Research
Advancing how machines understand and generate human language across speech, text, and translation.
Microsoft researchers discuss the challenges and opportunities of making AI more inclusive and impactful for everyone—from data that represents a broader range of communities and cultures to novel use cases for AI that are globally…
A dataset of social artifacts from different Indian geographical subcultures. This repo hosts the code to run experiments on the DOSA dataset.
How can generative AI tools represent less common identities and narratives; Can LLMs help players participate in game narratives; Using LLMs to improve geospatial demographic data; A Graph RAG Approach to Query-Focused Summarization; and more.
We present MunTTS, an end-to-end text-to-speech (TTS) system specifically for Mundari, a low-resource Indian language of the Austo-Asiatic family. Our work addresses the gap in linguistic technology for underrepresented languages by collecting and processing data to…
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Large language models (LLMs) have shown remarkable performance…
Speaker(s): Eloi MolinerHost: Hannes Gamper Speech reverberation control involves the manipulation of acoustic characteristics in speech recordings, including tasks like speech dereverberation or reverberation time reduction. Diffusion implicit bridges are a recently proposed domain translation…
