[{"@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":"German"},{"@type":"PropertyValue","name":"Application Scenario","value":"Speech Synthesis"}]
{"id":2203,"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 - German 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":"German"},{"title":"Application Scenario","content":"Speech Synthesis"}],"datatag":"German,Average Tone,Natural Conversation,Freetalk,Emotion,TTS,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_PARA_DRAWLED_0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/F_PARA_DRAWLED_0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=BvrH026GvtdHbTym%2BCfAZk4LpXg%3D","intro":"Ein heißer Kaffee wäre jetzt <D/>suuuper</D>. Mir frieren nämlich fast die Füße ab. Lass uns gehen.","size":921949,"progress":100,"type":"mp3"},{"name":"F_PARA_SPEAK_LAUGH_0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/F_PARA_SPEAK_LAUGH_0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=rai4YDBG7QMoTO4mccTJs%2F0%2FPCo%3D","intro":"Auf jeden Fall. <A/>Er macht jetzt selbst Witze darüber</A>.","size":706591,"progress":100,"type":"mp3"},{"name":"M_MULTI_DISGUST_0001_2.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/M_MULTI_DISGUST_0001_2.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=n%2BHDcmrVUys3CQS9yLt5rw7PbS0%3D","intro":"Bäh. Ich spucke das lieber ganz schnell in eine Serviette. Mir wird bei sowas total schlecht.","size":1216369,"progress":100,"type":"mp3"},{"name":"M_PARA_SIGH_0001.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260920165125/M_PARA_SIGH_0001.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=qV2sJ%2B9d2Oh6sYGmX24UHxx08rU%3D","intro":"<sigh>Das ist wohl die beste Lösung für unser Frühstück. Wir holen uns dort frische Brötchen.","size":1350343,"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":"Tja. <yawn>Das ist eine sehr gute Idee. Ich brauche jetzt sofort viel Koffein.","size":1082923,"progress":100,"type":"mp3"}],"officialSummary":"German 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":["German","Average Tone","Natural Conversation","Freetalk","Emotion","TTS","Multi-level Emotion","Paralanguage","Interjection"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Language,Voice Type","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 - German 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 - German Natural Conversation Average Tone Speech Synthesis Corpus
German
Average Tone
Natural Conversation
Freetalk
Emotion
TTS
Multi-level Emotion
Paralanguage
Interjection
German 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
German
Application Scenario
Speech Synthesis
Sample
Audio
Ein heißer Kaffee wäre jetzt <D/>suuuper</D>. Mir frieren nämlich fast die Füße ab. Lass uns gehen.
Audio
Auf jeden Fall. <A/>Er macht jetzt selbst Witze darüber</A>.
Audio
Bäh. Ich spucke das lieber ganz schnell in eine Serviette. Mir wird bei sowas total schlecht.
Audio
<sigh>Das ist wohl die beste Lösung für unser Frühstück. Wir holen uns dort frische Brötchen.
Audio
Tja. <yawn>Das ist eine sehr gute Idee. Ich brauche jetzt sofort viel Koffein.
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
