The fastest way to convert audio to text in 2026 is by utilizing advanced AI-powered meeting notetakers like Vomo.ai. These ...

OpenAI will reportedly base the model on a new architecture. The company’s current flagship real-time audio model, ...

Now, the researchers at Yellowstone National Park want to learn wolf language beyond what has been fed to us through ...

Fish have been known to make sounds for over two millennia, yet much of this underwater world has remained acoustically ...

Explore some favorite visual stories of designers, developers and art directors from The Washington Post’s Design, Graphics and Opinions teams.

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: Transformers have rapidly become the preferred choice for audio classification, surpassing methods based on CNNs. However, Audio Spectrogram Transformers (ASTs) exhibit quadratic scaling due ...

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 ...

Background Heart auscultation is a widely used and cost-effective clinical tool for detecting valvular heart disease (VHD), particularly in primary care. However, existing evidence on its diagnostic ...