DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning ...

Kendra Pierre-Louis: For Scientific American’s Science Quickly, I’m Kendra Pierre-Louis, in for Rachel Feltman. Wildlife poaching is a serious issue in many parts of the world. One way of monitoring ...

Tired of waiting for your favourite eBook to be narrated? Not anymore! You can use Audiblez, a Python program to convert your favorite Epub Ebooks to Audiobooks in Linux, macOS and Windows. Kokoro is ...

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 ...

This year, the Supercon badge goes analog! (Or at least fakes it pretty convincingly.) Taking inspiration from the phosphor scopes of yesteryear, the 2023 Vectorscope badge is part analog audio ...

Rust is an incredible powerful programming language. It is fast, compiled, without a runtime and it brings new concepts of safety to programming. It is the most beloved language for five years in a ...

Electroencephalography (EEG) source localization approaches are often used to disentangle the spatial patterns mixed up in scalp EEG recordings. However, approaches differ substantially between ...

Software Defined Radio (SDR)–the ability to process radio signals using software instead of electronics–is undeniably fascinating. However, there is a big gap from being able to use off-the-shelf SDR ...

My article “GNU Radio: Tools for Exploring the Radio Frequency Spectrum” [LJ, June 2004] provides an overview of how the GNU Radio system works and discusses a couple hardware options for getting the ...

Software radio is the technique of getting code as close to the antenna as possible. It turns radio hardware problems into software problems. The fundamental characteristic of software radio is that ...