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consome2
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consome2
updated a
dataset about 3 hours ago
consome2
published a
dataset about 3 hours ago
Post
157
We just published our H1 2026 voice AI report through FullDuplex.ai.
It covers GPT Live, the different strategies emerging in Chinese and Western voice AI, the convergence of cascade and full duplex systems, model native turn decisions, and interaction evaluation.
Read it here:
https://www.fullduplex.ai/reports
It covers GPT Live, the different strategies emerging in Chinese and Western voice AI, the convergence of cascade and full duplex systems, model native turn decisions, and interaction evaluation.
Read it here:
https://www.fullduplex.ai/reports
Post
3,305
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
Post
5,412
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