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: The classification of human activity using radar has gained considerable attention in recent years because of the radar sensor’s resistance to harsh settings. However, when using machine ...

This project adapts the framework introduced by Carlsson et al. in On the Local Behavior of Spaces of Natural Images (2008) to the domain of audio signals. Where the original work revealed that ...

Abstract: DNA spectrograms express the periodicities of each of the four nucleotides A, T, C, and G in one or several genomic sequences to be analyzed. DNA spectral analysis can be applied to ...

The Africa Program achieves its mission through in-depth research that offers practical solutions to key challenges in US-Africa relations. The Africa Program's flagship initiatives include the ...

Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson’s disease. These approaches rely on different types of data with ...

To create a spectrogram player, you will need an audio file and an image file of its spectrogram. Spectrogram Player cannot create spectrograms automically from audio files. Fortunately, there are a ...

The Wilson Center’s prestigious Latin America Program provides non-partisan expertise to a broad community of decision makers in the United States and Latin America on critical policy issues facing ...

Deep learning has significantly advanced text-to-speech (TTS) systems. These neural network-based systems have enhanced speech synthesis quality and are increasingly vital in applications like ...

User identification systems based on electromyogram (EMG) signals, generated inside the body in different signal patterns and exhibiting individual characteristics based on muscle development and ...