Human language technologies
Advancing how machines understand and generate human language across speech, text, and translation.
Resource Efficient Driving Policy
When attacking the problem of Autonomous Driving, one must take into account strict computational constraints, posed by the desired low cost of sensors and processors, and by the required real-time performance. Specifically, when considering Driving…
On-Device Machine Intelligence with Neural Projections
Deep neural networks and other machine learning models have been transformative for building intelligent systems capable of visual recognition, speech and language understanding. While recent advances have led to progress for machine intelligence applications running…
Speech Emotion Recognition with Convolutional Neural Networks
Speech emotion recognition promises to play an important role in various fields such as healthcare, security, HCI. This talk examines various convolutional neural network architectures for recognizing emotion in utterances in the Chinese language. Experiments…
Safe Evaluation of Dialogue Management
Microsoft Information-Seeking Conversations (MISC) dataset
We introduce the Microsoft Information-Seeking Conversation data (MISC), a set of recordings of information-seeking conversations between human “seekers” and “intermediaries”. MISC includes audio and video signals; transcripts of conversation; affectual and physiological signals; recordings of…