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Voice Arena releases Joy, a dual-channel conversational speech dataset

AIVoice Arena has released Joy, a dataset of real, unscripted conversations with each speaker on a separate audio track. The data covers 100,000 hours, 50,000 speakers and 10 languages, and includes overlapping speech, interruptions, pauses and backchannels such as "mm-hmm." Santiago says separate per-speaker tracks are necessary for training conversational models to get timing right.
SantiagoVerified on X
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Really cool voice dataset from @voicearena_ai for training conversational models!

This is for anyone who's researching or developing voice models.

The data here is pretty cool:

  • Each speaker has a separate audio track
  • You get access to overlapping speech
  • Data includes interruptions, pauses, and "mm-hmm's"

If you want your models to get conversational timing right, you must use data with separate audio tracks for each speaker.

Shobhit Banga@shobhitbanga
Drop 1/15: Introducing Joy, a dual-channel conversational dataset. Real, unscripted conversations between two people, each on their own track. Built to teach voice models how people actually talk: when to listen, when to jump in, when to say “hmm”. 100,000 hours. 50,000 speakers. 10 languages.
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Santiago · x.comPublished · added here

Original title: Really cool voice dataset from @voicearena_ai for training conversational models!