GPS-aided MEMS-based inertial navigation systems is a topic of intense interest. In this paper a MEMS-IMU/GPS integrated system based on the PC104 platform is implemented and the time synchronization solution is discussed. Because of the analogue constant voltage outputs of the MEMS-IMU in the process of calibration, a method of testing the accuracy of time synchronization was developed. Some e...

In this paper, we propose self-supervised speaker representation learning strategies, which comprise of a bootstrap equilibrium in the front-end and an uncertainty-aware probabilistic embedding training back-end. stage, learn representations via scheme with uniformity regularization term. back-end embeddings are estimated by maximizing mutual likelihood score between speech samples belonging to...

We propose novel deep speaker representation learning that considers perceptual similarity among speakers for multi-speaker generative modeling. Following its success in accurate discriminative modeling of individuality, knowledge (i.e., using neural networks) has been introduced to However, the conventional algorithm does not necessarily learn embeddings suitable such modeling, which may resul...