Built a modular Audio Signal Processing Lab in Python focused on DSP and audio analysis. Implemented: • FFT spectrum analysis • STFT spectrogram visualization • Low-pass / high-pass / band-pass ...
Hi Everyone--Please checkout my article I published on Audio Signal Processing for Machine Learning. If you have ever been curious how sound is produced and then creates waves that can be transformed ...
This repository belongs to the paper "Spectrum Anomaly Detection in OFDMA Systems: Simulation Framework and Benchmark Dataset", available on arXiv: arXiv:2606.02102. It provides a modular, open-source ...
In the latest sign of these AI-heavy times, the National Transportation Safety Board temporarily removed access to its docket system after discovering that voices of pilots who were killed in a UPS ...
Pilots’ voices from the last seconds of a fatal cargo plane crash have been re-created by Internet sleuths using software and AI tools. The spread of reconstructed audio recordings has prompted a US ...
Abstract: In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance ...
Abstract: Spectrum sensing is one of the key problems in the cognitive radio network. Existing spectrum sensing methods commonly use deep learning models such as the convolutional neural network (CNN) ...
The National Transportation Safety Board pulled the plug on its entire public docket system on May 21 after discovering that people on the internet had used AI to reconstruct cockpit voice recorder ...
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