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Advancing how machines understand and generate human language across speech, text, and translation.
Recent work in neural generation has attracted significant interest in controlling the form of text, such as style, persona, and politeness. However, there has been less work on controlling neural text generation for content. This…
Our latest research progress enables dynamic creation of a virtual microphone array with a set of existing devices equipped with ordinary microphones. It helps our customers more easily transcribe conversations at anytime anywhere. Also, Azure…
Microsoft is excited to be a Silver sponsor of the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) May 12 – 17, 2019, in Brighton, UK.
A palette makes it easy for painters to arrange and mix paints of different colors as they create art on the canvas before them. Having a similar tool that could allow AI to jointly learn…
Deep learning algorithms, supported by the availability of powerful Azure computing infrastructure and massive training data, constitutes the most significant driving force in our AI evolution journey. In the past three years, Microsoft reached several…
Bing Artificial Search Sessions(BASS) is a collection of 18m Artificial Search session that were created by taking real conversational Search Sessions and mapping them to publicly available queries using vector space embeddings.
MS MARCO is a collection of datasets focused on deep learning in search. The first dataset was a question answering dataset featuring 100,000 real Bing questions and a human generated answer. Since then, we released…
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