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"Co-Prime Microphone Arrays: Geometry, Beamforming and Speech Direction" by Jiahong Zhao

A clear recording of speech is increasingly crucial for human-machine interaction with the swift development of modern electronic and smart devices employing artificial intelligence (AI) techniques, such as robots, autonomous vehicles and smart home assistants. Moreover, the outbreak of the unprecedented coronavirus disease (COVID) leads to a growing demand of remote applications in nearly all industries, including teleconferencing, remote teaching, telemedicine, hands-free telephony, mobile app...
Co Prime Microphone Array Patial Aliasing Rray Gain Irection Of Arrival Estimation Deep Learning
Source: uow.edu.au

Large Transformer Model Inference Optimization

Large transformer models are mainstream nowadays, creating SoTA results for a variety of tasks. They are powerful but very expensive to train and use. The extremely high inference cost, in both time and memory, is a big bottleneck for adopting a powerful transformer for solving real-world tasks at scale. Why is it hard to run inference for large transformer models? Besides the increasing size of SoTA models, there are two main factors contributing to the inference challenge (Pope et al.
Noam Shazeer Zhou Ma Zhu Gupta Elsen Hooker Zeroquant Yao Xiao Lin

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