Sound familiar?Need real back-and-forth conversation, not read speech?

Conversational Speech, Speaker-Separated

Unscripted Korean multi-party conversation. Overlaps, laughter and backchannels are all there, with one channel per speaker.

Full-duplex voiceDiarizationTTS

Use cases

Problems this data solves

01

Train full-duplex voice models on real turn-taking

02

Diarize even overlapping speech

03

Expressive voices, not read-aloud speech

Scale · specs

Total volume
[Hours] · [Clips]
Speakers
2–6 people, Korean
Genre
Talk show · variety · radio · [other genres]
Audio
Per-speaker WAV, 48 kHz, one channel per speaker
Conversation
Overlap ratio · laughter and backchannel events marked

Labels

Included
Transcript, speaker timeline, overlap segments, laughter and backchannel events
On request
Emotion, other custom labels

Request a sample

Get a sample of this collection

The button takes you to the sample request form.

Delivery

How you receive it

  • File formatPer-speaker WAV + JSON transcript
  • Bundle unitPer conversation session
  • Delivery methodDownload link · cloud bucket (manifest included)

Rights & consent

Rights & consent

Direct contract with the rights holder

Contracted directly with the producer who owns the originals

Performer consent scope

Within the scope of performers’ consent to use their voice for AI training

Face handling options

Blur non-consenting faces or fully anonymize

Non-exclusive · fixed term

Non-exclusive use within the contract term

No-replication clause

No replicating performers’ faces or voices

Need something slightly different?

Change the speaker count, genre or labels and request a custom build.

Request a custom version
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