2026 will not be remembered as the year of a better model. It will be remembered as the year AI systems finally learned how to work together. The real breakthroughs are no longer happening at the ...
This application allows the processing and interpretation of single-channel seismic files (Sub-Bottom, Boomer and Sparker) in SEG-Y format. Its interface allows the application of different types of ...
This paper investigates the potential of the intrinsically motivated reinforcement learning (IMRL) approach for robotic drumming. For this purpose, we implemented an IMRL-based algorithm for a ...
Audio classification related to military activities is a challenging task due to the high levels of background noise and the lack of suitable and publicly available datasets. To bridge this gap, this ...
Solving partial differential equations is computationally expensive, creating challenges for real-time physics simulations involving the wave equation in virtual acoustics—e.g., mixed reality, spatial ...
TimeSide is a Python framework enabling low and high level audio analysis, imaging, transcoding, streaming and labelling. Its high-level API is designed to enable complex processing on very large ...
The use of autonomous recordings of animal sounds to detect species is a popular conservation tool, constantly improving in fidelity as audio hardware and software evolves. Current classification ...
首先这样的波形图，是根据音频在采样点的采样值来绘制的。像 mp3 m4a 的音乐格式，都会经历音频采样、编码的过程 ...
Many cognitive and behavioral tasks—such as interval timing, spatial navigation, motor control, and speech—require the execution of precisely-timed sequences of neural activation that cannot be fully ...
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