Research
Advancing how machines understand and generate human language across speech, text, and translation.
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 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…
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…
