``Scaling Rich Style-Prompted Text-to-Speech Datasets,'' Anuj Diwan, Zhisheng Zheng, David Harwath, Eunsol Choi, ift.tt/vL5aeJO

Exciting News!😊INTERSPEECH 2028 will take place at the River Walk in San Antonio, Texas! ✨ I’m honored to serve as one of the General Chairs alongside John Hansen and Carlos Busso Carlos Busso - We hope you’ll love this city as much as we do! services.isca-speech.org/iscapad/iscapa…

🚀 AI4Bharat: Advancing Indian Language AI - Open & Scalable! 🇮🇳✨ Over the past 4 years, we at AI4Bharat have been on a mission to accelerate Indian language AI 🚀 —building large-scale datasets, models, and tools and releasing everything open-source for the community. Now, all

If you'd like an open-source text-to-speech model that follows your style instructions, consider using our ParaSpeechCaps-based model! Model: huggingface.co/ajd12342/parle… Paper: arxiv.org/abs/2503.04713

Recent AI models can suggest endless video edits, offering many alternatives to video creators. But how can we easily sift through them all? In our #CHI2025 paper, we propose VideoDiff, an AI video editing tool designed for editing with alternatives.

Announcing the new SotA voice-cloning TTS model: 𝗩𝗼𝗶𝗰𝗲𝗦𝘁𝗮𝗿 ⭐️ VoiceStar is - autoregressive, - voice-cloning, - robust, - duration controllable, - *test-time extrapolation*, generates speech longer than training duration! Code&Model: github.com/jasonppy/Voice…

Scott Aaronson announces he's building an Open-Phil backed AI alignment group at UT Austin. (🔗 below.) Prospective postdocs and PhD students in CS should apply asap for jobs starting as soon as August.

Have that eerie feeling of déjà vu when reading model-generated text 👀, but can’t pinpoint the specific words or phrases 👀? ✨We introduce QUDsim, to quantify discourse similarities beyond lexical, syntactic, and content overlap.

Evaluating language model responses on open-ended tasks is hard! 🤔 We introduce EvalAgent, a framework that identifies nuanced and diverse criteria 📋✍️. EvalAgent identifies 👩‍🏫🎓 expert advice on the web that implicitly address the user’s prompt 🧵👇

Can your LLM ask clarifying questions for ambiguous prompts? Come see our #ICLR25 poster this afternoon where I’ll chat about why RLHF'd LMs fail to ask clarifying questions to resolve ambiguity, and why they often confidently respond to only one interpretation instead. More ⬇️

Extremely excited to announce that I will be joining UT Austin Computer Science at UT Austin in August 2025 as an Assistant Professor! 🎉 I’m looking forward to continuing to develop AI agents that interact/communicate with people, each other, and the multimodal world. I’ll be recruiting PhD

Preethi Jyothi is advancing speech and language technologies to make AI more inclusive for low-resource Indian languages. As an associate professor at IIT-Bombay, her work in ASR and machine learning addresses challenges like accent diversity and code-switching

A pioneer in machine learning, Sunita Sarawagi has transformed how computers process unstructured data through innovations like semi-Markov conditional random fields. As a professor at IIT-Bombay and founder of its Centre for Machine Intelligence and Data Science, she’s shaped

LLMs trained to memorize new facts can’t use those facts well.🤔 We apply a hypernetwork to ✏️edit✏️ the gradients for fact propagation, improving accuracy by 2x on a challenging subset of RippleEdit!💡 Our approach, PropMEND, extends MEND with a new objective for propagation.

ParaSpeechCaps has been accepted to the EMNLP 2025 Main Conference!

Accepted at #NeurIPS2025 -- super proud of Yulu and Dheeraj for leading this! Be on the lookout for more "nuanced yes/no" work from them in the future 👀