(1) Integration with Artificial Intelligence and Machine Learning ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

The field of voice separation has made revolutionary progress in addressing the challenging 'cocktail party problem' with the ...

College of Integrated Circuits and Micro-Nano Electronics, School of Microelectronics, State Key Laboratory of Integrated Chip and System, Fudan University, Shanghai 200433, China ...

Abstract: Voice interaction is one of the important development directions of intelligent cabins. However, various noise interferences inside and outside the vehicle pose significant challenges to ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

Introduction: The traditional crack detection method usually requires a tedious process of sensor installation and removal, which seriously affects the efficiency of ...

Table 1. Comparison of NWPA with state-of-the-art models on the VoiceBank-DEMAND dataset. Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any ...

Speech quality, as perceived by humans, is an important performance metric for telephony and voice services. It is typically measured through subjective listening tests, which can be tedious and ...

State Key Laboratory of Integrated Service Networks, Xidian University, Xian 710071, China State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology School of Microelectronics, Xidian ...