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m.nexdata.datatang.com

2 People - Korean Natural Conversation Average Tone Speech Synthesis Corpus

Korean
Natural Conversation
Average Tone
Paralanguage
single-level emotion
multi-level emotion
Freetalk
Modal Particle
TTS

Korean 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 modal particles). 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.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
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 Sample
  • Audio

    User: 좀 늦었네? 차 막히는 시간도 아니잖아. ||| [anger1]일찍 나왔는<D/>데</D>, 여기 앞에 코너에 누가 불법 주차를 해 놨더라. 그 차 한 대 때문에 다 기다리고 있었<D/>어</D>. 짜증나<D/>게</D>.

  • Audio

    User: 오늘 발표 네 차례야, 준비 다 했지? ||| [anxiety]어떡<D/>해</D>, 머릿속이 하얘져서 떨<D/>려</D>.

  • Audio

    User: 주방에서 이상한 냄새나는 거 같은데? ||| [disgust1]음식물 쓰레기 냄새네, 오늘 버려야겠다.

  • Audio

    User: 점심에 뭐 먹을래? ||| [neutral]<T/>음…글쎄</T> 잘 모르겠네. 아무거나?

  • Audio

    User: 오늘 점심 뭐 먹지? ||| [neutral]<T/><D/>음</D></T>, 시원한 냉면 어때?

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Dataset FAQs

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.

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