Mahimai Raja J PRO

mahimairaja

https://mahimairaja.in

AI & ML interests

Azure AI Engineer | LangChain + LangGraph | FastAPI | RAG | Voice AI

Recent Activity

replied to consome2's post 4 days ago

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 https://huggingface.co/datasets/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 https://huggingface.co/datasets/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!

reacted to consome2's post with ❤️ 4 days ago

reacted to Reubencf's post with 🤗 6 days ago

Now Live: The https://huggingface.co/spaces/Reubencf/Nano_Banana_Editor now includes 10 free requests/day! 🍌 I'm personally sponsoring these credits to help make open AI accessible to all. (Note: Limits are subject to change based on funding). Enjoy !

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replied to consome2's post 4 days ago

Awesome!

reacted to consome2's post with ❤️ 4 days ago

Post

5141

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!

2 replies

reacted to Reubencf's post with 🤗 6 days ago

Post

1746

Now Live: The Reubencf/Nano_Banana_Editor now includes 10 free requests/day! 🍌 I'm personally sponsoring these credits to help make open AI accessible to all.
(Note: Limits are subject to change based on funding).

Enjoy !