Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoftβs modern work, modern life & modern education value prop.β―We are reinventing the way people communicate and work together across the globe.β―β―
We are looking to hire a student pursuing their MSc./Ph.D. for a 12-week an internship, joining CMD Labs β an applied science team within Microsoft Teams β to work on improving transcription accuracy for AI applications, with emphasis on named entities (e.g., names of people/products/teams etc.) by applying existing or novel research and leveraging training, fine tuning, and prompt engineering of speech transformer models, as well as LLMs and audio-enabled foundations models as post-processing and re-scoring modules.
Our flagship AI applications for Teams Meetings such Team Copilot, Personal Meeting Copilot and Intelligent Recap are all fully dependent on an accurate meeting transcription as the primary grounding data. Within transcription, the importance of named entities - names of people, projects, products, companies and places - is often the most important, and yet the most challenging for the transcription engine since the names might not be a part of the model's training data.