anyreach-ai/dualturn-otospeech-turn-taking
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Takuya Umeki
consome2
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Full-duplex
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liked a dataset 1 day ago
anyreach-ai/dualturn-otospeech-turn-taking repliedto their post 7 days ago
Built a small site for tracking speech-to-speech, full-duplex, and audio foundation model work.
It covers models, benchmarks, datasets, and some blog posts to organize the landscape in one place.
Still early, but sharing in case it is useful:
https://www.fullduplex.ai/
If you spot missing entries or mistakes, I would really appreciate corrections. reacted to theirpost with 🔥 8 days ago
Built a small site for tracking speech-to-speech, full-duplex, and audio foundation model work.
It covers models, benchmarks, datasets, and some blog posts to organize the landscape in one place.
Still early, but sharing in case it is useful:
https://www.fullduplex.ai/
If you spot missing entries or mistakes, I would really appreciate corrections.Organizations
liked a
dataset 1 day ago
replied to their post 7 days ago
Good to know!
reacted to their post with 🔥 8 days ago
Post
3219
Built a small site for tracking speech-to-speech, full-duplex, and audio foundation model work.
It covers models, benchmarks, datasets, and some blog posts to organize the landscape in one place.
Still early, but sharing in case it is useful:
https://www.fullduplex.ai/
If you spot missing entries or mistakes, I would really appreciate corrections.
It covers models, benchmarks, datasets, and some blog posts to organize the landscape in one place.
Still early, but sharing in case it is useful:
https://www.fullduplex.ai/
If you spot missing entries or mistakes, I would really appreciate corrections.
- 2 replies
upvoted an article 8 days ago
Article
Speech-to-Speech AI: A Primer
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1
published an article 8 days ago
Article
Speech-to-Speech AI: A Primer
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1
posted an update 8 days ago
Post
3219
Built a small site for tracking speech-to-speech, full-duplex, and audio foundation model work.
It covers models, benchmarks, datasets, and some blog posts to organize the landscape in one place.
Still early, but sharing in case it is useful:
https://www.fullduplex.ai/
If you spot missing entries or mistakes, I would really appreciate corrections.
It covers models, benchmarks, datasets, and some blog posts to organize the landscape in one place.
Still early, but sharing in case it is useful:
https://www.fullduplex.ai/
If you spot missing entries or mistakes, I would really appreciate corrections.
- 2 replies
liked a
dataset 2 months ago
reacted to their post with ❤️ 3 months ago
Post
5288
We’ve released two conversational speech datasets from oto on Hugging Face 🤗
Both are based on real, casual, full-duplex conversations, but with slightly different focuses.
Dataset 1: Processed / curated subset
otoearth/otoSpeech-full-duplex-processed-141h
* Full-duplex, spontaneous multi-speaker conversations
* Participants filtered for high audio quality
* PII removal and audio enhancement applied
* Designed for training and benchmarking S2S or dialogue models
Dataset 2: Larger raw(er) release
otoearth/otoSpeech-full-duplex-280h
* Same collection pipeline, with broader coverage
* More diversity in speakers, accents, and conversation styles
* Useful for analysis, filtering, or custom preprocessing experiments
We intentionally split the release to support different research workflows:
clean and ready-to-use vs. more exploratory and research-oriented use.
The datasets are currently private, but we’re happy to approve access requests — feel free to request access if you’re interested.
If you’re working on speech-to-speech (S2S) models or are curious about full-duplex conversational data, we’d love to discuss and exchange ideas together.
Feedback and ideas are very welcome!
Both are based on real, casual, full-duplex conversations, but with slightly different focuses.
Dataset 1: Processed / curated subset
otoearth/otoSpeech-full-duplex-processed-141h
* Full-duplex, spontaneous multi-speaker conversations
* Participants filtered for high audio quality
* PII removal and audio enhancement applied
* Designed for training and benchmarking S2S or dialogue models
Dataset 2: Larger raw(er) release
otoearth/otoSpeech-full-duplex-280h
* Same collection pipeline, with broader coverage
* More diversity in speakers, accents, and conversation styles
* Useful for analysis, filtering, or custom preprocessing experiments
We intentionally split the release to support different research workflows:
clean and ready-to-use vs. more exploratory and research-oriented use.
The datasets are currently private, but we’re happy to approve access requests — feel free to request access if you’re interested.
If you’re working on speech-to-speech (S2S) models or are curious about full-duplex conversational data, we’d love to discuss and exchange ideas together.
Feedback and ideas are very welcome!
- 2 replies
replied to their post 3 months ago
Thank you! Check it out :)
posted an update 3 months ago
Post
5288
We’ve released two conversational speech datasets from oto on Hugging Face 🤗
Both are based on real, casual, full-duplex conversations, but with slightly different focuses.
Dataset 1: Processed / curated subset
otoearth/otoSpeech-full-duplex-processed-141h
* Full-duplex, spontaneous multi-speaker conversations
* Participants filtered for high audio quality
* PII removal and audio enhancement applied
* Designed for training and benchmarking S2S or dialogue models
Dataset 2: Larger raw(er) release
otoearth/otoSpeech-full-duplex-280h
* Same collection pipeline, with broader coverage
* More diversity in speakers, accents, and conversation styles
* Useful for analysis, filtering, or custom preprocessing experiments
We intentionally split the release to support different research workflows:
clean and ready-to-use vs. more exploratory and research-oriented use.
The datasets are currently private, but we’re happy to approve access requests — feel free to request access if you’re interested.
If you’re working on speech-to-speech (S2S) models or are curious about full-duplex conversational data, we’d love to discuss and exchange ideas together.
Feedback and ideas are very welcome!
Both are based on real, casual, full-duplex conversations, but with slightly different focuses.
Dataset 1: Processed / curated subset
otoearth/otoSpeech-full-duplex-processed-141h
* Full-duplex, spontaneous multi-speaker conversations
* Participants filtered for high audio quality
* PII removal and audio enhancement applied
* Designed for training and benchmarking S2S or dialogue models
Dataset 2: Larger raw(er) release
otoearth/otoSpeech-full-duplex-280h
* Same collection pipeline, with broader coverage
* More diversity in speakers, accents, and conversation styles
* Useful for analysis, filtering, or custom preprocessing experiments
We intentionally split the release to support different research workflows:
clean and ready-to-use vs. more exploratory and research-oriented use.
The datasets are currently private, but we’re happy to approve access requests — feel free to request access if you’re interested.
If you’re working on speech-to-speech (S2S) models or are curious about full-duplex conversational data, we’d love to discuss and exchange ideas together.
Feedback and ideas are very welcome!
- 2 replies
upvoted a collection 3 months ago
liked a
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updated 2
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liked a
dataset 3 months ago
Data Collection Protocol
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PII Removal & Review
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