty bag.","size":1906000,"progress":100,"type":"mp3"},{"name":"M_PARA_HESTITATE_0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/M_PARA_HESTITATE_0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=x0Gkq42i6umrsrafnD2l4Yl4vXk%3D","intro":"Yaar, <T/>um</T>... that is a difficult question. They already have so many things for their new house. We should buy something very useful for them.","size":2075824,"progress":100,"type":"mp3"},{"name":"M_PARA_YAWN_0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/M_PARA_YAWN_0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=z%2FEOVMX7FRVB6c9uZTi%2BIGMo9w8%3D","intro":"<yawn>Please do that. You are a true lifesaver today.","size":1062973,"progress":100,"type":"mp3"},{"name":"M_SINGLE_SORRY_0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/M_SINGLE_SORRY_0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=wIagrul%2FCiAG4%2FfU94N1Ywwr7Gc%3D","intro":"Yaar, I forgot it at home. I'm really sorry about that.","size":1012720,"progress":100,"type":"mp3"}],"officialSummary":"Indian English Natural Conversational Speech Synthesis Corpus. Recorded by two native voice talents (one male, one female), this corpus comprises two modules: free dialogue on specified topics and scripted emotional/paralinguistic text performances. It covers single-emotion, multi-emotion, and paralinguistic expressions (including a variety of interjections). Professional linguists have provided three-tier annotation—on text content, emotion labels, and paralinguistic phenomena. The total duration is approximately 11 hours, with audio specifications of 48 kHz sampling rate, 24‑bit depth, WAV format, mono channel. This dataset is designed to fully meet the diverse requirements of TTS research and development in terms of naturalness, expressiveness, and precise annotation.","dataexampl":null,"datakeyword":["Indian English","Natural Conversation","Average Tone","Freetalk","TTS","Emotion","Multi-level Emotion","Paralanguage","Interjection"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Voice Type,Language","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"speechSyn","dataShowType":"[{\"code\":\"0\",\"language\":\"ZH\"},{\"code\":\"1\",\"language\":\"ZH\"},{\"code\":\"2\",\"language\":\"EN\"},{\"code\":\"3\",\"language\":\"EN\"}]","productNameEn":"2 People - Indian English Natural Conversation Average Tone Speech Synthesis Corpus","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"]}
2 People - Indian English Natural Conversation Average Tone Speech Synthesis Corpus
Indian English
Natural Conversation
Average Tone
Freetalk
TTS
Emotion
Multi-level Emotion
Paralanguage
Interjection
Indian English Natural Conversational Speech Synthesis Corpus. Recorded by two native voice talents (one male, one female), this corpus comprises two modules: free dialogue on specified topics and scripted emotional/paralinguistic text performances. It covers single-emotion, multi-emotion, and paralinguistic expressions (including a variety of interjections). Professional linguists have provided three-tier annotation—on text content, emotion labels, and paralinguistic phenomena. The total duration is approximately 11 hours, with audio specifications of 48 kHz sampling rate, 24‑bit depth, WAV format, mono channel. This dataset is designed to fully meet the diverse requirements of TTS research and development in terms of naturalness, expressiveness, and precise annotation.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
48kHz, 24bit, uncompressed wav, mono channel
Recording Environment
Professional recording studio
Recording Content
Contains following categories: topic(Extemporaneous speaking on a given topic), multi-level emotion, single-level emotion, paralanguage
Personnel
Professional voice actors; 1 male, 1 female
Annotation Features
Text annotation, emotion annotation, paralinguistic annotation
Equipment
Professional recording devices and software
Language
English
Application Scenario
Speech Synthesis
Sample
Audio
I think we should just walk quietly from the other side. I do not want to wake him up today.
Audio
Yaar, <clucking>this tailor ruined my new cotton shirt. I told him to make the sleeves tight. But look at this. They are hanging loose. Just like a big empty bag.
Audio
Yaar, <T/>um</T>... that is a difficult question. They already have so many things for their new house. We should buy something very useful for them.
Audio
<yawn>Please do that. You are a true lifesaver today.
Audio
Yaar, I forgot it at home. I'm really sorry about that.
What languages and voice characteristics are covered by Nexdata’s speech synthesis datasets?
Nexdata offers speech synthesis datasets covering a broad range of languages, dialects, accents, and voice types, supported by extensive global language resources. Our datasets include diverse speakers, speaking styles, emotions, and recording scenarios to support natural and expressive Text-to-Speech (TTS) model development.
Can Nexdata customize speech synthesis datasets for specific languages or requirements?
Yes. If our off-the-shelf TTS datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, annotation, and quality control services. We can customize datasets based on target languages or dialects, speaker profiles, voice characteristics, emotions, speaking styles, recording environments, and data volume.
How does Nexdata ensure the quality and scalability of speech synthesis datasets?
Nexdata applies multi-stage quality control throughout voice data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual TTS projects and specialized datasets for specific voices, accents, emotions, or speech scenarios.
Specifications
Sample
Recommended Dataset
