Research
Researching how sound is captured, processed, and understood, from speech recognition to spatial audio.
Summary Analyzing human motion with high autonomy requires advanced capabilities in sensing, communication, energy management and AI. Wearable systems help us go beyond external cameras enabling motion analysis in the wild. However, such systems are still…
Thus far, capturing human body motion has only been possible with precisely-positioned sensors and cameras in well-calibrated studio environments. This constraint has fundamentally restricted the application of motion-capture technology to low-no mobility scenarios. To precisely…
In this talk we will discuss our recent work on AI techniques that improve the quality of audio signals for both machine understanding and sensory perception. Our best models utilize convolutional-recurrent neural networks. They improve…
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…
