Science conspiracies can be strange, funny, and oddly convincing. Here are 10 popular theories and why they continue to ...

We propose to tame the visually guided sound generation by shrinking a training dataset to a set of representative vectors aka. a codebook. These codebook vectors can, then, be controllably sampled to ...

The model uses a database of dolphin sounds to decipher, learn, and mimic them as shared vocabulary.

Converts a series of images into a continuous audio file of spectrogram images. Written in Golang and parallel performance tested in Python - Releases · corturn/images-to-spectrogram ...

CAREER COLUMN 20 August 2025 Before making a career move, try an experiment How to use a curiosity-led strategy to find the right role.

In this paper, we propose the Self-Attention-based Masked Spectrogram Generation (SAMSG) method to address the problem of model overfitting and improve generalization performance in speech emotion ...

RB: You can use recorders to collect soundscapes and create spectrograms. The visual patterns or sonotypes reflect different acoustic signals you hear in the habitat. But to count species, you need a ...

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 ...