Scientists claim that the Arctic soundscape is much more diverse than previously thought, and propose a change in how it ...

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, ...

We may receive a commission on purchases made from links. HDMI has simplified home entertainment by streamlining the way devices connect. You now no longer need two separate cables to route audio and ...

If you've ever taken a look at the back of your computer, you've no doubt seen the rainbow of holes that make up the different audio ports your motherboard has to offer. You'll also spot many of the ...

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 ...

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 ...

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That's an excellent work. However I have some difficullties. As I am going the finetune only some parts of the model, I need to calculate some intermediate data. Specifically, given an audio sequence, ...