The Oxford, Pennsylvania, man said that’s when he was first contacted by “alien,” beings, which have since given him winning ...

RF-GPT Introduces a New Type of AI System That Can Analyze Radio Signals and Explain What it Sees Using Plain Language ...

ABU DHABI, 6th April, 2026 (WAM) -- Khalifa University of Science and Technology’s Digital Future Institute announced the launch of ‘RF-GPT’, a first-of-its-kind radio-frequency AI language model ...

Recently, mainstream mel-spectrogram-based neural vocoders rely on generative adversarial network (GAN) for high-fidelity speech generation, e.g., HiFi-GAN and BigVGAN. However, the use of GAN ...

Creating an issue in case my comment at the closed PR #9527 falls through the cracks. I just updated SE to 4.0.12, and I'm afraid the new merged waveform + spectrogram is not workable for me. As you ...

Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field of signal ...

Over the past few decades, animal sounds have seen a huge surge in research. Advances in recording equipment and analysis techniques have driven new insights into animal behaviour, population ...

The radio hackers in the audience will be familiar with a spectrogram display, but for the uninitiated, it’s basically a visual representation of how a range of frequencies are changing with time.

Abstract: In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the ...