In the late 1980s, a set of military ears listening for submarines instead picked up something far stranger: a solitary, ...

Overview: AI-generated music often sounds too perfect, with a steady pitch, a rigid rhythm, and a lack of human flaws.Repetitive loops, odd textures, and unnatu ...

This study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection ...

Get any of our free daily email newsletters — news headlines, opinion, e-edition, obituaries and more. On Dec. 1, the Yellowstone Gateway Museum opened a new exhibition called, “The Secret Language of ...

This study used deep neural networks (DNN) to reconstruct voice information (viz., speaker identity), from fMRI responses in the auditory cortex and temporal voice areas, and assessed the ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Attention mechanisms are very useful innovations in the field of artificial intelligence (AI) for processing sequential data, especially in speech and audio applications. This FAQ talks about how ...

Abstract: The increasing ability of deep learning models to produce realistic-sounding synthetic speech poses serious problems for privacy, public trust, and digital security. To counter this danger, ...

I've been digging into the audio preprocessing in transformers.js and noticed an issue: There are currently no unit tests for the audio_utils module in the JS implementation. The output of spectrogram ...