Pūkeko use sound elements to create calls and combine them to create complex call sequences in order to expand the range of ...

Howler monkeys are relatively small primates known for their incredibly loud, low-frequency roars that sound as if they come from a much larger creature. This is useful in the animal kingdom because ...

Pūkeko use sound elements to create calls and combine them to create complex call sequences in order to expand the range of options for expressing themselves – these are the findings of an ...

The shooting death of Renee Macklin Good in Minneapolis, Minnesota, has quickly become a rallying point in the broader ...

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 ...

Abstract: This study analyzes techniques for compressing generative autoencoders to enable their deployment on resource-constrained devices, addressing the challenges and optimizations required for ...

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, ...