Abstract: Impulsive acoustic event classification based on spectrogram representations remains challenging due to the non-stationary and broadband characteristics of transient signals. While ...

When investigating lightning, focusing not only on the light (the flash) but also on the sound (the thunder) is an effective approach. Thunder is a pressure wave in the atmosphere and carries ...

The previous chirp detection algorithm was based entirely on manual extraction of multiple features across time and space, where anomalies on a all features at the same time were chirps. This approach ...

This library is a standalone, modular spectral processing engine originally based on noise-repellent. It decouples the DSP algorithms from any specific plugin API (like LV2), allowing for easy ...

Abstract: Joint time-frequency representations (JTFRs), such as the spectrogram, provide key information about the spectral evolution of a system. This is essential for instance to analyze ...

Continuous recording of environmental sounds could allow long-term monitoring of vocal wildlife, and scaling of ecological studies to large temporal and spatial scales. However, such opportunities are ...

Passive acoustic monitoring (PAM) is increasingly being adopted as a non-invasive method for the assessment of ocean ecological dynamics. PAM is an important sampling approach for acquiring critical ...

We find nanodimensional spider silk captures airflow with maximum physical efficiency over an extremely wide frequency range from infrasound to ultrasound. The aerodynamic property of spider silk ...